help HELP topics: matlab/general - General purpose commands. matlab/ops - Operators and special characters. matlab/lang - Programming language constructs. matlab/elmat - Elementary matrices and matrix manipulation. matlab/elfun - Elementary math functions. matlab/specfun - Specialized math functions. matlab/matfun - Matrix functions - numerical linear algebra. matlab/datafun - Data analysis and Fourier transforms. matlab/polyfun - Interpolation and polynomials. matlab/funfun - Function functions and ODE solvers. matlab/sparfun - Sparse matrices. matlab/scribe - Annotation and Plot Editing. matlab/graph2d - Two dimensional graphs. matlab/graph3d - Three dimensional graphs. matlab/specgraph - Specialized graphs. matlab/graphics - Handle Graphics. matlab/uitools - Graphical User Interface Tools. matlab/strfun - Character strings. matlab/imagesci - Image and scientific data input/output. matlab/iofun - File input and output. matlab/audiovideo - Audio and Video support. matlab/timefun - Time and dates. matlab/datatypes - Data types and structures. matlab/verctrl - Version control. matlab/codetools - Commands for creating and debugging code. matlab/helptools - Help commands. matlab/demos - Examples and demonstrations. matlab/timeseries - Time series data visualization and exploration. matlab/hds - (No table of contents file) matlab/guide - Graphical User Interface Tools. matlab/plottools - Graphical User Interface Tools. toolbox/local - General preferences and configuration information. shared/controllib - Control Library simulink/simulink - Simulink simulink/blocks - Simulink block library. simulink/components - Simulink components. simulink/fixedandfloat - Simulink Fixed Point utilities. fixedandfloat/fxpdemos - Simulink Fixed Point Demos fixedandfloat/obsolete - (No table of contents file) simulink/simdemos - Simulink demonstrations and examples. simdemos/aerospace - Simulink: Aerospace model demonstrations and samples. simdemos/automotive - Simulink: Automotive model demonstrations and samples. simdemos/simfeatures - Simulink: Feature demonstrations and samples. simdemos/simgeneral - Simulink: General model demonstrations and samples. simulink/dee - Differential Equation Editor shared/dastudio - (No table of contents file) shared/glue - (No table of contents file) stateflow/stateflow - Stateflow rtw/rtw - (No table of contents file) simulink/modeladvisor - (No table of contents file) modeladvisor/fixpt - (No table of contents file) simulink/MPlayIO - (No table of contents file) simulink/dataobjectwizard - (No table of contents file) shared/fixedpointlib - (No table of contents file) simulink/dataimportexport - (No table of contents file) shared/hdlshared - (No table of contents file) stateflow/sfdemos - Stateflow demonstrations and samples. stateflow/coder - (No table of contents file) eml/eml - (No table of contents file) emlcoder/emlcoder - Embedded MATLAB Coder. emlcoder/emlcodermex - (No table of contents file) fixedpoint/fixedpoint - (No table of contents file) fixedpoint/fidemos - (No table of contents file) images/images - Image Processing Toolbox images/imuitools - Image Processing Toolbox --- imuitools images/imdemos - Image Processing Toolbox --- demos and sample images images/iptutils - Image Processing Toolbox --- utilities shared/imageslib - Image Processing Toolbox Library images/medformats - Image Processing Toolbox --- Medical formats slvnv/simcoverage - (No table of contents file) optim/optim - Optimization Toolbox optim/optimdemos - shared/optimlib - Optimization Toolbox Library signal/signal - Signal Processing Toolbox signal/sigtools - (No table of contents file) signal/sptoolgui - (No table of contents file) signal/sigdemos - (No table of contents file) shared/spcuilib - (No table of contents file) toolbox/stats - Statistics Toolbox vr/vr - (No table of contents file) vr/vrdemos - Virtual Reality Toolbox examples. matlab/work - (No table of contents file) help ops Operators and special characters. Arithmetic operators. plus - Plus + uplus - Unary plus + minus - Minus - uminus - Unary minus - mtimes - Matrix multiply * times - Array multiply .* mpower - Matrix power ^ power - Array power .^ mldivide - Backslash or left matrix divide \ mrdivide - Slash or right matrix divide / ldivide - Left array divide .\ rdivide - Right array divide ./ kron - Kronecker tensor product kron Relational operators. eq - Equal == ne - Not equal ~= lt - Less than < gt - Greater than > le - Less than or equal <= ge - Greater than or equal >= Logical operators. relop - Short-circuit logical AND && relop - Short-circuit logical OR || and - Element-wise logical AND & or - Element-wise logical OR | not - Logical NOT ~ xor - Logical EXCLUSIVE OR any - True if any element of vector is nonzero all - True if all elements of vector are nonzero Special characters. colon - Colon : paren - Parentheses and subscripting ( ) paren - Brackets [ ] paren - Braces and subscripting { } punct - Function handle creation @ punct - Decimal point . punct - Structure field access . punct - Parent directory .. punct - Continuation ... punct - Separator , punct - Semicolon ; punct - Comment % punct - Invoke operating system command ! punct - Assignment = punct - Quote ' transpose - Transpose .' ctranspose - Complex conjugate transpose ' horzcat - Horizontal concatenation [,] vertcat - Vertical concatenation [;] subsasgn - Subscripted assignment ( ),{ },. subsref - Subscripted reference ( ),{ },. subsindex - Subscript index Bitwise operators. bitand - Bit-wise AND. bitcmp - Complement bits. bitor - Bit-wise OR. bitmax - Maximum floating point integer. bitxor - Bit-wise XOR. bitset - Set bit. bitget - Get bit. bitshift - Bit-wise shift. Set operators. union - Set union. unique - Set unique. intersect - Set intersection. setdiff - Set difference. setxor - Set exclusive-or. ismember - True for set member. See also ARITH, RELOP, SLASH, FUNCTION_HANDLE. help plus + Plus. X + Y adds matrices X and Y. X and Y must have the same dimensions unless one is a scalar (a 1-by-1 matrix). A scalar can be added to anything. C = PLUS(A,B) is called for the syntax 'A + B' when A or B is an object. Overloaded functions or methods (ones with the same name in other directories) help timeseries/plus.m help cvdata/plus.m Reference page in Help browser doc plus lookfor eigenvalue ROSSER Classic symmetric eigenvalue test problem. WILKINSON Wilkinson's eigenvalue test matrix. BALANCE Diagonal scaling to improve eigenvalue accuracy. CONDEIG Condition number with respect to eigenvalues. EIG Eigenvalues and eigenvectors. ORDEIG Eigenvalues of quasitriangular matrices. ORDQZ Reorder eigenvalues in QZ factorization. ORDSCHUR Reorder eigenvalues in Schur factorization. POLYEIG Polynomial eigenvalue problem. QZ QZ factorization for generalized eigenvalues. EIGS Find a few eigenvalues and eigenvectors of a matrix using ARPACK EIGSHOW Graphical demonstration of eigenvalues and singular values. EXPMDEMO3 Matrix exponential via eigenvalues and eigenvectors. MAT4BVP Find the fourth eigenvalue of the Mathieu's equation. ls BORUSSIA dilan_thesis.pdf Desktop dilan_thesis.ps ML_Praktikum_U01.ps fig1.eps ML_Praktikum_U02.pdf flatroll.mat Mail func1.m T1.txt func1.m~ T1_Mitschnitt.txt guide.pdf T1_Show.txt hallo.mat T2.txt learning_biased_sampling.ps T2_Mitschnitt.txt lib T2_Test.ps logfile.txt T3 myprod.m T3_Test.ps myprod.m~ T3_Uebung.ps praktikum T3_Uebung2.ps ss08 Tag1_Mitschnitt.txt swissroll.mat bin tunet core www covs_rep01.ps ls -l total 24584 drwx--S--- 9 buenau 1024 Apr 4 11:34 BORUSSIA drwx--S--- 2 buenau 512 Oct 12 2007 Desktop -rw------- 1 buenau 139767 Apr 13 2007 ML_Praktikum_U01.ps -rw------- 1 buenau 91508 Apr 30 2007 ML_Praktikum_U02.pdf drwx------ 2 buenau 512 Oct 31 14:32 Mail -rw------- 1 buenau 22850 Apr 7 10:00 T1.txt -rw------- 1 buenau 81909 Apr 16 2007 T1_Mitschnitt.txt -rw------- 1 buenau 2718 Apr 16 2007 T1_Show.txt -rw------- 1 buenau 13887 Apr 8 09:36 T2.txt -rw------- 1 buenau 29489 Oct 9 2007 T2_Mitschnitt.txt -rw------- 1 buenau 127071 Apr 11 2007 T2_Test.ps drwx--s--x 2 buenau 512 Apr 9 09:42 T3 -rw------- 1 buenau 132750 Apr 12 2007 T3_Test.ps -rw------- 1 buenau 172098 Apr 12 2007 T3_Uebung.ps -rw------- 1 buenau 95918 Apr 12 2007 T3_Uebung2.ps -rw------- 1 buenau 29491 Oct 8 2007 Tag1_Mitschnitt.txt drwxr-sr-x 2 buenau 512 Sep 14 1994 bin drwx--S--- 2 buenau 512 Aug 2 2001 core -rw------- 1 buenau 224372 Mar 27 2007 covs_rep01.ps -rw------- 1 buenau 4315864 Mar 16 2007 dilan_thesis.pdf -rw------- 1 buenau 19110414 Mar 21 2007 dilan_thesis.ps -rw------- 1 buenau 60698 Mar 27 2007 fig1.eps -rw------- 1 buenau 23273 Apr 30 2007 flatroll.mat -rw------- 1 buenau 118 Apr 7 09:53 func1.m -rw------- 1 buenau 109 Apr 7 09:53 func1.m~ -rw------- 1 buenau 126237 Apr 30 2007 guide.pdf -rw------- 1 buenau 220 Apr 7 09:31 hallo.mat -rw------- 1 buenau 193286 Mar 27 2007 learning_biased_sampling.ps drwxr-sr-x 3 buenau 512 Sep 1 1994 lib -rw------- 1 buenau 8192 Apr 16 10:26 logfile.txt -rw------- 1 buenau 136 Apr 7 09:59 myprod.m -rw------- 1 buenau 138 Apr 7 09:58 myprod.m~ drwx--s--x 3 buenau 512 May 14 2007 praktikum drwx--s--x 2 buenau 512 Apr 7 08:46 ss08 -rw------- 1 buenau 27053 Apr 30 2007 swissroll.mat -rw------- 1 buenau 137 Mar 14 2007 tunet drwx--s--x 2 buenau 512 Mar 23 2007 www pwd ans = /home/ml/buenau !hostname pepino 1+2 ans = 3 3^3 ans = 27 sin(pi) ans = 1.2246e-16 a = 2 a = 2 a = 2; whos Name Size Bytes Class Attributes a 1x1 8 double ans 1x1 8 double b = 3*a; help ops Operators and special characters. Arithmetic operators. plus - Plus + uplus - Unary plus + minus - Minus - uminus - Unary minus - mtimes - Matrix multiply * times - Array multiply .* mpower - Matrix power ^ power - Array power .^ mldivide - Backslash or left matrix divide \ mrdivide - Slash or right matrix divide / ldivide - Left array divide .\ rdivide - Right array divide ./ kron - Kronecker tensor product kron Relational operators. eq - Equal == ne - Not equal ~= lt - Less than < gt - Greater than > le - Less than or equal <= ge - Greater than or equal >= Logical operators. relop - Short-circuit logical AND && relop - Short-circuit logical OR || and - Element-wise logical AND & or - Element-wise logical OR | not - Logical NOT ~ xor - Logical EXCLUSIVE OR any - True if any element of vector is nonzero all - True if all elements of vector are nonzero Special characters. colon - Colon : paren - Parentheses and subscripting ( ) paren - Brackets [ ] paren - Braces and subscripting { } punct - Function handle creation @ punct - Decimal point . punct - Structure field access . punct - Parent directory .. punct - Continuation ... punct - Separator , punct - Semicolon ; punct - Comment % punct - Invoke operating system command ! punct - Assignment = punct - Quote ' transpose - Transpose .' ctranspose - Complex conjugate transpose ' horzcat - Horizontal concatenation [,] vertcat - Vertical concatenation [;] subsasgn - Subscripted assignment ( ),{ },. subsref - Subscripted reference ( ),{ },. subsindex - Subscript index Bitwise operators. bitand - Bit-wise AND. bitcmp - Complement bits. bitor - Bit-wise OR. bitmax - Maximum floating point integer. bitxor - Bit-wise XOR. bitset - Set bit. bitget - Get bit. bitshift - Bit-wise shift. Set operators. union - Set union. unique - Set unique. intersect - Set intersection. setdiff - Set difference. setxor - Set exclusive-or. ismember - True for set member. See also ARITH, RELOP, SLASH, FUNCTION_HANDLE. whos Name Size Bytes Class Attributes a 1x1 8 double ans 1x1 8 double b 1x1 8 double save hallo.mat whos Name Size Bytes Class Attributes a 1x1 8 double ans 1x1 8 double b 1x1 8 double clear; whos load hallo whos Name Size Bytes Class Attributes a 1x1 8 double ans 1x1 8 double b 1x1 8 double a = [ 1 2 3 ]; a a = 1 2 3 whos Name Size Bytes Class Attributes a 1x3 24 double ans 1x1 8 double b 1x1 8 double a = [ 1 2 3 ]' a = 1 2 3 whos Name Size Bytes Class Attributes a 3x1 24 double ans 1x1 8 double b 1x1 8 double A = [ 1 4 5; 7 8 9 ]; whos Name Size Bytes Class Attributes A 2x3 48 double a 3x1 24 double ans 1x1 8 double b 1x1 8 double a = [ 1; 2; 3 ]; a a = 1 2 3 A A = 1 4 5 7 8 9 A(1,1) ans = 1 A(3,1) ??? Index exceeds matrix dimensions. A A = 1 4 5 7 8 9 a = 1:10; a a = 1 2 3 4 5 6 7 8 9 10 a = 1:2:10; a a = 1 3 5 7 9 a = 10:-3:1; a a = 10 7 4 1 A A = 1 4 5 7 8 9 A = magic(8); A A = 64 2 3 61 60 6 7 57 9 55 54 12 13 51 50 16 17 47 46 20 21 43 42 24 40 26 27 37 36 30 31 33 32 34 35 29 28 38 39 25 41 23 22 44 45 19 18 48 49 15 14 52 53 11 10 56 8 58 59 5 4 62 63 1 sum(A,1) ans = 260 260 260 260 260 260 260 260 A A = 64 2 3 61 60 6 7 57 9 55 54 12 13 51 50 16 17 47 46 20 21 43 42 24 40 26 27 37 36 30 31 33 32 34 35 29 28 38 39 25 41 23 22 44 45 19 18 48 49 15 14 52 53 11 10 56 8 58 59 5 4 62 63 1 A(1:8,3) ans = 3 54 46 27 35 22 14 59 A(1:end,3) ans = 3 54 46 27 35 22 14 59 A(:,3) ans = 3 54 46 27 35 22 14 59 A(3,:) ans = 17 47 46 20 21 43 42 24 A([1 6],:) ans = 64 2 3 61 60 6 7 57 41 23 22 44 45 19 18 48 A A = 64 2 3 61 60 6 7 57 9 55 54 12 13 51 50 16 17 47 46 20 21 43 42 24 40 26 27 37 36 30 31 33 32 34 35 29 28 38 39 25 41 23 22 44 45 19 18 48 49 15 14 52 53 11 10 56 8 58 59 5 4 62 63 1 A(3) ans = 17 A(62) ans = 48 A A = 64 2 3 61 60 6 7 57 9 55 54 12 13 51 50 16 17 47 46 20 21 43 42 24 40 26 27 37 36 30 31 33 32 34 35 29 28 38 39 25 41 23 22 44 45 19 18 48 49 15 14 52 53 11 10 56 8 58 59 5 4 62 63 1 A(1,1) = 123; A A = 123 2 3 61 60 6 7 57 9 55 54 12 13 51 50 16 17 47 46 20 21 43 42 24 40 26 27 37 36 30 31 33 32 34 35 29 28 38 39 25 41 23 22 44 45 19 18 48 49 15 14 52 53 11 10 56 8 58 59 5 4 62 63 1 A(:,3) = 123; A A = 123 2 123 61 60 6 7 57 9 55 123 12 13 51 50 16 17 47 123 20 21 43 42 24 40 26 123 37 36 30 31 33 32 34 123 29 28 38 39 25 41 23 123 44 45 19 18 48 49 15 123 52 53 11 10 56 8 58 123 5 4 62 63 1 A(:,3) = 1:8; A A = 123 2 1 61 60 6 7 57 9 55 2 12 13 51 50 16 17 47 3 20 21 43 42 24 40 26 4 37 36 30 31 33 32 34 5 29 28 38 39 25 41 23 6 44 45 19 18 48 49 15 7 52 53 11 10 56 8 58 8 5 4 62 63 1 B = [ A A A ]; B B = Columns 1 through 13 123 2 1 61 60 6 7 57 123 2 1 61 60 9 55 2 12 13 51 50 16 9 55 2 12 13 17 47 3 20 21 43 42 24 17 47 3 20 21 40 26 4 37 36 30 31 33 40 26 4 37 36 32 34 5 29 28 38 39 25 32 34 5 29 28 41 23 6 44 45 19 18 48 41 23 6 44 45 49 15 7 52 53 11 10 56 49 15 7 52 53 8 58 8 5 4 62 63 1 8 58 8 5 4 Columns 14 through 24 6 7 57 123 2 1 61 60 6 7 57 51 50 16 9 55 2 12 13 51 50 16 43 42 24 17 47 3 20 21 43 42 24 30 31 33 40 26 4 37 36 30 31 33 38 39 25 32 34 5 29 28 38 39 25 19 18 48 41 23 6 44 45 19 18 48 11 10 56 49 15 7 52 53 11 10 56 62 63 1 8 58 8 5 4 62 63 1 B = [ A; A; A ]; repmat(A, [3 1]) ans = 123 2 1 61 60 6 7 57 9 55 2 12 13 51 50 16 17 47 3 20 21 43 42 24 40 26 4 37 36 30 31 33 32 34 5 29 28 38 39 25 41 23 6 44 45 19 18 48 49 15 7 52 53 11 10 56 8 58 8 5 4 62 63 1 123 2 1 61 60 6 7 57 9 55 2 12 13 51 50 16 17 47 3 20 21 43 42 24 40 26 4 37 36 30 31 33 32 34 5 29 28 38 39 25 41 23 6 44 45 19 18 48 49 15 7 52 53 11 10 56 8 58 8 5 4 62 63 1 123 2 1 61 60 6 7 57 9 55 2 12 13 51 50 16 17 47 3 20 21 43 42 24 40 26 4 37 36 30 31 33 32 34 5 29 28 38 39 25 41 23 6 44 45 19 18 48 49 15 7 52 53 11 10 56 8 58 8 5 4 62 63 1 help repmat REPMAT Replicate and tile an array. B = repmat(A,M,N) creates a large matrix B consisting of an M-by-N tiling of copies of A. The size of B is [size(A,1)*M, size(A,2)*N]. The statement repmat(A,N) creates an N-by-N tiling. B = REPMAT(A,[M N]) accomplishes the same result as repmat(A,M,N). B = REPMAT(A,[M N P ...]) tiles the array A to produce a multidimensional array B composed of copies of A. The size of B is [size(A,1)*M, size(A,2)*N, size(A,3)*P, ...]. REPMAT(A,M,N) when A is a scalar is commonly used to produce an M-by-N matrix filled with A's value and having A's CLASS. For certain values, you may achieve the same results using other functions. Namely, REPMAT(NAN,M,N) is the same as NAN(M,N) REPMAT(SINGLE(INF),M,N) is the same as INF(M,N,'single') REPMAT(INT8(0),M,N) is the same as ZEROS(M,N,'int8') REPMAT(UINT32(1),M,N) is the same as ONES(M,N,'uint32') REPMAT(EPS,M,N) is the same as EPS(ONES(M,N)) Example: repmat(magic(2), 2, 3) repmat(uint8(5), 2, 3) Class support for input A: float: double, single See also BSXFUN, MESHGRID, ONES, ZEROS, NAN, INF. Overloaded functions or methods (ones with the same name in other directories) help categorical/repmat.m Reference page in Help browser doc repmat A = magic(3); A A = 8 1 6 3 5 7 4 9 2 A*A ans = 91 67 67 67 91 67 67 67 91 A*A(:,1) ans = 91 67 67 A*A(1,:) ??? Error using ==> mtimes Inner matrix dimensions must agree. 3*A ans = 24 3 18 9 15 21 12 27 6 A -A ??? Error: "A" was previously used as a variable, conflicting with its use here as the name of a function or command. See MATLAB Programming, "Determining Which Function Is Called" for details. A - A ans = 0 0 0 0 0 0 0 0 0 A .* A ans = 64 1 36 9 25 49 16 81 4 A .^ 0.5 ans = 2.8284 1.0000 2.4495 1.7321 2.2361 2.6458 2.0000 3.0000 1.4142 A A = 8 1 6 3 5 7 4 9 2 A ~= 5 ans = 1 1 1 1 0 1 1 1 1 find(A ~= 5) ans = 1 2 3 4 6 7 8 9 A(find(A ~= 5)) = -1 A = -1 -1 -1 -1 5 -1 -1 -1 -1 eye(5) ans = 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 zeros(3,3) ans = 0 0 0 0 0 0 0 0 0 ones(3,3) ans = 1 1 1 1 1 1 1 1 1 rand(6,6) ans = 0.8147 0.2785 0.9572 0.7922 0.6787 0.7060 0.9058 0.5469 0.4854 0.9595 0.7577 0.0318 0.1270 0.9575 0.8003 0.6557 0.7431 0.2769 0.9134 0.9649 0.1419 0.0357 0.3922 0.0462 0.6324 0.1576 0.4218 0.8491 0.6555 0.0971 0.0975 0.9706 0.9157 0.9340 0.1712 0.8235 randn(6,6) ans = -0.4326 1.1892 -0.5883 -0.0956 -0.6918 -0.3999 -1.6656 -0.0376 2.1832 -0.8323 0.8580 0.6900 0.1253 0.3273 -0.1364 0.2944 1.2540 0.8156 0.2877 0.1746 0.1139 -1.3362 -1.5937 0.7119 -1.1465 -0.1867 1.0668 0.7143 -1.4410 1.2902 1.1909 0.7258 0.0593 1.6236 0.5711 0.6686 diag([1 2 3]) ans = 1 0 0 0 2 0 0 0 3 diag(A) ans = -1 5 -1 A A = -1 -1 -1 -1 5 -1 -1 -1 -1 help elmat Elementary matrices and matrix manipulation. Elementary matrices. zeros - Zeros array. ones - Ones array. eye - Identity matrix. repmat - Replicate and tile array. rand - Uniformly distributed random numbers. randn - Normally distributed random numbers. linspace - Linearly spaced vector. logspace - Logarithmically spaced vector. freqspace - Frequency spacing for frequency response. meshgrid - X and Y arrays for 3-D plots. accumarray - Construct an array with accumulation. : - Regularly spaced vector and index into matrix. Basic array information. size - Size of array. length - Length of vector. ndims - Number of dimensions. numel - Number of elements. disp - Display matrix or text. isempty - True for empty array. isequal - True if arrays are numerically equal. isequalwithequalnans - True if arrays are numerically equal. Matrix manipulation. cat - Concatenate arrays. reshape - Change size. diag - Diagonal matrices and diagonals of matrix. blkdiag - Block diagonal concatenation. tril - Extract lower triangular part. triu - Extract upper triangular part. fliplr - Flip matrix in left/right direction. flipud - Flip matrix in up/down direction. flipdim - Flip matrix along specified dimension. rot90 - Rotate matrix 90 degrees. : - Regularly spaced vector and index into matrix. find - Find indices of nonzero elements. end - Last index. sub2ind - Linear index from multiple subscripts. ind2sub - Multiple subscripts from linear index. bsxfun - Binary singleton expansion function. Multi-dimensional array functions. ndgrid - Generate arrays for N-D functions and interpolation. permute - Permute array dimensions. ipermute - Inverse permute array dimensions. shiftdim - Shift dimensions. circshift - Shift array circularly. squeeze - Remove singleton dimensions. Array utility functions. isscalar - True for scalar. isvector - True for vector. Special variables and constants. ans - Most recent answer. eps - Floating point relative accuracy. realmax - Largest positive floating point number. realmin - Smallest positive floating point number. pi - 3.1415926535897.... i - Imaginary unit. inf - Infinity. nan - Not-a-Number. isnan - True for Not-a-Number. isinf - True for infinite elements. isfinite - True for finite elements. j - Imaginary unit. why - Succinct answer. Specialized matrices. compan - Companion matrix. gallery - Higham test matrices. hadamard - Hadamard matrix. hankel - Hankel matrix. hilb - Hilbert matrix. invhilb - Inverse Hilbert matrix. magic - Magic square. pascal - Pascal matrix. rosser - Classic symmetric eigenvalue test problem. toeplitz - Toeplitz matrix. vander - Vandermonde matrix. wilkinson - Wilkinson's eigenvalue test matrix. edit ls BORUSSIA dilan_thesis.pdf Desktop dilan_thesis.ps ML_Praktikum_U01.ps fig1.eps ML_Praktikum_U02.pdf flatroll.mat Mail func1.m T1.txt func1.m~ T1_Mitschnitt.txt guide.pdf T1_Show.txt hallo.mat T2.txt learning_biased_sampling.ps T2_Mitschnitt.txt lib T2_Test.ps logfile.txt T3 myprod.m T3_Test.ps myprod.m~ T3_Uebung.ps praktikum T3_Uebung2.ps ss08 Tag1_Mitschnitt.txt swissroll.mat bin tunet core www covs_rep01.ps func1(3,3) ans = 6 [x,y] = func1(3,3) x = 6 y = 9 which func1 /home/ml/buenau/func1.m which repmat /home/ml/ml/matlab/toolbox/matlab/elmat/repmat.m type func1 function [ a b ] = func1(c, d) a = c + d; b = c*d; type repmat function B = repmat(A,M,N) %REPMAT Replicate and tile an array. % B = repmat(A,M,N) creates a large matrix B consisting of an M-by-N % tiling of copies of A. The size of B is [size(A,1)*M, size(A,2)*N]. % The statement repmat(A,N) creates an N-by-N tiling. % % B = REPMAT(A,[M N]) accomplishes the same result as repmat(A,M,N). % % B = REPMAT(A,[M N P ...]) tiles the array A to produce a % multidimensional array B composed of copies of A. The size of B is % [size(A,1)*M, size(A,2)*N, size(A,3)*P, ...]. % % REPMAT(A,M,N) when A is a scalar is commonly used to produce an M-by-N % matrix filled with A's value and having A's CLASS. For certain values, % you may achieve the same results using other functions. Namely, % REPMAT(NAN,M,N) is the same as NAN(M,N) % REPMAT(SINGLE(INF),M,N) is the same as INF(M,N,'single') % REPMAT(INT8(0),M,N) is the same as ZEROS(M,N,'int8') % REPMAT(UINT32(1),M,N) is the same as ONES(M,N,'uint32') % REPMAT(EPS,M,N) is the same as EPS(ONES(M,N)) % % Example: % repmat(magic(2), 2, 3) % repmat(uint8(5), 2, 3) % % Class support for input A: % float: double, single % % See also BSXFUN, MESHGRID, ONES, ZEROS, NAN, INF. % Copyright 1984-2006 The MathWorks, Inc. % $Revision: 1.17.4.10 $ $Date: 2006/12/15 19:27:37 $ if nargin < 2 error('MATLAB:repmat:NotEnoughInputs', 'Requires at least 2 inputs.') end if nargin == 2 if isscalar(M) siz = [M M]; else siz = M; end else siz = [M N]; end if isscalar(A) nelems = prod(siz); if nelems>0 % Since B doesn't exist, the first statement creates a B with % the right size and type. Then use scalar expansion to % fill the array. Finally reshape to the specified size. B(nelems) = A; if ~isequal(B(1), B(nelems)) || ~(isnumeric(A) || islogical(A)) % if B(1) is the same as B(nelems), then the default value filled in for % B(1:end-1) is already A, so we don't need to waste time redoing % this operation. (This optimizes the case that A is a scalar zero of % some class.) B(:) = A; end B = reshape(B,siz); else B = A(ones(siz)); end elseif ndims(A) == 2 && numel(siz) == 2 [m,n] = size(A); if (m == 1 && siz(2) == 1) B = A(ones(siz(1), 1), :); elseif (n == 1 && siz(1) == 1) B = A(:, ones(siz(2), 1)); else mind = (1:m)'; nind = (1:n)'; mind = mind(:,ones(1,siz(1))); nind = nind(:,ones(1,siz(2))); B = A(mind,nind); end else Asiz = size(A); Asiz = [Asiz ones(1,length(siz)-length(Asiz))]; siz = [siz ones(1,length(Asiz)-length(siz))]; for i=length(Asiz):-1:1 ind = (1:Asiz(i))'; subs{i} = ind(:,ones(1,siz(i))); end B = A(subs{:}); end help eig EIG Eigenvalues and eigenvectors. E = EIG(X) is a vector containing the eigenvalues of a square matrix X. [V,D] = EIG(X) produces a diagonal matrix D of eigenvalues and a full matrix V whose columns are the corresponding eigenvectors so that X*V = V*D. [V,D] = EIG(X,'nobalance') performs the computation with balancing disabled, which sometimes gives more accurate results for certain problems with unusual scaling. If X is symmetric, EIG(X,'nobalance') is ignored since X is already balanced. E = EIG(A,B) is a vector containing the generalized eigenvalues of square matrices A and B. [V,D] = EIG(A,B) produces a diagonal matrix D of generalized eigenvalues and a full matrix V whose columns are the corresponding eigenvectors so that A*V = B*V*D. EIG(A,B,'chol') is the same as EIG(A,B) for symmetric A and symmetric positive definite B. It computes the generalized eigenvalues of A and B using the Cholesky factorization of B. EIG(A,B,'qz') ignores the symmetry of A and B and uses the QZ algorithm. In general, the two algorithms return the same result, however using the QZ algorithm may be more stable for certain problems. The flag is ignored when A and B are not symmetric. See also CONDEIG, EIGS, ORDEIG. Reference page in Help browser doc eig which eig built-in (/home/ml/ml/matlab/toolbox/matlab/matfun/@single/eig) % single method type eig 'eig' is a built-in function. path MATLABPATH /home/ml/ml/matlab/toolbox/matlab/general /home/ml/ml/matlab/toolbox/matlab/ops /home/ml/ml/matlab/toolbox/matlab/lang /home/ml/ml/matlab/toolbox/matlab/elmat /home/ml/ml/matlab/toolbox/matlab/elfun /home/ml/ml/matlab/toolbox/matlab/specfun /home/ml/ml/matlab/toolbox/matlab/matfun /home/ml/ml/matlab/toolbox/matlab/datafun /home/ml/ml/matlab/toolbox/matlab/polyfun /home/ml/ml/matlab/toolbox/matlab/funfun /home/ml/ml/matlab/toolbox/matlab/sparfun /home/ml/ml/matlab/toolbox/matlab/scribe /home/ml/ml/matlab/toolbox/matlab/graph2d /home/ml/ml/matlab/toolbox/matlab/graph3d /home/ml/ml/matlab/toolbox/matlab/specgraph /home/ml/ml/matlab/toolbox/matlab/graphics /home/ml/ml/matlab/toolbox/matlab/uitools /home/ml/ml/matlab/toolbox/matlab/strfun /home/ml/ml/matlab/toolbox/matlab/imagesci 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/home/ml/ml/matlab/toolbox/shared/imageslib /home/ml/ml/matlab/toolbox/images/medformats /home/ml/ml/matlab/toolbox/slvnv/simcoverage /home/ml/ml/matlab/toolbox/optim/optim /home/ml/ml/matlab/toolbox/optim/optimdemos /home/ml/ml/matlab/toolbox/shared/optimlib /home/ml/ml/matlab/toolbox/signal/signal /home/ml/ml/matlab/toolbox/signal/sigtools /home/ml/ml/matlab/toolbox/signal/sptoolgui /home/ml/ml/matlab/toolbox/signal/sigdemos /home/ml/ml/matlab/toolbox/shared/spcuilib /home/ml/ml/matlab/toolbox/stats /home/ml/ml/matlab/toolbox/vr/vr /home/ml/ml/matlab/toolbox/vr/vrdemos /home/ml/ml/matlab/work addpath('bla'); Warning: Name is nonexistent or not a directory: bla. > In path at 110 In addpath at 89 help func1 FUNC1 Computes the sum and product of the arguments. help func1 FUNC1 Computes the sum and product of the arguments. until here.S [x,y] = func1(3,3) whos Name Size Bytes Class Attributes a 1x1 8 double c 1x1 8 double d 1x1 8 double a a = 6 c c = 3 d d = 3 dbstep 10 b = c*d; dbcont x = 6 y = 9 [x,y] = func1(3,3) ??? Error: File: /home/ml/buenau/func1.m Line: 8 Column: 11 Unexpected MATLAB expression. dbstop if error [x,y] = func1(3,3) ??? Error: File: /home/ml/buenau/func1.m Line: 8 Column: 11 Unexpected MATLAB expression. dbstop if error [x,y] = func1(3,3) ??? Error: File: /home/ml/buenau/func1.m Line: 8 Column: 11 Unexpected MATLAB expression. 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9425 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9426 through 9438 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9439 through 9451 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9452 through 9464 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9465 through 9477 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9478 through 9490 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9491 through 9503 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9504 through 9516 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9517 through 9529 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9530 through 9542 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9543 through 9555 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9556 through 9568 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9569 through 9581 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9582 through 9594 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9595 through 9607 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9608 through 9620 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9621 through 9633 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9634 through 9646 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9647 through 9659 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9660 through 9672 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9673 through 9685 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9686 through 9698 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9699 through 9711 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9712 through 9724 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9725 through 9737 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9738 through 9750 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9751 through 9763 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9764 through 9776 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9777 through 9789 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9790 through 9802 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9803 through 9815 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9816 through 9828 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9829 through 9841 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9842 through 9854 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9855 through 9867 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9868 through 9880 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9881 through 9893 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9894 through 9906 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9907 through 9919 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9920 through 9932 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9933 through 9945 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9946 through 9958 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9959 through 9971 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9972 through 9984 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9985 through 9997 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 9998 through 10010 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10011 through 10023 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10024 through 10036 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10037 through 10049 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10050 through 10062 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10063 through 10075 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10076 through 10088 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10089 through 10101 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10102 through 10114 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10115 through 10127 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10128 through 10140 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10141 through 10153 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10154 through 10166 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10167 through 10179 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10180 through 10192 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10193 through 10205 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10206 through 10218 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10219 through 10231 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10232 through 10244 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10245 through 10257 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10258 through 10270 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10271 through 10283 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10284 through 10296 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10297 through 10309 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10310 through 10322 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10323 through 10335 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10336 through 10348 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10349 through 10361 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10362 through 10374 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10375 through 10387 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10388 through 10400 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10401 through 10413 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10414 through 10426 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10427 through 10439 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10440 through 10452 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10453 through 10465 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10466 through 10478 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10479 through 10491 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10492 through 10504 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10505 through 10517 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10518 through 10530 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10531 through 10543 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10544 through 10556 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10557 through 10569 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10570 through 10582 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10583 through 10595 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10596 through 10608 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10609 through 10621 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10622 through 10634 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10635 through 10647 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10648 through 10660 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10661 through 10673 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10674 through 10686 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10687 through 10699 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10700 through 10712 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10713 through 10725 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10726 through 10738 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10739 through 10751 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10752 through 10764 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10765 through 10777 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10778 through 10790 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10791 through 10803 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10804 through 10816 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10817 through 10829 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10830 through 10842 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10843 through 10855 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10856 through 10868 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10869 through 10881 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10882 through 10894 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10895 through 10907 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10908 through 10920 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10921 through 10933 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10934 through 10946 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10947 through 10959 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10960 through 10972 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10973 through 10985 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10986 through 10998 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 10999 through 11011 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11012 through 11024 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11025 through 11037 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11038 through 11050 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11051 through 11063 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11064 through 11076 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11077 through 11089 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11090 through 11102 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11103 through 11115 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11116 through 11128 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11129 through 11141 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11142 through 11154 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11155 through 11167 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11168 through 11180 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11181 through 11193 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11194 through 11206 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11207 through 11219 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11220 through 11232 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11233 through 11245 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11246 through 11258 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11259 through 11271 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11272 through 11284 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11285 through 11297 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11298 through 11310 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11311 through 11323 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11324 through 11336 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11337 through 11349 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11350 through 11362 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11363 through 11375 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11376 through 11388 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11389 through 11401 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11402 through 11414 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11415 through 11427 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11428 through 11440 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11441 through 11453 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11454 through 11466 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11467 through 11479 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11480 through 11492 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11493 through 11505 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11506 through 11518 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11519 through 11531 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11532 through 11544 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11545 through 11557 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11558 through 11570 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11571 through 11583 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11584 through 11596 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11597 through 11609 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11610 through 11622 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11623 through 11635 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11636 through 11648 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11649 through 11661 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11662 through 11674 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11675 through 11687 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11688 through 11700 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11701 through 11713 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11714 through 11726 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11727 through 11739 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11740 through 11752 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11753 through 11765 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11766 through 11778 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11779 through 11791 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11792 through 11804 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11805 through 11817 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11818 through 11830 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11831 through 11843 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11844 through 11856 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11857 through 11869 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11870 through 11882 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11883 through 11895 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11896 through 11908 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11909 through 11921 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11922 through 11934 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11935 through 11947 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11948 through 11960 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11961 through 11973 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11974 through 11986 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 11987 through 11999 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12000 through 12012 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12013 through 12025 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12026 through 12038 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12039 through 12051 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12052 through 12064 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12065 through 12077 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12078 through 12090 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12091 through 12103 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12104 through 12116 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12117 through 12129 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12130 through 12142 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12143 through 12155 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12156 through 12168 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12169 through 12181 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12182 through 12194 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12195 through 12207 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12208 through 12220 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12221 through 12233 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12234 through 12246 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12247 through 12259 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12260 through 12272 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12273 through 12285 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12286 through 12298 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 12299 through 12311 0 0 0 0 0 0 0 0 0 0 0 0 0 Column 12312 1 y = 9 [x,y] = func1(3,3) ??? Attempted to access a(888); index out of bounds because numel(a)=1. Error in ==> func1 at 9 b = a(888); 9 b = a(888); dbquit help if IF Conditionally execute statements. The general form of the IF statement is IF expression statements ELSEIF expression statements ELSE statements END The statements are executed if the real part of the expression has all non-zero elements. The ELSE and ELSEIF parts are optional. Zero or more ELSEIF parts can be used as well as nested IF's. The expression is usually of the form expr rop expr where rop is ==, <, >, <=, >=, or ~=. Example if I == J A(I,J) = 2; elseif abs(I-J) == 1 A(I,J) = -1; else A(I,J) = 0; end See also RELOP, ELSE, ELSEIF, END, FOR, WHILE, SWITCH. Reference page in Help browser doc if help while WHILE Repeat statements an indefinite number of times. The general form of a WHILE statement is: WHILE expression statements END The statements are executed while the real part of the expression has all non-zero elements. The expression is usually the result of expr rop expr where rop is ==, <, >, <=, >=, or ~=. The BREAK statement can be used to terminate the loop prematurely. For example (assuming A already defined): E = 0*A; F = E + eye(size(E)); N = 1; while norm(E+F-E,1) > 0, E = E + F; F = A*F/N; N = N + 1; end See also FOR, IF, SWITCH, BREAK, CONTINUE, END. Reference page in Help browser doc while p = myprod(1:4) p = 24 1*2*3*4 ans = 24 p = myprod([-1 -2 3 3]) p = 9 help plot PLOT Linear plot. PLOT(X,Y) plots vector Y versus vector X. If X or Y is a matrix, then the vector is plotted versus the rows or columns of the matrix, whichever line up. If X is a scalar and Y is a vector, disconnected line objects are created and plotted as discrete points vertically at X. PLOT(Y) plots the columns of Y versus their index. If Y is complex, PLOT(Y) is equivalent to PLOT(real(Y),imag(Y)). In all other uses of PLOT, the imaginary part is ignored. Various line types, plot symbols and colors may be obtained with PLOT(X,Y,S) where S is a character string made from one element from any or all the following 3 columns: b blue . point - solid g green o circle : dotted r red x x-mark -. dashdot c cyan + plus -- dashed m magenta * star (none) no line y yellow s square k black d diamond w white v triangle (down) ^ triangle (up) < triangle (left) > triangle (right) p pentagram h hexagram For example, PLOT(X,Y,'c+:') plots a cyan dotted line with a plus at each data point; PLOT(X,Y,'bd') plots blue diamond at each data point but does not draw any line. PLOT(X1,Y1,S1,X2,Y2,S2,X3,Y3,S3,...) combines the plots defined by the (X,Y,S) triples, where the X's and Y's are vectors or matrices and the S's are strings. For example, PLOT(X,Y,'y-',X,Y,'go') plots the data twice, with a solid yellow line interpolating green circles at the data points. The PLOT command, if no color is specified, makes automatic use of the colors specified by the axes ColorOrder property. The default ColorOrder is listed in the table above for color systems where the default is blue for one line, and for multiple lines, to cycle through the first six colors in the table. For monochrome systems, PLOT cycles over the axes LineStyleOrder property. If you do not specify a marker type, PLOT uses no marker. If you do not specify a line style, PLOT uses a solid line. PLOT(AX,...) plots into the axes with handle AX. PLOT returns a column vector of handles to lineseries objects, one handle per plotted line. The X,Y pairs, or X,Y,S triples, can be followed by parameter/value pairs to specify additional properties of the lines. For example, PLOT(X,Y,'LineWidth',2,'Color',[.6 0 0]) will create a plot with a dark red line width of 2 points. Example x = -pi:pi/10:pi; y = tan(sin(x)) - sin(tan(x)); plot(x,y,'--rs','LineWidth',2,... 'MarkerEdgeColor','k',... 'MarkerFaceColor','g',... 'MarkerSize',10) See also PLOTTOOLS, SEMILOGX, SEMILOGY, LOGLOG, PLOTYY, PLOT3, GRID, TITLE, XLABEL, YLABEL, AXIS, AXES, HOLD, LEGEND, SUBPLOT, SCATTER, PLOT3. Overloaded functions or methods (ones with the same name in other directories) help SimTimeseries/plot.m help timeseries/plot.m help dspdata/plot.m Reference page in Help browser doc plot x = linspace(0,2*pi,100); y = sin(x); plot(x,y) plot(x,y,'r-') plot(x,y,'ro') plot(x,y,'r+') help plot PLOT Linear plot. PLOT(X,Y) plots vector Y versus vector X. If X or Y is a matrix, then the vector is plotted versus the rows or columns of the matrix, whichever line up. If X is a scalar and Y is a vector, disconnected line objects are created and plotted as discrete points vertically at X. PLOT(Y) plots the columns of Y versus their index. If Y is complex, PLOT(Y) is equivalent to PLOT(real(Y),imag(Y)). In all other uses of PLOT, the imaginary part is ignored. Various line types, plot symbols and colors may be obtained with PLOT(X,Y,S) where S is a character string made from one element from any or all the following 3 columns: b blue . point - solid g green o circle : dotted r red x x-mark -. dashdot c cyan + plus -- dashed m magenta * star (none) no line y yellow s square k black d diamond w white v triangle (down) ^ triangle (up) < triangle (left) > triangle (right) p pentagram h hexagram For example, PLOT(X,Y,'c+:') plots a cyan dotted line with a plus at each data point; PLOT(X,Y,'bd') plots blue diamond at each data point but does not draw any line. PLOT(X1,Y1,S1,X2,Y2,S2,X3,Y3,S3,...) combines the plots defined by the (X,Y,S) triples, where the X's and Y's are vectors or matrices and the S's are strings. For example, PLOT(X,Y,'y-',X,Y,'go') plots the data twice, with a solid yellow line interpolating green circles at the data points. The PLOT command, if no color is specified, makes automatic use of the colors specified by the axes ColorOrder property. The default ColorOrder is listed in the table above for color systems where the default is blue for one line, and for multiple lines, to cycle through the first six colors in the table. For monochrome systems, PLOT cycles over the axes LineStyleOrder property. If you do not specify a marker type, PLOT uses no marker. If you do not specify a line style, PLOT uses a solid line. PLOT(AX,...) plots into the axes with handle AX. PLOT returns a column vector of handles to lineseries objects, one handle per plotted line. The X,Y pairs, or X,Y,S triples, can be followed by parameter/value pairs to specify additional properties of the lines. For example, PLOT(X,Y,'LineWidth',2,'Color',[.6 0 0]) will create a plot with a dark red line width of 2 points. Example x = -pi:pi/10:pi; y = tan(sin(x)) - sin(tan(x)); plot(x,y,'--rs','LineWidth',2,... 'MarkerEdgeColor','k',... 'MarkerFaceColor','g',... 'MarkerSize',10) See also PLOTTOOLS, SEMILOGX, SEMILOGY, LOGLOG, PLOTYY, PLOT3, GRID, TITLE, XLABEL, YLABEL, AXIS, AXES, HOLD, LEGEND, SUBPLOT, SCATTER, PLOT3. Overloaded functions or methods (ones with the same name in other directories) help SimTimeseries/plot.m help timeseries/plot.m help dspdata/plot.m Reference page in Help browser doc plot title('sin(x)'); xlabel('x'); legend('sin(x)'); hold on; hold off; hold on; plot(x,cos(x),'b--') legend('sin(x)', 'cos(x)'); clf; figure figure(1) figure(2) help graph2d Two dimensional graphs. Elementary X-Y graphs. plot - Linear plot. loglog - Log-log scale plot. semilogx - Semi-log scale plot. semilogy - Semi-log scale plot. polar - Polar coordinate plot. plotyy - Graphs with y tick labels on the left and right. Axis control. axis - Control axis scaling and appearance. zoom - Zoom in and out on a 2-D plot. grid - Grid lines. box - Axis box. rbbox - Rubberband box. hold - Hold current graph. axes - Create axes in arbitrary positions. subplot - Create axes in tiled positions. Graph annotation. plotedit - Tools for editing and annotating plots. title - Graph title. xlabel - X-axis label. ylabel - Y-axis label. texlabel - Produces the TeX format from a character string. text - Text annotation. gtext - Place text with mouse. Hardcopy and printing. print - Print graph or Simulink system; or save graph to M-file. printopt - Printer defaults. orient - Set paper orientation. See also GRAPH3D, SPECGRAPH. help graph3d Three dimensional graphs. Elementary 3-D plots. plot3 - Plot lines and points in 3-D space. mesh - 3-D mesh surface. surf - 3-D colored surface. fill3 - Filled 3-D polygons. Color control. colormap - Color look-up table. caxis - Pseudocolor axis scaling. shading - Color shading mode. hidden - Mesh hidden line removal mode. brighten - Brighten or darken color map. colordef - Set color defaults. graymon - Set graphics defaults for gray-scale monitors. Lighting. surfl - 3-D shaded surface with lighting. lighting - Lighting mode. material - Material reflectance mode. specular - Specular reflectance. diffuse - Diffuse reflectance. surfnorm - Surface normals. Color maps. hsv - Hue-saturation-value color map. hot - Black-red-yellow-white color map. gray - Linear gray-scale color map. bone - Gray-scale with tinge of blue color map. copper - Linear copper-tone color map. pink - Pastel shades of pink color map. white - All white color map. flag - Alternating red, white, blue, and black color map. lines - Color map with the line colors. colorcube - Enhanced color-cube color map. vga - Windows colormap for 16 colors. jet - Variant of HSV. prism - Prism color map. cool - Shades of cyan and magenta color map. autumn - Shades of red and yellow color map. spring - Shades of magenta and yellow color map. winter - Shades of blue and green color map. summer - Shades of green and yellow color map. Transparency. alpha - Transparency (alpha) mode. alphamap - Transparency (alpha) look-up table. alim - Transparency (alpha) scaling Axis control. axis - Control axis scaling and appearance. zoom - Zoom in and out on a 2-D plot. grid - Grid lines. box - Axis box. hold - Hold current graph. axes - Create axes in arbitrary positions. subplot - Create axes in tiled positions. daspect - Data aspect ratio. pbaspect - Plot box aspect ratio. xlim - X limits. ylim - Y limits. zlim - Z limits. Viewpoint control. view - 3-D graph viewpoint specification. viewmtx - View transformation matrix. rotate3d - Interactively rotate view of 3-D plot. Camera control. campos - Camera position. camtarget - Camera target. camva - Camera view angle. camup - Camera up vector. camproj - Camera projection. High level camera control. camorbit - Orbit camera. campan - Pan camera. camdolly - Dolly camera. camzoom - Zoom camera. camroll - Roll camera. camlookat - Move camera and target to view specified objects. cameratoolbar - Interactively manipulate camera. High level light control. camlight - Creates or sets position of a light. lightangle - Spherical position of a light. Graph annotation. title - Graph title. xlabel - X-axis label. ylabel - Y-axis label. zlabel - Z-axis label. text - Text annotation. gtext - Mouse placement of text. plotedit - Experimental graph editing and annotation tools. Hardcopy and printing. print - Print graph or Simulink system; or save graph to M-file. printopt - Printer defaults. orient - Set paper orientation. vrml - Save graphics to VRML 2.0 file. See also GRAPH2D, SPECGRAPH. help specgraph Specialized graphs. Specialized 2-D graphs. area - Filled area plot. bar - Bar graph. barh - Horizontal bar graph. comet - Comet-like trajectory. compass - Compass plot. errorbar - Error bar plot. ezplot - Easy to use function plotter. ezpolar - Easy to use polar coordinate plotter. feather - Feather plot. fill - Filled 2-D polygons. fplot - Plot function. hist - Histogram. pareto - Pareto chart. pie - Pie chart. plotmatrix - Scatter plot matrix. rose - Angle histogram plot. scatter - Scatter plot. stem - Discrete sequence or "stem" plot. stairs - Stairstep plot. Contour and 2-1/2 D graphs. contour - Contour plot. contourf - Filled contour plot. contour3 - 3-D Contour plot. clabel - Contour plot elevation labels. ezcontour - Easy to use contour plotter. ezcontourf - Easy to use filled contour plotter. pcolor - Pseudocolor (checkerboard) plot. voronoi - Voronoi diagram. Specialized 3-D graphs. bar3 - 3-D bar graph. bar3h - Horizontal 3-D bar graph. comet3 - 3-D comet-like trajectories. ezgraph3 - General purpose surface plotter. ezmesh - Easy to use 3-D mesh plotter. ezmeshc - Easy to use combination mesh/contour plotter. ezplot3 - Easy to use 3-D parametric curve plotter. ezsurf - Easy to use 3-D colored surface plotter. ezsurfc - Easy to use combination surf/contour plotter. meshc - Combination mesh/contour plot. meshz - 3-D mesh with curtain. pie3 - 3-D pie chart. ribbon - Draw 2-D lines as ribbons in 3-D. scatter3 - 3-D scatter plot. stem3 - 3-D stem plot. surfc - Combination surf/contour plot. trisurf - Triangular surface plot. trimesh - Triangular mesh plot. waterfall - Waterfall plot. Volume and vector visualization. vissuite - Visualization suite. isosurface - Isosurface extractor. isonormals - Isosurface normals. isocaps - Isosurface end caps. isocolors - Isosurface and patch colors. contourslice - Contours in slice planes. slice - Volumetric slice plot. streamline - Streamlines from 2D or 3D vector data. stream3 - 3D streamlines. stream2 - 2D streamlines. quiver3 - 3D quiver plot. quiver - 2D quiver plot. divergence - Divergence of a vector field. curl - Curl and angular velocity of a vector field. coneplot - 3D cone plot. streamtube - 3D stream tube. streamribbon - 3D stream ribbon. streamslice - Streamlines in slice planes. streamparticles - Display stream particles. interpstreamspeed - Interpolate streamline vertices from speed. subvolume - Extract subset of volume dataset. reducevolume - Reduce volume dataset. volumebounds - Returns x,y,z and color limits for volume data. smooth3 - Smooth 3D data. reducepatch - Reduce number of patch faces. shrinkfaces - Reduce size of patch faces. Images display and file I/O. image - Display image. imagesc - Scale data and display as image. colormap - Color look-up table. gray - Linear gray-scale color map. contrast - Gray scale color map to enhance image contrast. brighten - Brighten or darken color map. colorbar - Display color bar (color scale). imread - Read image from graphics file. imwrite - Write image to graphics file. imfinfo - Information about graphics file. im2java - Convert image to Java image. Movies and animation. getframe - Get movie frame. movie - Play recorded movie frames. rotate - Rotate object about specified orgin and direction. frame2im - Convert movie frame to indexed image. im2frame - Convert index image into movie format. Color related functions. spinmap - Spin color map. rgbplot - Plot color map. colstyle - Parse color and style from string. ind2rgb - Convert indexed image to RGB image. Solid modeling. cylinder - Generate cylinder. sphere - Generate sphere. ellipsoid - Generate ellipsoid. patch - Create patch. surf2patch - Convert surface data to patch data. See also GRAPH2D, GRAPH3D. pie([0.7 0.2 0.1]) figure(1); pie([0.7 0.2 0.1]) clf; imagesc(magic(3)) colorbar colormap('gray') colormap('autumn') colormap('winter') help colormap COLORMAP Color look-up table. COLORMAP(MAP) sets the current figure's colormap to MAP. COLORMAP('default') sets the current figure's colormap to the root's default, whose setting is JET. MAP = COLORMAP retrieves the current colormap. The values are in the range from 0 to 1. COLORMAP(AX,...) uses the figure corresponding to axes AX instead of the current figure. A color map matrix may have any number of rows, but it must have exactly 3 columns. Each row is interpreted as a color, with the first element specifying the intensity of red light, the second green, and the third blue. Color intensity can be specified on the interval 0.0 to 1.0. For example, [0 0 0] is black, [1 1 1] is white, [1 0 0] is pure red, [.5 .5 .5] is gray, and [127/255 1 212/255] is aquamarine. Graphics objects that use pseudocolor -- SURFACE and PATCH objects, which are created by the functions MESH, SURF, and PCOLOR -- map a color matrix, C, whose values are in the range [Cmin, Cmax], to an array of indices, k, in the range [1, m]. The values of Cmin and Cmax are either min(min(C)) and max(max(C)), or are specified by CAXIS. The mapping is linear, with Cmin mapping to index 1 and Cmax mapping to index m. The indices are then used with the colormap to determine the color associated with each matrix element. See CAXIS for details. Type HELP GRAPH3D to see a number of useful colormaps. COLORMAP is an M-file that sets the Colormap property of a figure. See also HSV, CAXIS, SPINMAP, BRIGHTEN, RGBPLOT, FIGURE, COLORMAPEDITOR. Reference page in Help browser doc colormap help graph3d Three dimensional graphs. Elementary 3-D plots. plot3 - Plot lines and points in 3-D space. mesh - 3-D mesh surface. surf - 3-D colored surface. fill3 - Filled 3-D polygons. Color control. colormap - Color look-up table. caxis - Pseudocolor axis scaling. shading - Color shading mode. hidden - Mesh hidden line removal mode. brighten - Brighten or darken color map. colordef - Set color defaults. graymon - Set graphics defaults for gray-scale monitors. Lighting. surfl - 3-D shaded surface with lighting. lighting - Lighting mode. material - Material reflectance mode. specular - Specular reflectance. diffuse - Diffuse reflectance. surfnorm - Surface normals. Color maps. hsv - Hue-saturation-value color map. hot - Black-red-yellow-white color map. gray - Linear gray-scale color map. bone - Gray-scale with tinge of blue color map. copper - Linear copper-tone color map. pink - Pastel shades of pink color map. white - All white color map. flag - Alternating red, white, blue, and black color map. lines - Color map with the line colors. colorcube - Enhanced color-cube color map. vga - Windows colormap for 16 colors. jet - Variant of HSV. prism - Prism color map. cool - Shades of cyan and magenta color map. autumn - Shades of red and yellow color map. spring - Shades of magenta and yellow color map. winter - Shades of blue and green color map. summer - Shades of green and yellow color map. Transparency. alpha - Transparency (alpha) mode. alphamap - Transparency (alpha) look-up table. alim - Transparency (alpha) scaling Axis control. axis - Control axis scaling and appearance. zoom - Zoom in and out on a 2-D plot. grid - Grid lines. box - Axis box. hold - Hold current graph. axes - Create axes in arbitrary positions. subplot - Create axes in tiled positions. daspect - Data aspect ratio. pbaspect - Plot box aspect ratio. xlim - X limits. ylim - Y limits. zlim - Z limits. Viewpoint control. view - 3-D graph viewpoint specification. viewmtx - View transformation matrix. rotate3d - Interactively rotate view of 3-D plot. Camera control. campos - Camera position. camtarget - Camera target. camva - Camera view angle. camup - Camera up vector. camproj - Camera projection. High level camera control. camorbit - Orbit camera. campan - Pan camera. camdolly - Dolly camera. camzoom - Zoom camera. camroll - Roll camera. camlookat - Move camera and target to view specified objects. cameratoolbar - Interactively manipulate camera. High level light control. camlight - Creates or sets position of a light. lightangle - Spherical position of a light. Graph annotation. title - Graph title. xlabel - X-axis label. ylabel - Y-axis label. zlabel - Z-axis label. text - Text annotation. gtext - Mouse placement of text. plotedit - Experimental graph editing and annotation tools. Hardcopy and printing. print - Print graph or Simulink system; or save graph to M-file. printopt - Printer defaults. orient - Set paper orientation. vrml - Save graphics to VRML 2.0 file. See also GRAPH2D, SPECGRAPH. colormap('jet') clf x1 = [ 1 2 ]; x2 = [ 7 -3 ]; line( [ x1(1) x2(1) ], [ x1(2), x2(2) ]); h = line( [ x1(1) x2(1) ], [ x1(2), x2(2) ]); h h = 326.0018 get(h) Color = [0 0 1] EraseMode = normal LineStyle = - LineWidth = [0.5] Marker = none MarkerSize = [6] MarkerEdgeColor = auto MarkerFaceColor = none XData = [1 7] YData = [2 -3] ZData = [] BeingDeleted = off ButtonDownFcn = Children = [] Clipping = on CreateFcn = DeleteFcn = BusyAction = queue HandleVisibility = on HitTest = on Interruptible = on Parent = [325.002] Selected = off SelectionHighlight = on Tag = Type = line UIContextMenu = [] UserData = [] Visible = on set(h, 'LineStyle', '--'); get(h); Color = [0 0 1] EraseMode = normal LineStyle = -- LineWidth = [0.5] Marker = none MarkerSize = [6] MarkerEdgeColor = auto MarkerFaceColor = none XData = [1 7] YData = [2 -3] ZData = [] BeingDeleted = off ButtonDownFcn = Children = [] Clipping = on CreateFcn = DeleteFcn = BusyAction = queue HandleVisibility = on HitTest = on Interruptible = on Parent = [325.002] Selected = off SelectionHighlight = on Tag = Type = line UIContextMenu = [] UserData = [] Visible = on set(h, 'Color', 'red') hold off; clf line( [ x1(1) x2(1) ], [ x1(2), x2(2) ]); set(h, 'LineStyle', '--'); ??? Invalid handle object. h = line( [ x1(1) x2(1) ], [ x1(2), x2(2) ]); set(h, 'LineStyle', '--'); set(h, 'Color', 'red'); set(h, 'LineStyle', ':'); set(h, 'LineWidth', 10); set(h, 'LineWidth', 20); clf; hold off; h = line( [ x1(1) x2(1) ], [ x1(2), x2(2) ]); set(h, 'LineWidth', 5); set(h, 'LineStyle', '--'); get(gca) ActivePositionProperty = outerposition ALim = [0 1] ALimMode = auto AmbientLightColor = [1 1 1] Box = off CameraPosition = [4 -0.5 17.3205] CameraPositionMode = auto CameraTarget = [4 -0.5 0] CameraTargetMode = auto CameraUpVector = [0 1 0] CameraUpVectorMode = auto CameraViewAngle = [6.60861] CameraViewAngleMode = auto CLim = [0 1] CLimMode = auto Color = [1 1 1] CurrentPoint = [ (2 by 3) double array] ColorOrder = [ (7 by 3) double array] DataAspectRatio = [3 2.5 1] DataAspectRatioMode = auto DrawMode = normal FontAngle = normal FontName = Helvetica FontSize = [10] FontUnits = points FontWeight = normal GridLineStyle = : Layer = bottom LineStyleOrder = - LineWidth = [0.5] MinorGridLineStyle = : NextPlot = replace OuterPosition = [0 0 1 1] PlotBoxAspectRatio = [1 1 1] PlotBoxAspectRatioMode = auto Projection = orthographic Position = [0.13 0.11 0.775 0.815] TickLength = [0.01 0.025] TickDir = in TickDirMode = auto TightInset = [0.0670103 0.0414365 0.0103093 0.019337] Title = [326.002] Units = normalized View = [0 90] XColor = [0 0 0] XDir = normal XGrid = off XLabel = [327.001] XAxisLocation = bottom XLim = [1 7] XLimMode = auto XMinorGrid = off XMinorTick = off XScale = linear XTick = [ (1 by 7) double array] XTickLabel = 1 2 3 4 5 6 7 XTickLabelMode = auto XTickMode = auto YColor = [0 0 0] YDir = normal YGrid = off YLabel = [328.001] YAxisLocation = left YLim = [-3 2] YLimMode = auto YMinorGrid = off YMinorTick = off YScale = linear YTick = [ (1 by 11) double array] YTickLabel = [ (11 by 4) char array] YTickLabelMode = auto YTickMode = auto ZColor = [0 0 0] ZDir = normal ZGrid = off ZLabel = [329.001] ZLim = [-1 1] ZLimMode = auto ZMinorGrid = off ZMinorTick = off ZScale = linear ZTick = [-1 0 1] ZTickLabel = ZTickLabelMode = auto ZTickMode = auto BeingDeleted = off ButtonDownFcn = Children = [325.002] Clipping = on CreateFcn = DeleteFcn = BusyAction = queue HandleVisibility = on HitTest = on Interruptible = on Parent = [1] Selected = off SelectionHighlight = on Tag = Type = axes UIContextMenu = [] UserData = [] Visible = on set(gca, 'XLim', [ -1 10 ]); get(gca, 'XTick') ans = 0 2 4 6 8 10 clf; hist(rand(1,100)) hist(randn(1,100)) hist(randn(1,1000)) help mean MEAN Average or mean value. For vectors, MEAN(X) is the mean value of the elements in X. For matrices, MEAN(X) is a row vector containing the mean value of each column. For N-D arrays, MEAN(X) is the mean value of the elements along the first non-singleton dimension of X. MEAN(X,DIM) takes the mean along the dimension DIM of X. Example: If X = [0 1 2 3 4 5] then mean(X,1) is [1.5 2.5 3.5] and mean(X,2) is [1 4] Class support for input X: float: double, single See also MEDIAN, STD, MIN, MAX, VAR, COV, MODE. Overloaded functions or methods (ones with the same name in other directories) help timeseries/mean.m Reference page in Help browser doc mean help std STD Standard deviation. For vectors, Y = STD(X) returns the standard deviation. For matrices, Y is a row vector containing the standard deviation of each column. For N-D arrays, STD operates along the first non-singleton dimension of X. STD normalizes Y by (N-1), where N is the sample size. This is the sqrt of an unbiased estimator of the variance of the population from which X is drawn, as long as X consists of independent, identically distributed samples. Y = STD(X,1) normalizes by N and produces the square root of the second moment of the sample about its mean. STD(X,0) is the same as STD(X). Y = STD(X,FLAG,DIM) takes the standard deviation along the dimension DIM of X. Pass in FLAG==0 to use the default normalization by N-1, or 1 to use N. Example: If X = [4 -2 1 9 5 7] then std(X,0,1) is [3.5355 4.9497 4.2426] and std(X,0,2) is [3.0 2.0] Class support for input X: float: double, single See also COV, MEAN, VAR, MEDIAN, CORRCOEF. Overloaded functions or methods (ones with the same name in other directories) help timeseries/std.m Reference page in Help browser doc std exit