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找到约 10,000 项符合「Matrix」的源代码

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txt (svm)[matlab].txt

支持向量机(SVM)实现的分类算法源码[matlab] 程序代码： (代码标记 [code]...[/code] ) function [iter, optCond, time, w, gamma] = lsvm(A,D,nu,tol,maxIter,alpha, ... perturb,normalize); % LSVM Langrangian Support Vector
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m mat2table.m

function[str]=mat2table(x,prec) %MAT2TABLE Converts a matrix of numbers into a LaTeX-style table. % % STR=MAT2TABLE(MAT,PREC) converts a matrix of numbers into a string % matrix. Columns of MAT a
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m jstrings.m

% % JSTRINGS Strings and groups of strings % % Manipulations of groups of strings % flushleft - Makes a blank-padded string matrix flush on the left. % flushright - Makes a blank-padded s
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m uptrbk.m

function X = uptrbk(A,B) %Input - A is an N x N nonsingular matrix % - B is an N x 1 matrix %Output - X is an N x 1 matrix containing the solution to AX=B. % NUMERICAL METHODS: Matlab P
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m lufact.m

function X = lufact(A,B) %Input - A is an N x N matrix % - B is an N x 1 matrix %Output - X is an N x 1 matrix containing the solution to AX = B. % NUMERICAL METHODS: Matlab Programs % (
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m orthproj.m

function y = orthproj(A,B) %ORTHPROJ Orthogonal projection onto a subspace. % % ORTHPROJ(A,B) projects the row vectors of matrix A onto the subspace % spanned by the row vectors of matrix B.
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m mext.m

function MM = mext(MM) % @MEAS/MEXT - Extract the discrete support of a measure % from its moment matrix % % The command M = MEXT(M) attempts to extract the discrete support % of measure M from its mo
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txt 例1.1.txt

例1.1 >>s='matrix laboratory'; s= matrix laboratory >> size(s) % size查看数组的维数 ans= 1 17
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m lsvm.m

function [iter, optCond, time, w, gamma] = lsvm(A,D,nu,tol,maxIter,alpha, ... perturb,normalize); % LSVM Langrangian Support Vector Machine algorithm % LSVM solves a support vector machine
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m myhilb.m

function[A,B]=myhilb(n,m) % MYHILB 生成一个Hilbert矩阵 % [A,B]=myhilb(n,m) % where % n,m are size of the Hilbert matrix,if only one % argument given,then a square matrix is generated % A is the Hil
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