代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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c genburg.c

/* The generalized Burg technique Programmed by Daniel L. Wenger 408-425-5790 Santa Cruz, California See: "Estimation of Structured Covariance Matrices", J.P.Burg, D.G.Luenberger, D.L.Wenger; Procee
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c mchgenbg.c

/* This material contains proprietary software of Entropic Processing, Inc. Any reproduction, distribution, or publication without the the prior written permission of Entropic Processing, Inc
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txt expectedoutputtimingarray.txt

Enter the height of the matrix: 3 Enter the width of the matrix: 3 The array is Row 1: 0 10 20 Row 2: 1 11 21 Row 3: 2 12 22 Item (1,1) is 11 The special sum is 23 The different sum is 5
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java pdfshadingpattern.java

/* * Copyright 2002 Paulo Soares * * The contents of this file are subject to the Mozilla Public License Version 1.1 * (the "License"); you may not use this file except in compliance with the Lice
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txt 算法 1.1.txt

算法 1.1 void Mult_matrix( int c[][], int a[][], int b[][] ) { // a、b和c均为n阶方阵,且c是a和b的乘积 for (i=1; i
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txt 算法 1.1.txt

算法 1.1 void Mult_matrix( int c[][], int a[][], int b[][] ) { // a、b和c均为n阶方阵,且c是a和b的乘积 for (i=1; i
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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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m myhilb1.m

function[A,B]=myhilb(n,m) %问题:生成一个Hilbert矩阵,该矩阵是一个n×m矩阵,它的第i行 %第j列的元素为1/(i+j-1)。如果想在编写的函数中实现下面几点: %1)如果只给出一个输入参数,则会自动生成一个方阵,即有m=n %2)如果想返回两个参数A和B,则返回的B矩阵为A矩阵的平方, % 即B=A'A %3)在函数中给出合适的帮助信息,包括基本 ...
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m polyfit.m

function [p,S,mu] = polyfit(x,y,n) % POLYFIT Fit polynomial to data. % POLYFIT(X,Y,N) finds the coefficients of a polynomial P(X) of % degree N that fits the data, P(X(I))~=Y(I), in a least-s
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m polyfit.m

function [p,S,mu] = polyfit(x,y,n) %POLYFIT Fit polynomial to data. in private % POLYFIT(X,Y,N) finds the coefficients of a polynomial P(X) of % degree N that fits the data, P(X(I))~=Y(I), in a