代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the
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m lec16mldemo1.m

% MIT 18.335 - Lecture 16 MATLAB Demo 1 % The Jacobi algorithm % Per-Olof Persson, November 2, 2006 format long % Create symmetric matrix A n=5; A0=randn(n,n); A0=A0+A0'; % Loop and apply
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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the
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m dh.m

%DH Matrix representation of manipulator kinematics % % The original robot toolbox functions used a DH matrix to describes the % kinematics of a manipulator in a general way. % % For an n-axis manipul
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m dyn.m

%DYN Matrix representation of manipulator kinematics and dynamics % % The original robot toolbox functions used a DYN matrix to describes the % kinematics and dynamics of a manipulator in a general wa
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m nested_dissection.m

function perm=nested_dissection(A) % A is the adjacency matrix which must be renumbered % A is sparse and symmetric % The output perm is a permutation array which defines the % renumbering % The ne
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txt id3algorithm(c).txt

[综合]ID3算法源程序(C语言) 网上资源, 软件技术, 电脑与网络, 科学研究 薛 峰 发表于 2005-3-25 15:43:53 PROTO.H NEGENTROPY negentropy ( REAL **, UINT, NODE*, UINT ); void print_tree ( NODE* , CHAR** ); void free_tree ( N
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m losstest.m

% MATLAB function losstest.m checks out whether % or not a Q-port network is lossless. For that % purpose, the network's Q-by-Q scattering matrix, S, % must be specified. % Invocation of function
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m evalfis.m

function [output,IRR,ORR,ARR] = evalfis(input, fis, numofpoints); % EVALFIS Perform fuzzy inference calculations. % % Y = EVALFIS(U,FIS) simulates the Fuzzy Inference System FIS for the %
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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the