代码搜索:mathematical

找到约 1,568 项符合「mathematical」的源代码

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www.eeworm.com/read/349646/10809857

m hungarian.m

function [C,T]=hungarian(A) %HUNGARIAN Solve the Assignment problem using the Hungarian method. % %[C,T]=hungarian(A) %A - a square cost matrix. %C - the optimal assignment. %T - the cost of the
www.eeworm.com/read/469416/6976096

txt cwr_readme.txt

This directory implements Cluster Weighted Regression, as described in Neil Gershenfeld, "The nature of mathematical modelling", p182. (See also http://www.media.mit.edu/physics/publications/books/n
www.eeworm.com/read/469416/6976295

m hungarian.m

function [C,T]=hungarian(A) %HUNGARIAN Solve the Assignment problem using the Hungarian method. % %[C,T]=hungarian(A) %A - a square cost matrix. %C - the optimal assignment. %T - the cost of the
www.eeworm.com/read/172533/7131608

txt trootj_cpp.txt

/* ------------------------------------------------------------------------- ! Program to calculate the first zeroes (root abscissas) of the first ! kind Bessel function of integer order N using th
www.eeworm.com/read/434208/7882423

html function2ddemo1.html

Function2DDemo1 This demo illustrates how to plot a mathematical function y = f(x) with JFreeChart. The function is sampled to create a dataset which is then plotted. This isn't idea
www.eeworm.com/read/328976/12991399

m hungarian.m

function [C,T]=hungarian(A) %HUNGARIAN Solve the Assignment problem using the Hungarian method. % %[C,T]=hungarian(A) %A - a square cost matrix. %C - the optimal assignment. %T - the cost of the optim
www.eeworm.com/read/140851/13058378

txt cwr_readme.txt

This directory implements Cluster Weighted Regression, as described in Neil Gershenfeld, "The nature of mathematical modelling", p182. (See also http://www.media.mit.edu/physics/publications/books/n
www.eeworm.com/read/140851/13058879

m hungarian.m

function [C,T]=hungarian(A) %HUNGARIAN Solve the Assignment problem using the Hungarian method. % %[C,T]=hungarian(A) %A - a square cost matrix. %C - the optimal assignment. %T - the cost of the
www.eeworm.com/read/241323/13156365

m aias.m

function f=aias(X); %> This function gives the asymptotics of Airy functions %> for positive arguments, without the exponential factor. %> Call: aias(X) %> Input: X a row vector of positive argument
www.eeworm.com/read/241323/13156397

m zed.m

function f=zed(x); %> Call: f=zed(x) %> Input: x in [1,infty] %> This is the function z(zwt) defined in Handbook of Mathematical %> Functions sect. 9.5.22 as the inverse of zet(z) defined in %> HMF s