代码搜索:Problem

找到约 10,000 项符合「Problem」的源代码

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www.eeworm.com/read/140698/13066671

c alg112.c

/* * NONLINEAR SHOOTING ALGORITHM 11.2 * * To approximate the solution of the nonlinear boundary-value problem * * Y'' = F(X,Y,Y'), A
www.eeworm.com/read/140697/13066770

m alg053.m

% RUNGE-KUTTA-FEHLBERG ALGORITHM 5.3 % % TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: % Y' = F(T,Y), A
www.eeworm.com/read/140697/13066789

m alg058.m

% TRAPEZOIDAL WITH NEWTON ITERATION ALGORITHM 5.8 % % TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: % Y' = F(T,Y), A
www.eeworm.com/read/140697/13066942

m alg053.m

% RUNGE-KUTTA-FEHLBERG ALGORITHM 5.3 % % TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: % Y' = F(T,Y), A
www.eeworm.com/read/140697/13066969

m alg058.m

% TRAPEZOIDAL WITH NEWTON ITERATION ALGORITHM 5.8 % % TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: % Y' = F(T,Y), A
www.eeworm.com/read/241364/13150783

sql utlflexc.sql

-- -- This code helps you.... -- -- - Remember to close those files when you are done or when an error -- finishes you prematurely. -- -- - Identify which error caused the problem. Prior
www.eeworm.com/read/326114/13165803

asm keyscan.asm

;REVISION HISTORY ;9/10/99 incorporated new keyscan routine to fix ps/2 ghosting problem ;8/13/98 ; changed sense of usb connect bit in port 3 ;====================================================
www.eeworm.com/read/138798/13211943

m demev1.m

%DEMEV1 Demonstrate Bayesian regression for the MLP. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/138798/13212025

m demhmc1.m

%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians. % % Description % The problem consists of generating data from a mixture of two % Gaussians in two dimensions using a
www.eeworm.com/read/138798/13212036

m demev3.m

%DEMEV3 Demonstrate Bayesian regression for the RBF. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by c