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