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/182126/9215635
c fix132x43.c
/*
This file assumes 132 column textmode :-).
This program tries to fix problems with extended textmodes on some cards. The problem is that for 132x43 textmode, some
BIOSes set the vertical
www.eeworm.com/read/181335/9258924
ex crews1.ex
Example 1. An Example of MEL Input for a Hydraulic Analysis Program.
(Note that tokens will be unique to each application.)
title, 'Example Problem Illustrating MEL';
fluid, "water"
de
www.eeworm.com/read/376249/9323432
c hanoi.c
/*
* Towers of Hanoi
*
* This program solves the "Towers of Hanoi" problem, which is to move a stack
* of different sized rings from one of three towers to another. Only one ring
* may be mo
www.eeworm.com/read/375719/9351853
m get.m
function out = get(quiz,info,index)
% SDMPB/GET - get information on a SDMPB object
%
% out = get(quiz,info,index);
%
% is a SDMPB object that describes a linear optimisation problem
%
www.eeworm.com/read/375719/9351860
m sdmset.m
function quiz = sdmset(quiz,Xindex,varvalu)
% SDMPB/SDMSET - set a value to some variable and modify the LMC problem
%
% quiz = sdmset(quiz,Xindex,Xvalue);
%
% Remove the matrix variable specifie
www.eeworm.com/read/178061/9420881
m unimodal.m
function B=unimodal(X,Y,Bold)
%UNIMODAL unimodal regression
%
% Solves the problem min|Y-XB'| subject to the columns of
% B are unimodal and nonnegative. The algorithm is iterative
% If an est
www.eeworm.com/read/177674/9442381
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 compu
www.eeworm.com/read/177674/9442431
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 compu
www.eeworm.com/read/177674/9442635
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/177674/9442697
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da