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/124442/14567617
c panic.c
/*
* linux/kernel/panic.c
*
* Copyright (C) 1991, 1992 Linus Torvalds
*/
/*
* This function is used through-out the kernel (includeinh mm and fs)
* to indicate a major problem.
*/
www.eeworm.com/read/124245/14584365
bp poetry.bp
* In this problem a recurrent network is used to memorize two lines of
* poetry and in effect form a linked list. It comes from William
* James' book, _Psychology_ in the chapter on Assoication. T
www.eeworm.com/read/124245/14584374
bp circle.bp
* This is a simple classification problem with two classes. One set of
* points (class 2) is the set of points within 1 unit of the point
* (0,0). Second there is a square outside this area with a
www.eeworm.com/read/224546/14585476
m tdofss_eig.m
echo off
% tdofss_eig.m eigenvalue problem solution for tdof undamped model
% Solves for the eigenvalues and eigenvectors in the state space
% form of the tdof system.
clear all;
% define
www.eeworm.com/read/123657/14619248
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/123562/14624454
java knightthread.java
import java.awt.*;
/** This class is responsible for actually solving the Knight's Tour problem
of finding a Hamiltonian cycle for the knight on a chess board. The tour
goes through each squa
www.eeworm.com/read/221695/14729022
c panic.c
/*
* linux/kernel/panic.c
*
* Copyright (C) 1991, 1992 Linus Torvalds
*/
/*
* This function is used through-out the kernel (includeinh mm and fs)
* to indicate a major problem.
*/
www.eeworm.com/read/220289/14843731
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/220289/14843762
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/220289/14843869
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