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/143592/12858923
cpp prg15_6g.cpp
// File: prg15_6g.cpp
// the program solves the 8-Queens problem. it prompts the user for
// the starting row for the queen in column 0 and calls the recursive
// backtracking function queens() to
www.eeworm.com/read/143592/12858941
cpp prg15_6.cpp
// File: prg15_6.cpp
// the program solves the 8-Queens problem. it prompts the user for
// the starting row for the queen in column 0 and calls the recursive
// backtracking function queens() to d
www.eeworm.com/read/328976/12991320
m slam_err.m
% SLAM_ERR
%
% Computes error measures for the belief state of a SLAM filter
% operating on a SLAM problem.
%
% Usage:
%
% slam_err(p, f, t[, OPTIONS])
%
% Inputs:
%
% p - a SLAM probl
www.eeworm.com/read/328976/12991391
m slam2dprob.m
% SLAM2DPROB - Generates a 2D SLAM problem structure.
%
% A world consisting of a square plane with point landmarks is
% constructed; the robot travels along a prescribed path (subject to
% velo
www.eeworm.com/read/327948/13054086
m pr3_27_ss_counterbarragejammer.m
%Problem 3.27
%Simulating antijamming features of spread spectrum signals (barrage
%jammer) in comparison to plain signals;
clear all; close all;
t=[0.001:0.001:2]; N=length(t); %times scales;
www.eeworm.com/read/140851/13059261
m demrbf1.m
%DEMRBF1 Demonstrate simple regression using a radial basis function network.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by samp
www.eeworm.com/read/140851/13059365
m demmlp1.m
%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X a
www.eeworm.com/read/140700/13065908
txt alg114.txt
> restart;
> # NONLINEAR FINITE-DIFFERENCE ALGORITHM 11.4
> #
> # To approximate the solution to the nonlinear boundary-value problem
> #
> # Y'' = F(X,Y,Y'), A
www.eeworm.com/read/140700/13065928
txt alg054.txt
> restart;
> # ADAMS-FOURTH ORDER PREDICTOR-CORRECTOR ALGORITHM 5.4
> #
> # To approximate the solution of the initial value problem
> # y' = f(t,y), a
www.eeworm.com/read/140700/13065976
txt alg052.txt
> restart;
> # RUNGE-KUTTA (ORDER 4) ALGORITHM 5.2
> #
> # TO APPROXIMATE THE SOLUTION TO THE INITIAL VALUE PROBLEM:
> # Y' = F(T,Y), A