代码搜索：solving
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tex simulator.tex
\chapter{Simulator}
\label{simulator_c}
Given an initial state and a sequence of inputs,
the \MLD{} system determines the behavior of the hybrid system. In
this scenario, solving the \MLD{} system t
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m contents.m
% Linear discriminant function.
%
% Included algorithms:
% (dir) anderson - Algorithms solving Generalized Anderson's task.
% (dir) finite - Algorithms separating finite point sets by a hyperp
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m contents.m
% Linear discriminant function.
%
% Included algorithms:
% (dir) anderson - Algorithms solving Generalized Anderson's task.
% (dir) finite - Algorithms separating finite point sets by a hyperp
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m glnodewt.m
function [x,w] = GLNodeWt(n)
% GLNodeWt Nodes and weights for Gauss-Legendre quadrature of arbitrary order
% obtained by solving an eigenvalue problem
%
% Synopsis: [x,w] = GLNodeWt(n)
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m glnodewt.m
function [x,w] = GLNodeWt(n)
% GLNodeWt Nodes and weights for Gauss-Legendre quadrature of arbitrary order
% obtained by solving an eigenvalue problem
%
% Synopsis: [x,w] = GLNodeWt(n)
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c qpc2solver.c
/*-----------------------------------------------------------------------
qpcsolver.c: Algorithm solving QPC2 task.
QPC2 task to solve is
min 0.5*alpha'*H*alpha + c'*alpha
subject
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m glnodewt.m
function [x,w] = GLNodeWt(n)
% GLNodeWt Nodes and weights for Gauss-Legendre quadrature of arbitrary order
% obtained by solving an eigenvalue problem
%
% Synopsis: [x,w] = GLNodeWt(n)
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m start.m
%> is the starting file for the Schrodinger program.
%> This is a set of files which gives access to some rough and ready MATLAB
%> routines for solving various problems in elementary quantu
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c qpc2solver.c
/*-----------------------------------------------------------------------
qpcsolver.c: Algorithm solving QPC2 task.
QPC2 task to solve is
min 0.5*alpha'*H*alpha + c'*alpha
subject
www.eeworm.com/read/253866/12181686
cpp list0715.cpp
// Listing 7.15 - Demonstrates solving the nth
// Fibonacci number using iteration
#include
unsigned int fib(unsigned int position);
int main()
{
using namespace std;
unsi