代码搜索：solves
找到约 1,488 项符合「solves」的源代码
代码结果 1,488
www.eeworm.com/read/210497/15198356
cpp gradebook.cpp
// Fig. 4.9: GradeBook.cpp
// Member-function definitions for class GradeBook that solves the
// class average program with counter-controlled repetition.
#include
using std::cout;
us
www.eeworm.com/read/208576/15243604
cpp gradebook.cpp
// Fig. 4.9: GradeBook.cpp
// Member-function definitions for class GradeBook that solves the
// class average program with counter-controlled repetition.
#include
using std::cout;
us
www.eeworm.com/read/461848/1549591
m ode45_test1.m
% Script file: ode45_test1.m
%
% Purpose:
% This program solves a differential equation of the
% form dy/dt + 2 * y = 0, with the initial condition
% y(0) = 1.
%
% Record of revis
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java solve.java
package jmathlib.toolbox.jmathlib.matrix._private.Jampack;
/**
Solve solves linear systems of the form
* A*X = B
* AH*X = B
* X*A = B
* X*AH
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read-me
[ READ-ME - Sun May 14 21:02:01 1989 - ISODE TSB notes - /mtr ]
This program is used as a bridge for the OSI transport service. It
is solves internetworking problems--if an application uses
www.eeworm.com/read/304358/3799776
m nlsqold.m
function [x,OPTIONS,CostFunction,JACOB] = nlsqold(FUN,x,OPTIONS,GRADFUN,varargin)
%NLSQ Solves non-linear least squares problems.
% NLSQ is the core code for solving problems of the form:
% min
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py demo.py
# This demo solves the time-dependent convection-diffusion equation by
# a least-squares stabilized cG(1)cG(1) method. The velocity field used
# in the simulation is the output from the Stokes (Taylor
www.eeworm.com/read/407519/2262680
py demo.py
# This demo solves a simple model for cardiac excitation,
# proposed in a 1995 paper by Aliev and Panfilov.
#
# Original implementation: ../cpp/main.cpp by Anders Logg.
#
__author__ = "Kristian B. Oel
www.eeworm.com/read/368662/2812393
m copf.m
function [busout, genout, branchout, f, success, info, et, g, jac] = copf( ...
baseMVA, bus, gen, branch, areas, gencost, mpopt)
%COPF Solves an AC optimal power flow using CONSTR (Op
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asv dcopf.asv
function [buso, geno, brancho, f, success, info, et] = dcopf(baseMVA, ...
bus, gen, branch, areas, gencost, mpopt)
%DCOPF Solves a DC optimal power flow.
%
% [bus, gen, branch, f