代码搜索:Solver

找到约 5,733 项符合「Solver」的源代码

代码结果 5,733
www.eeworm.com/read/355063/10297855

txt 新建 文本文档.txt

40种常用差分格式的源代码(Fortran) 做毕业设计时找到的,各位做数值模拟的时候可能会用得着。 这些格式见证了CFD的发展历史,从简单的CTCS到TVD、ENO这里都应有尽有。 [傲雪论坛] http://www.aoxue.org/cgi-bin/bbs/fav_add_x.cgi?id=219831&bid=13 其中包括如下源代码: 1 Simple Burgers’
www.eeworm.com/read/311740/13626771

cpp euclid.cpp

/////////RSA 欧几里得算法实现的哦~~~ #include using namespace std; void modular_linear_equation_solver(int a, int b, int n); int ext_euclid(int a,int b,int &x,int &y); void main(int arg
www.eeworm.com/read/347945/11625293

m mpcvx.m

function output = mpcvx(p) %MPCVX Approximate multi-parametric programming % % MPCVX is never called by the user directly, but is called by % YALMIP from SOLVESDP, by choosing the solver
www.eeworm.com/read/233016/14173355

m bpfig41.m

% bpfig41: BP Figure 4.1 -- Multi-Scale Edges %---------------------------------------------------------------------- % % BP using stationary wavelet dictionaries resembles the %
www.eeworm.com/read/217521/14959360

makefile

# D. Brugger, december 2006 # $Id: Makefile 1 2006-12-16 14:03:21Z beeblbrox $ CXXC = mpicxx CC = mpicc CFLAGS = -Wall -O3 # Use following flags for debugging/profiling #CFLAGS = -Wall -pg -g #CFLAGS
www.eeworm.com/read/207514/15269738

txt index.txt

Fortran语言,其中包括如下源代码: 1 Simple Burgers' Equation Solver 2 Exact Riemann Solver 3 Roe's Approximate Riemann Solver 4 Lagrange form Polynomial Interpolation 5 Newton form Polynomial Interpolati
www.eeworm.com/read/193277/8243034

m mpcvx.m

function output = mpcvx(p) %MPCVX Approximate multi-parametric programming % % MPCVX is never called by the user directly, but is called by % YALMIP from SOLVESDP, by choosing the solver
www.eeworm.com/read/386625/8734513

m coarse_grid_solve.m

%COARSE_GRID_SOLVE Solve the coarse-grid system % % COARSE_GRID_SOLVE(LEVEL,B) solves the linear system at the grid % level LEVEL with the right-hand side B. How the system is solved
www.eeworm.com/read/386625/8734439

m testmglab.m

% The commads in this file, when executed, test the capabilities of MGLab % by running each problem, and solver combination possible. Note that % issues with the visualization of results and the sm