代码搜索：solves

找到约 1,488 项符合「solves」的源代码

代码结果 1,488
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/200336/10247180

m fmincopf.m

function [busout, genout, branchout, f, success, info, et, g, jac] = ... fmincopf(baseMVA, bus, gen, branch, areas, gencost, Au, lbu, ubu, mpopt) %FMINCOPF Solves an AC optimal power flow using
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www.eeworm.com/read/353896/10406969

m nlsq.m

function [x,CostFunction,JAC,EXITFLAG,OUTPUT] = nlsq(funfcn,x,verbosity,options,CostFunction,JAC,YDATA,caller,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for
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www.eeworm.com/read/279401/10440820

readme

SHAREWARE FATOMO: 3-D tomography with fat rays This directory contains a cleaned FATOMO version dating from Oct., 2000, This version of FATOMO solves the coupled hypocenter-velocity problem. Tr
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www.eeworm.com/read/279380/10442759

m matsol.m

function[u,iter] = matsol(A,q,tol) % [u] = matsol(A,q,tol) % solves the linear system u = A^-1*q % Uses an SSOR preconditioner and either precg or bicstb. % Solve using ssor preconditioner % % C
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www.eeworm.com/read/424063/10501627

m lp.m

function [x,lambda,how]=lp(f,A,B,vlb,vub,x,neqcstr,verbosity) %LP Linear programming. % X=LP(f,A,b) solves the linear programming problem: % % min f'x s
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www.eeworm.com/read/349479/10825090

m fmincopf.m

function [busout, genout, branchout, f, success, info, et, g, jac] = ... fmincopf(baseMVA, bus, gen, branch, areas, gencost, Au, lbu, ubu, mpopt) %FMINCOPF Solves an AC optimal power flow using
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www.eeworm.com/read/273093/10927512

m nlsq.m

function [x,CostFunction,JAC,EXITFLAG,OUTPUT] = nlsq(funfcn,x,verbosity,options,CostFunction,JAC,YDATA,caller,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for
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www.eeworm.com/read/172061/7074793

m nlsq.m

function [x,CostFunction,JAC,EXITFLAG,OUTPUT] = nlsq(funfcn,x,verbosity,options,CostFunction,JAC,YDATA,caller,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for
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www.eeworm.com/read/446556/7576722

m eldga.m

% This program solves the economic dispatch with Bmn coefficients by % Genetic Algorithm % the data matrix should have 5 columns of fuel cost coefficients and plant limits. % 1.a ($/MW^2) 2. b $/M
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www.eeworm.com/read/441325/7671819

m fmincopf.m

function [busout, genout, branchout, f, success, info, et, g, jac] = ... fmincopf(baseMVA, bus, gen, branch, areas, gencost, Au, lbu, ubu, mpopt) %FMINCOPF Solves an AC optimal power flow using
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