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/427233/8959600

m wmatch.m

%wmatch.m %This program solves the maximum-weight matching problem. n=input('Enter the number of the verties of |T|=|S|=n=') W=input('Enter the matrix of the graph:[W(1,1),..,W(1,n);..;W(n,1),..,
www.eeworm.com/read/179809/9336014

f lf.f

program lf c...Solves the Riemann problem for the Euler equations using c...the Lax-Friedrichs method. c...TSTEP = 1 Fixed time step c...TSTEP = 2 Fixed CFL number c...Numbe
www.eeworm.com/read/178378/9404820

cpp fname2.cpp

//: C14:FName2.cpp // From Thinking in C++, 2nd Edition // at http://www.BruceEckel.com // (c) Bruce Eckel 1999 // Copyright notice in Copyright.txt // Subtyping solves the problem #include
www.eeworm.com/read/355063/10297871

f lf.f

program lf c...Solves the Riemann problem for the Euler equations using c...the Lax-Friedrichs method. c...TSTEP = 1 Fixed time step c...TSTEP = 2 Fixed CFL number c...Numbe
www.eeworm.com/read/159921/10588555

m gganders2.m

function [alpha,theta,solution,minr,t,maxerr]=... gganders2(MI,SG,J,tmax,stopCond,t,alpha,theta) % GGANDERS2 solves Generalized Anderson's task, generalized gradient. % [alpha,theta,solution,minr,t
www.eeworm.com/read/421949/10677249

m gganders2.m

function [alpha,theta,solution,minr,t,maxerr]=... gganders2(MI,SG,J,tmax,stopCond,t,alpha,theta) % GGANDERS2 solves Generalized Anderson's task, generalized gradient. % [alpha,theta,solution,minr,t
www.eeworm.com/read/418695/10935673

m qp.m

function [X,lambda,how]=qp(H,f,A,B,vlb,vub,X,neqcstr,verbosity,negdef,normalize) %QP Quadratic programming. % X=QP(H,f,A,b) solves the quadratic programming problem: % % min 0.5*x'Hx + f'x
www.eeworm.com/read/272224/7096335

m vtb4.m

function vtb4 % VTB4 % % VTB4_1 Natural frequencies and eigenvectors for an undamped % system. % VTB4_2 Free response of an undamped system. % VTB4_3 solves for the natural frequencies, dampin
www.eeworm.com/read/397102/8068594

m qp.m

function [X,lambda,how]=qp(H,f,A,B,vlb,vub,X,neqcstr,verbosity,negdef,normalize) %QP Quadratic programming. % X=QP(H,f,A,b) solves the quadratic programming problem: % % min 0.5*x'Hx + f'x
www.eeworm.com/read/296909/8072725

m gpcvx.m

function [x,status,lambda,nu,mu] = gpcvx(A,b,szs,varargin) % [x,status,lambda,nu,mu] = gpcvx(A,b,szs,G,h,l,u,quiet) % % solves the geometric program in convex form % % minimize lse(y0) % subject