代码搜索：Gradients

找到约 319 项符合「Gradients」的源代码

代码结果 319
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/257911/11906910

m grad_std.m

function [df, dg, d2f] = grad_std(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt) %GRAD_STD Evaluates gradients of objective function & constraints for OPF. % [df, dg] =
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www.eeworm.com/read/337307/12377365

m pcgr.m

function[p,posdef,k] = pcgr(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR); %PCGR Preconditioned conjugate gradients % % [p,posdef,k] = PCGR(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR) apply % a preconditioned c
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www.eeworm.com/read/210916/15189926

m pcgls.m

function [X,rho,eta,F] = pcgls(A,L,W,b,k,reorth,sm) %PCGLS "Preconditioned" conjugate gradients appl. implicitly to normal equations. % [X,rho,eta,F] = pcgls(A,L,W,b,k,reorth,sm) % % Performs k steps
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www.eeworm.com/read/304358/3799766

m pcgr.m

function[p,posdef,k] = pcgr(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR); %PCGR Preconditioned conjugate gradients % % [p,posdef,k] = PCGR(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR) apply % a preconditioned c
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www.eeworm.com/read/368662/2812413

m grad_std.m

function [df, dg, d2f] = grad_std(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt) %GRAD_STD Evaluates gradients of objective function & constraints for OPF. % [df, dg] =
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www.eeworm.com/read/394381/8227599

m pcgr.m

function[p,posdef,k] = pcgr(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR); %PCGR Preconditioned conjugate gradients % % [p,posdef,k] = PCGR(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR) apply % a preconditioned c
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www.eeworm.com/read/265706/11256061

m grad_std.m

function [df, dg, d2f] = grad_std(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt) %GRAD_STD Evaluates gradients of objective function & constraints for OPF. % [df, dg] =
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www.eeworm.com/read/334923/12562222

m grad_std.m

function [df, dg, d2f] = grad_std(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt) %GRAD_STD Evaluates gradients of objective function & constraints for OPF. % [df, dg] =
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www.eeworm.com/read/334860/12568056

m pcgr.m

function[p,posdef,k] = pcgr(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR); %PCGR Preconditioned conjugate gradients % % [p,posdef,k] = PCGR(DM,DG,g,kmax,tol,mtxmpy,fdata,H,R,pR) apply % a preconditioned c
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www.eeworm.com/read/418911/10891944

m pcgls.m

function [X,rho,eta,F] = pcgls(A,L,W,b,k,reorth,sm) %PCGLS "Precond." conjugate gradients appl. implicitly to normal equations. % [X,rho,eta,F] = pcgls(A,L,W,b,k,reorth,sm) % % Performs k steps of the
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