代码搜索:Regularized

找到约 102 项符合「Regularized」的源代码

代码结果 102
www.eeworm.com/read/365849/9844572

m rs_regularized.m

function [x,w] = rs_regularized(x,w,N,rs) %RS_RESIDUAL residual resampling % % [X,W] = RS_RESIDUAL(X,W) resamples the states X % and their associated weights W using residual % resampling. % %
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m rs_regularized.m

function [x,w] = rs_regularized(x,w,N,rs) %RS_RESIDUAL residual resampling % % [X,W] = RS_RESIDUAL(X,W) resamples the states X % and their associated weights W using residual % resampling. % %
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html index.html

www.eeworm.com/read/471135/6898142

html index.html

www.eeworm.com/read/247625/12638850

txt readme.txt

Orthant-Wise Limited-memory Quasi-Newton algorithm minimizes functions of the form f(w) = loss(w) + C |w|_1 where loss is an arbitrary differentiable convex loss function, and |w|_1 is the L
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mes~orig nmcfqmhh.mes~orig

donlp2, v3, 05/29/98, copyright P. Spellucci Thu Feb 24 16:54:40 2000 nmcfqmhh step=1 rankdeficiency of grad's of active constr.! on the basis of delmin! step=1 rankdeficiency of grad's of active cons
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txt readme.txt

l1_ls: A Matlab solver for l1-regularized least squares problems. BETA version, May 10 2008 COPYRIGHT (c) 2007 Kwangmoo Koh, Seung-Jean Kim and Stephen Boyd. Permission to use, copy, modify, and d
www.eeworm.com/read/466659/7030919

m dirac.m

function y = dirac( x, epsilon ) % DIRAC Dirac function of x % DIRAC( x, epsilon ) Computes the derivative of the heaviside % function of x with respect to x. Regularized based on epsilon.
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m heaviside.m

function value = heaviside( z, epsilon ) % HEAVISIDE Heaviside function of z % HEAVISIDE( z, epsilon ) Heaviside function of z, regularized % based on epsilon. value = 0.5 .* ( 1 + ( 2 ./
www.eeworm.com/read/449131/7517941

m driver_invheat.m

% % driver_invheat.m % % % % Matthias Heinkenschloss % Department of Computational and Applied Mathematics % Rice University % March 29, 2001 % clear all % define A, the SVD U, D, V of A, t