A simplified density matrix minimization for linear scaling self-consistent field theory
M Challacombe - The Journal of chemical physics, 1999 - pubs.aip.org
A simplified version of the Li, Nunes and Vanderbilt [Phys. Rev. B 47, 10891 (1993)] and
Daw [Phys. Rev. B 47, 10895 (1993)] density matrix minimization is introduced that requires …
Daw [Phys. Rev. B 47, 10895 (1993)] density matrix minimization is introduced that requires …
[PDF][PDF] Open problems in nonlinear conjugate gradient algorithms for unconstrained optimization.
N Andrei - Bulletin of the Malaysian Mathematical Sciences …, 2011 - eudml.org
Abstract period.. The paper presents some open problems associated to the nonlin hyphen
ear conjugate gradient algorithms for unconstrained optimization period Mainly comma …
ear conjugate gradient algorithms for unconstrained optimization period Mainly comma …
State-of-the-art in parallel nonlinear optimization
FA Lootsma, KM Ragsdell - Parallel Computing, 1988 - Elsevier
This survey is concerned with variants of nonlinear optimization methods designed for
implementation on parallel computers. First, we consider a variety of methods for …
implementation on parallel computers. First, we consider a variety of methods for …
Global convergence of the Fletcher-Reeves algorithm with inexact linesearch
L Guanghui, H Jiye, Y Hongxia - Applied Mathematics-A Journal of …, 1995 - Springer
Global convergence of the fletcher-reeves algorithm with inexact linesearch Page 1 Appl.
Math.-JCU 10B (1995), 75-82 GLOBAL CONVERGENCE OF THE FLETCHER-REEVES …
Math.-JCU 10B (1995), 75-82 GLOBAL CONVERGENCE OF THE FLETCHER-REEVES …
[PDF][PDF] UFO 2002: interactive system for universal functional optimization
L Lukšan, M Tuma, M Šiška, J Vlcek… - Prague: Institute of …, 2002 - cs.cas.cz
Institute of Computer Science UFO 2022 Interactive System for Universal Functional
Optimization Page 1 Institute of Computer Science Academy of Sciences of the Czech …
Optimization Page 1 Institute of Computer Science Academy of Sciences of the Czech …
Conjugate gradient methods less dependent on conjugacy
JL Nazareth - SIAM review, 1986 - SIAM
(1.1) [foVf(x + tax)dt]ax= ag Page 1 SIAM Rvlr.w Vol. 28, No. 4, December 1986 (C) 1986
Society for Industrial and Applied Mathematics O03 CONJUGATE GRADIENT METHODS LESS …
Society for Industrial and Applied Mathematics O03 CONJUGATE GRADIENT METHODS LESS …
Two families of scaled three-term conjugate gradient methods with sufficient descent property for nonconvex optimization
S Bojari, MR Eslahchi - Numerical Algorithms, 2020 - Springer
In this paper, we present two families of modified three-term conjugate gradient methods for
solving unconstrained large-scale smooth optimization problems. We show that our new …
solving unconstrained large-scale smooth optimization problems. We show that our new …
Self-scaled conjugate gradient training algorithms
AE Kostopoulos, TN Grapsa - Neurocomputing, 2009 - Elsevier
This article presents some efficient training algorithms, based on conjugate gradient
optimization methods. In addition to the existing conjugate gradient training algorithms, we …
optimization methods. In addition to the existing conjugate gradient training algorithms, we …
[图书][B] Linear and nonlinear conjugate gradient-related methods
LM Adams, JL Nazareth - 1996 - books.google.com
Page 1 LINEAR AND NONLINEAR CONJUGATE GRADIENT- RELATED METHODS Edited by
Loyce Adams JL Nazareth AMS-IMS-SIAM Joint Summer Research Conference siam Page 2 …
Loyce Adams JL Nazareth AMS-IMS-SIAM Joint Summer Research Conference siam Page 2 …
Generalized Polak-Ribiere algorithm
KM Khoda, Y Liu, C Storey - Journal of Optimization Theory and …, 1992 - Springer
A new generalized Polak-Ribière conjugate gradient algorithm is proposed for
unconstrained optimization, and its numerical and theoretical properties are discussed. The …
unconstrained optimization, and its numerical and theoretical properties are discussed. The …