A conjugate gradient method for unconstrained optimization problems.
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Yuan, Gonglin (2009)
International Journal of Mathematics and Mathematical Sciences
Milojica Jaćimović, Andjelija Geary (1999)
The Yugoslav Journal of Operations Research
M Gaviano, F. Testa (1984)
Numerische Mathematik
Jaroslav Doležal (1978)
Kybernetika
Ivan Hlaváček, Jan Chleboun (1996)
Applications of Mathematics
A new postprocessing technique suitable for nonuniform triangulations is employed in the sensitivity analysis of some model optimal shape design problems.
S. Saha, P.C. Das, N.N. Kishore (1990/1991)
Numerische Mathematik
Cheng, Wanyou, Zhang, Zongguo (2009)
Mathematical Problems in Engineering
Sergeant, Peter, Cimrák, Ivan, Melicher, Valdemar, Dupré, Luc, van Keer, Roger (2008)
Mathematical Problems in Engineering
V. Arnautu (1982)
Numerische Mathematik
Sahari, Mohamed Lamine, Djellit, Ilhem (2006)
Discrete Dynamics in Nature and Society
Miloš Boček (1980)
Kybernetika
El Hassane Zerrik, Hamid Bourray (2003)
International Journal of Applied Mathematics and Computer Science
The aim of this paper is to study regional gradient observability for a diffusion system and the reconstruction of the state gradient without the knowledge of the state. First, we give definitions and characterizations of these new concepts and establish necessary conditions for the sensor structure in order to obtain regional gradient observability. We also explore an approach which allows for a regional gradient reconstruction. The developed method is original and leads to a numerical algorithm...
Jean Abadie, Gabriel Guerrero (1984)
RAIRO - Operations Research - Recherche Opérationnelle
N.L. SCHRYER (1971)
Numerische Mathematik
M. A. Diniz-Ehrhardt, Zdeněk Dostál, M. A. Gomes-Ruggiero, J. M. Martínez, Sandra Augusta Santos (2001)
Applications of Mathematics
An algorithm for quadratic minimization with simple bounds is introduced, combining, as many well-known methods do, active set strategies and projection steps. The novelty is that here the criterion for acceptance of a projected trial point is weaker than the usual ones, which are based on monotone decrease of the objective function. It is proved that convergence follows as in the monotone case. Numerical experiments with bound-constrained quadratic problems from CUTE collection show that the modified...
E. Polak, G. Ribiere (1969)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
M. O. Bristeau, R. Glowinski, O. Pironneau (1976)
Publications mathématiques et informatique de Rennes
Strekalovsky, Alexander (2005)
Journal of Applied Mathematics and Decision Sciences
Vemuganti, R.R. (2004)
Journal of Applied Mathematics and Decision Sciences
Sergej Čelikovský (1988)
Kybernetika
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