A class of gradient unconstrained minimization algorithms with adaptive stepsize
Authors:
- M.N. VrahatisMVM.N. Vrahatis
- G.S. AndroulakisGAG.S. Androulakis
- J.N. LambrinosJLJ.N. Lambrinos
- G.D. MagoulasG.D. Magoulas
- 1 February 2000
- journal article
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 114 (2) , 367-386
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- OPTAC: a portable software package for analyzing and comparing optimization methods by visualizationJournal of Computational and Applied Mathematics, 1996
- An Introduction to OptimizationIEEE Antennas and Propagation Magazine, 1996
- Global Convergence Properties of Conjugate Gradient Methods for OptimizationSIAM Journal on Optimization, 1992
- Approximation of Boolean Functions by Sigmoidal Networks: Part I: XOR and Other Two-Variable FunctionsNeural Computation, 1989
- A Tool for the Analysis of Quasi-Newton Methods with Application to Unconstrained MinimizationSIAM Journal on Numerical Analysis, 1989
- Nonlinear successive over-relaxationNumerische Mathematik, 1984
- Minimization of functions having Lipschitz continuous first partial derivativesPacific Journal of Mathematics, 1966
- Function minimization by conjugate gradientsThe Computer Journal, 1964
- Cauchy's method of minimizationNumerische Mathematik, 1962
- The method of steepest descent for non-linear minimization problemsQuarterly of Applied Mathematics, 1944