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On the global optimization properties of finite-difference local descent algorithms

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Publication:1207044
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DOI10.1007/BF01100240zbMath0796.90062MaRDI QIDQ1207044

S. K. Zavriev

Publication date: 4 May 1993

Published in: Journal of Global Optimization (Search for Journal in Brave)


zbMATH Keywords

global optimizationperturbed gradient descent method


Mathematics Subject Classification ID

Nonlinear programming (90C30) Sensitivity, stability, parametric optimization (90C31)


Related Items

Perturbed steepest-descent technique in multiextremal problems ⋮ Zeroth-order optimization with orthogonal random directions ⋮ Strongly convex set-valued maps



Cites Work

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  • Nondifferential optimization via adaptive smoothing
  • A general class of branch-and-bound methods in global optimization with some new approaches for concave minimization
  • Approximate calculation of a pseudoinverse matrix using a generalized discrepancy principle
  • A Stability Analysis for Perturbed Nonlinear Iterative Methods
  • Optimization of Globally Convex Functions
  • Convergence properties of the gradient method under conditions of variable-level interference
  • Numerical methods for finding global extrema (Case of a non-uniform mesh)
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