A Stochastic Smoothing Method for Nonsmooth Global Optimization

A Stochastic Smoothing Method for Nonsmooth Global Optimization

Saved in:

Bibliographic Details
Date:	2020
Main Author:	V. I. Norkin
Format:	Article
Language:	English
Published:	2020
Series:	Cybernetics and Computer Technologies
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001108747
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

A stochastic smoothing method for nonsmooth global optimization
by: Norkin, V.I.
Published: (2020)

Stochastic generalized gradient methods for training nonconvex nonsmooth neural networks
by: V. I. Norkin
Published: (2021)

On an Approach to Smoothing the Nonsmoothness of Solutions of Boundary Value Problems Using Numerical Quasiconformal Mapping Methods
by: M. V. Boichura, et al.
Published: (2021)

Stochastic optimization models of actuarial mathematics
by: Ju. M. Ermolev, et al.
Published: (2020)

Substantiation of the backpropagation technique via the Hamilton—Pontryagin formalism for training nonconvex nonsmooth neural networks
by: Norkin, V.I.
Published: (2019)

Substantiation of the backpropagation technique via the Hamilton—Pontryagin formalism for training nonconvex nonsmooth neural networks
by: V. I. Norkin
Published: (2019)

Modern stochastic quasi-gradient optimization algorithms
by: V. I. Norkin, et al.
Published: (2024)

Singular integral equation equivalent in the space of smooth functions to an ordinary differential equation, method of successive approximations for the construction of its smooth solutions and its nonsmooth solutions
by: A. M. Samoilenko
Published: (2019)

On stochastic optimal control of the risk process in discrete time
by: B. V. Norkin
Published: (2014)

On the smoothness of a generalized solution of the first initial boundary-value problem for strongly parabolic systems in a cylinder with nonsmooth base with respect to time variable
by: Nguyen Manh Hung, et al.
Published: (2004)

Hedging of the European option with nonsmooth payment function
by: O. A. Glonti, et al.
Published: (2018)

About convergence conditions for the empirical mean method of stochastic programming
by: P. S. Knopov, et al.
Published: (2018)

An improved Levenberg–Marquardt method for nonsmooth equations with application to multi-stream heat exchangers
by: Moudden M. El, et al.
Published: (2022)

Modification of the family three-point iterative method for refinement of simple roots of monotonic nonsmooth function
by: G. A. Sheludko, et al.
Published: (2013)

Modification of the family three-point iterative method for refinement of simple roots of monotonic nonsmooth function
by: Шелудько, Г. А., et al.
Published: (2015)

Modification of the family three-point iterative method for refinement of simple roots of monotonic nonsmooth function
by: Шелудько, Г. А., et al.
Published: (2015)

On convergence of direct methods for continuous vector optimization
by: B. V. Norkin
Published: (2015)

Statistical approximation of multicriteria problems of stochastic programming
by: B. V. Norkin
Published: (2015)

Statistical approximation of multicriteria problems of stochastic programming
by: Norkin, B.V.
Published: (2015)

B&B method for discrete partial order and quasiorder optimizations
by: Norkin, V.I.
Published: (2019)

On the stochastic optimal control of a descriptor system
by: L. A. Vlasenko, et al.
Published: (2020)

B&B method for discrete partial order and quasiorder optimizations
by: V. I. Norkin
Published: (2019)

Extragalactic filament detection with a layer smoothing method
by: A. V. Tugay
Published: (2014)

Extragalactic filament detection with a layer smoothing method
by: Tugay, A.V.
Published: (2014)

Stochastic optimal control problem with delay
by: Agayeva, Ch.A.
Published: (2006)

Application of Stochastic Methods of Modelling in Forming of Strategy of Expenses Management in the Conditions of Global Crisis
by: M. I. Ivanova, et al.
Published: (2010)

A new projective exact penalty function for a general constrained optimization
by: Norkin, V.I.
Published: (2022)

A new projective exact penalty function for a general constrained optimization
by: V. I. Norkin
Published: (2022)

Generalized gradients in dynamic optimization, optimal control, and machine learning problems
by: V. I. Norkin
Published: (2020)

Study of stochastic gradient methods for optimization of algorithms of learning artificial neural networks
by: T. A. Samoljuk
Published: (2017)

A stochastic interpretation of the parametrix method
by: A. Kohatsu-Higa
Published: (2023)

The Method of Adaptive Smoothing of Electrochemical Signals in Chronopotentiometry
by: I. V. Surovtsev
Published: (2015)

Modeling of deterministic and stochastic combinatorial optimization problems
by: O. O. Yemets, et al.
Published: (2016)

Research of the multistage stochastic portfolio optimization problems
by: O. A. Galkina
Published: (2016)

On optimal control of a stochastic equation with a fractional Wiener pro-cess
by: P. S. Knopov, et al.
Published: (2021)

Stochastic approach to determination of the distributed generation optimal placement
by: O. V. Kyrylenko, et al.
Published: (2017)

Optimization models of anti-terrorist protection
by: V. I. Norkin
Published: (2018)

On the Approximation of Vector Optimization Problems
by: B. V. Norkin
Published: (2015)

On the Approximation of Vector Optimization Problems
by: Norkin, B.V.
Published: (2015)

Optimal nonlinear filtering of stochastic processes in rescue radar
by: O. V. Sytnik
Published: (2021)