Worst-case Evaluation Complexity of Regularization Methods for Smooth Unconstrained Optimization Using Hölder Continuous Gradients

Worst-case Evaluation Complexity of Regularization Methods for Smooth Unconstrained Optimization Using Hölder Continuous Gradients
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : OCLC:1022198785
ISBN-13 :
Rating : 4/5 (85 Downloads)

Book Synopsis Worst-case Evaluation Complexity of Regularization Methods for Smooth Unconstrained Optimization Using Hölder Continuous Gradients by :

Download or read book Worst-case Evaluation Complexity of Regularization Methods for Smooth Unconstrained Optimization Using Hölder Continuous Gradients written by and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Worst-case Evaluation Complexity of Regularization Methods for Smooth Unconstrained Optimization Using Hölder Continuous Gradients Related Books

Worst-case Evaluation Complexity and Optimality of Second-order Methods for Nonconvex Smooth Optimization
Language: en
Pages:
Trust Region Methods
Language: en
Pages: 960
Authors: A. R. Conn
Categories: Mathematics
Type: BOOK - Published: 2000-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

Mathematics of Computing -- General.
The Complexity of Optimization Beyond Convexity
Language: en
Pages:
Authors: Yair Menachem Carmon
Categories:
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

Gradient descent variants are the workhorse of modern machine learning and large-scale optimization more broadly, where objective functions are often non-convex
Regularity Results for Nonlinear Elliptic Systems and Applications
Language: en
Pages: 450
Authors: Alain Bensoussan
Categories: Mathematics
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book collects many helpful techniques for obtaining regularity results for solutions of nonlinear systems of partial differential equations. These are appl