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Methods for Large Scale Nonlinear and Stochastic Optimization

Description:

The goal of this thesis is to develop practical algorithms with sound theoretical properties for three different subfields of nonlinear optimization: (i) Optimization Algorithms for Supervised Machine Learning; (ii) Derivative-Free Optimization; and (iii) Distributed Optimization. As such, the thesis is divided into three main chapters. The focus of Chapter 2...

Keyword:

Engineering Sciences and Applied Mathematics

Subject:

Engineering Sciences and Applied Mathematics

Creator:

Albert Solomon Berahas

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/22/2019

Date Modified:

02/22/2019

Date Created:

2018-01-01

Resource Type:

Dissertation