Advances in Computer-Assisted Design and Analysis of First-Order Optimization Methods and Related Problems

Advances in Computer-Assisted Design and Analysis of First-Order Optimization Methods and Related Problems

First-order methods are optimization algorithms that can be described and analyzed using the values and gradients of the functions to be minimized. These methods have become the main workhorses for modern large-scale optimization and machine learning due to their low iteration costs, minimal memory...

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Bibliographic Details
Main Author:	Das Gupta, Shuvomoy
Other Authors:	Freund, Robert M.
Format:	Thesis
Published:	Massachusetts Institute of Technology 2024
Online Access:	https://hdl.handle.net/1721.1/155495 https://orcid.org/0000-0001-9650-8746

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