Can I read Lectures on Convex Optimization (Springer Optimization and Its Applications Book 137) on EtoBox?

Lectures on Convex Optimization (Springer Optimization and Its Applications Book 137) by Yurii Nesterov is a nonfiction available to read on EtoBox.

What is Lectures on Convex Optimization (Springer Optimization and Its Applications Book 137) about?

This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning. Written by a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization, naturally complementing the existing literature. It contains a unified and rigorous presentation of the acceleration techniques for minimization schemes of first- and second-order. It provides readers with a full treatment of the smoothing technique, which has tremendously extended the abilities of gradient-type methods. Several powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also discussed in detail. Researchers in theoretical optimization as well as professionals working on optimization problems will find this book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author's lectures, it can naturally serve as the basis for introductory and a

Who reads Lectures on Convex Optimization (Springer Optimization and Its Applications Book 137)?

Author

Yurii Nesterov

Publisher

Springer International Publishing : Imprint: Springer

Published

2018

Language

EN

ISBN

9783319915777

Category

nonfiction

Subjects

Mathematics, Computer Science, Programming

Updated

2026-03-24