Convex optimization has revolutionized the way problems are thought, posed, and solved in many different fields, from biology, medicine, finance to engineering. Convex optimization has provided a set of comprehensive tools to handle and answer a surprisingly large variety of useful and societally relevant questions. It has provided the theory to understand these questions in terms of a certain class of optimization problems, and computationall
The rapid growth in data availability has led to modern large scale convex optimization problems tha...
Objectives: To describe various classes of convex optimization and some of their applications and ex...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
[eng] One of the most importants problems has been tominimize functions. The history of optimization...
Thesis (Ph.D.)--University of Washington, 2017Convex optimization is more popular than ever, with ex...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theo...
Mathematical Programming deals with optimization programs of the form minimize f(x) subject to gi(x)...
This book presents state-of-the-art results and methodologies in modern global optimization, and has...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
Focuses on mathematical structure, and on real-world applications. This book includes developments i...
The primary aim of this book is to present notions of convex analysis which constitute the basic und...
In many practical applications, the objective function is convex. The use of convex objective functi...
The rapid growth in data availability has led to modern large scale convex optimization problems tha...
Objectives: To describe various classes of convex optimization and some of their applications and ex...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
[eng] One of the most importants problems has been tominimize functions. The history of optimization...
Thesis (Ph.D.)--University of Washington, 2017Convex optimization is more popular than ever, with ex...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theo...
Mathematical Programming deals with optimization programs of the form minimize f(x) subject to gi(x)...
This book presents state-of-the-art results and methodologies in modern global optimization, and has...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
Focuses on mathematical structure, and on real-world applications. This book includes developments i...
The primary aim of this book is to present notions of convex analysis which constitute the basic und...
In many practical applications, the objective function is convex. The use of convex objective functi...
The rapid growth in data availability has led to modern large scale convex optimization problems tha...
Objectives: To describe various classes of convex optimization and some of their applications and ex...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...