Convex optimization algorithms — Scriptorium Liberum

Convex Optimization Algorithms (for Algo

📁 Convex Optimization Algorithms (for Algorithmix)

✍ Dimitri P. Bertsekas 📂 Library 📅 2015 🏛 Athena Scientific 🌐 English

This book, developed through class instruction at MIT over the last 15 years, provides an accessible, concise, and intuitive presentation of algorithms for solving convex optimization problems. It relies on rigorous mathematical analysis, but also aims at an intuitive exposition that makes use of vi

Convex Optimization Algorithms

📁 Convex Optimization Algorithms

✍ Dimitri P. Bertsekas 📂 Library 📅 2015 🏛 Athena Scientific 🌐 English

This book, developed through class instruction at MIT over the last 15 years, provides an accessible, concise, and intuitive presentation of algorithms for solving convex optimization problems. It relies on rigorous mathematical analysis, but also aims at an intuitive exposition that makes use of vi

Algorithms for Convex Optimization

📁 Algorithms for Convex Optimization

✍ Nisheeth K. Vishnoi 📂 Library 📅 2021 🏛 Cambridge University Press 🌐 English

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gra

The Projected Subgradient Algorithm in C

📁 The Projected Subgradient Algorithm in Convex Optimization

✍ Alexander J. Zaslavski 📂 Library 📅 2020 🏛 Springer International Publishing;Springer 🌐 English

<p><p></p>This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space. The book is of interest for experts in applications of optimization to engineering and economics. The goal is to obtain a good approximate solution of the problem in

An Introduction to Convexity, Optimizati

📁 An Introduction to Convexity, Optimization, and Algorithms

✍ Heinz H. Bauschke; Walaa M. Moursi 📂 Library 📅 2024 🏛 Society for Industrial and Applied Mathematics 🌐 English

"Provides a comprehensive and accessible exploration of modern topics in convex analysis and optimization algorithms, with an emphasis on bridging the two areas"--

Convex Optimization

📁 Convex Optimization

✍ Stephen Boyd, Lieven Vandenberghe 📂 Library 📅 2004 🏛 Cambridge University Press 🌐 English