The Frank-Wolfe Algorithm: A Short Introduction

Author:

Pokutta Sebastian

Abstract

AbstractIn this paper we provide an introduction to the Frank-Wolfe algorithm, a method for smooth convex optimization in the presence of (relatively) complicated constraints. We will present the algorithm, introduce key concepts, and establish important baseline results, such as e.g., primal and dual convergence. We will also discuss some of its properties, present a new adaptive step-size strategy as well as applications.

Funder

Zuse-Institut Berlin

Publisher

Springer Fachmedien Wiesbaden GmbH

Subject

General Earth and Planetary Sciences,General Environmental Science

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