[PDF] Learning with Submodular Functions: A Convex Optimization





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Convex Optimization

This book is about convex optimization a special class of mathematical optimiza- tion problems



An Introduction to Optimization: Foundations and Fundamental

The number of algorithms for linear and nonlinear optimization problems—the two main topics covered in this book—are kept quite low; those that are discussed 



Numerical Optimization

15 Fundamentals of Algorithms for Nonlinear Constrained Optimization This is a book for people interested in solving optimization problems.



Global Optimization Algorithms - Theory and Application

The direct download link to the newest version of this book is http://www.it-weise.de/projects/book.pdf. The LATEX source code of this book including all 



A Course in Combinatorial Optimization

23 mars 2017 about network flows we refer to the books of Ford and Fulkerson ... For almost every combinatorial optimization problem one has been able.



Learning with Submodular Functions: A Convex Optimization

erence book on such approaches). Moreover the algorithms that we present are based on traditional convex optimization algorithms such.



Robust Optimization

7 janv. 2018 This book is devoted to Robust Optimization — a specific and relatively novel methodology for handling optimization problems with uncertain ...



Ant Colony Optimization

This book introduces the rapidly growing field of ant colony optimization. It gives a broad overview of many aspects of ACO ranging from a detailed description 



Course notes on Optimization for Machine Learning

30 mars 2021 This course covers basic theoretical properties of optimization problems (in particular convex analysis and first order differential calculus) ...



A Gentle Introduction to Optimization

However a course based on this book can serve as a header course for all optimization courses. As a result

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