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Performance bounds and suboptimal policies for multi-period ...(Paperback)
now publishers Inc
Published:
27/11/2013
Examines dynamic trading of a portfolio of assets in discrete periods over a finite time horizon, with arbitrary time-varying distribution of asset returns. This book aims to maximize the total expe...
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Dynamic network energy management via proximal message passi...(Paperback)
now publishers Inc
Published:
27/11/2013
Presents a fully decentralized method for dynamic network energy management based on message passing between devices. This title considers a network of devices, such as generators, fixed loads, defe...
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Proximal algorithms(Paperback)
now publishers Inc
Published:
27/11/2013
Discusses proximal operators and proximal algorithms, and illustrates their applicability to standard and distributed convex optimization in general and many applications of recent interest in parti...
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Chordal Graphs and Semidefinite Optimization(Paperback)
now publishers Inc
Published:
30/04/2015
Chordal Graphs and Semidefinite Optimization covers the theory and applications of chordal graphs, with an emphasis on algorithms developed in the literature on sparse Cholesky factorization.
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Low-Rank Semidefinite Programming(Paperback)
Theory and Applications
now publishers Inc
Published:
04/08/2016
This monograph reviews the theory of low-rank semidefinite programming, presenting theorems that guarantee the existence of a low-rank solution, heuristics for computing low-rank solutions, and algo...
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Introduction to Online Convex Optimization(Paperback)
now publishers Inc
Published:
30/08/2016
Introduction to Online Convex Optimization portrays optimization as a process. In many practical applications the environment is so complex that it is infeasible to lay out a comprehensive theoretic...
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Distributionally Robust Learning(Paperback / softback)
Published:
23/12/2020
This monograph provides insight into a technique that has gained a lot of recent interest in developing robust supervised learning solutions that are founded in sound mathematical principles. It wil...
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Algorithms for Verifying Deep Neural Networks(Paperback / softback)
Published:
11/02/2021
Algorithms for Verifying Deep Neural Networks serves as a tutorial for students and professionals interested in this emerging field as well as a benchmark to facilitate the design of new verificati...
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Acceleration Methods(Paperback / softback)
Published:
15/12/2021
This book is an introduction to Acceleration Methods used in convex optimization that enables the reader to quickly understand the important principles and apply the techniques to their own research...
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