Advances in Mathematical Modeling, Optimization and Optimal Control

Advances in Mathematical Modeling, Optimization and Optimal Control
Author :
Publisher : Springer
Total Pages : 205
Release :
ISBN-10 : 9783319307855
ISBN-13 : 3319307851
Rating : 4/5 (851 Downloads)

Book Synopsis Advances in Mathematical Modeling, Optimization and Optimal Control by : Jean-Baptiste Hiriart-Urruty

Download or read book Advances in Mathematical Modeling, Optimization and Optimal Control written by Jean-Baptiste Hiriart-Urruty and published by Springer. This book was released on 2016-05-19 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Kraków, Poland in 2013. Each chapter in this book exhibits a comprehensive look at new theoretical and/or application-oriented results in mathematical modeling, optimization, and optimal control. Students and researchers involved in image processing, partial differential inclusions, shape optimization, or optimal control theory and its applications to medical and rehabilitation technology, will find this book valuable. The first chapter by Martin Burger provides an overview of recent developments related to Bregman distances, which is an important tool in inverse problems and image processing. The chapter by Piotr Kalita studies the operator version of a first order in time partial differential inclusion and its time discretization. In the chapter by Günter Leugering, Jan Sokołowski and Antoni Żochowski, nonsmooth shape optimization problems for variational inequalities are considered. The next chapter, by Katja Mombaur is devoted to applications of optimal control and inverse optimal control in the field of medical and rehabilitation technology, in particular in human movement analysis, therapy and improvement by means of medical devices. The final chapter, by Nikolai Osmolovskii and Helmut Maurer provides a survey on no-gap second order optimality conditions in the calculus of variations and optimal control, and a discussion of their further development.


Advances in Mathematical Modeling, Optimization and Optimal Control Related Books

Advances in Mathematical Modeling, Optimization and Optimal Control
Language: en
Pages: 205
Authors: Jean-Baptiste Hiriart-Urruty
Categories: Mathematics
Type: BOOK - Published: 2016-05-19 - Publisher: Springer

GET EBOOK

This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Kraków, Poland
Mathematical Modelling and Optimization of Engineering Problems
Language: en
Pages: 204
Authors: J. A. Tenreiro Machado
Categories: Mathematics
Type: BOOK - Published: 2020-02-12 - Publisher: Springer Nature

GET EBOOK

This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex rea
An Introduction to Optimal Control Problems in Life Sciences and Economics
Language: en
Pages: 241
Authors: Sebastian Aniţa
Categories: Mathematics
Type: BOOK - Published: 2011-05-05 - Publisher: Springer Science & Business Media

GET EBOOK

Combining control theory and modeling, this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied scie
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Language: en
Pages: 333
Authors: Simone Göttlich
Categories: Technology & Engineering
Type: BOOK - Published: 2021-02-02 - Publisher: Springer Nature

GET EBOOK

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on i
Advanced Simulation-Based Methods for Optimal Stopping and Control
Language: en
Pages: 366
Authors: Denis Belomestny
Categories: Business & Economics
Type: BOOK - Published: 2018-01-31 - Publisher: Springer

GET EBOOK

This is an advanced guide to optimal stopping and control, focusing on advanced Monte Carlo simulation and its application to finance. Written for quantitative