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Thursday, July 23, 2020 | History

1 edition of Large-Scale Optimization with Applications found in the catalog.

Large-Scale Optimization with Applications

Part I: Optimization in Inverse Problems and Design

by Lorenz T. Biegler

  • 166 Want to read
  • 5 Currently reading

Published by Springer New York in New York, NY .
Written in English

    Subjects:
  • Mathematics,
  • Numerical analysis,
  • Mathematical optimization,
  • Operations research,
  • Systems theory

  • About the Edition

    Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT!!! Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from.

    Edition Notes

    Statementedited by Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, Fadil N. Santosa
    SeriesThe IMA Volumes in Mathematics and its Applications -- 92, IMA volumes in mathematics and its applications -- 92.
    ContributionsColeman, Thomas F., Conn, A. R. (Andrew R.), Santosa, Fadil N.
    Classifications
    LC ClassificationsQA315-316, QA402.3, QA402.5-QA402.6
    The Physical Object
    Format[electronic resource] :
    Pagination1 online resource (xv, 204 pages).
    Number of Pages204
    ID Numbers
    Open LibraryOL27068962M
    ISBN 101461273579, 1461219620
    ISBN 109781461273578, 9781461219620
    OCLC/WorldCa853259279

    While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the Cited by: Find many great new & used options and get the best deals for IMA Volumes in Mathematics and Its Applications: Large-Scale Optimization with Applications Pt. 1: Optimization in Inverse Problems and Design No. 93 (, Hardcover) at the best online prices at eBay! Free shipping for many products!

    Get this from a library! Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design. [Lorenz T Biegler; Thomas F Coleman; A R Conn; Fadil N Santosa] -- Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. In this thesis, we present several contributions of large scale optimization methods with the applications in data science and machine learning. In the first part, we present new computational methods and associated computational guarantees for solving convex optimization problems using first .

    Books. 1. A. Ben-Tal, A. Nemirovski, Lectures on Modern Convex Optimization - First order methods for nonsmooth convex large-scale optimization, II: Utilizing problem’s Computation of matrix norms with applications to Robust Optimization. 3. Book Description. Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines.


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Large-Scale Optimization with Applications by Lorenz T. Biegler Download PDF EPUB FB2

Large-Scale Optimization with Applications Discontinued Series Although this series no longer publishes new content, the published titles listed below may be still available on-line (e.

via the Springer Book Archives) and in print. Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design (The IMA Volumes in Mathematics and its Applications) in Mathematics and its Applications (92)) Softcover reprint of the original 1st ed.

EditionFormat: Paperback. Buy Large-Scale Optimization with Applications: Part III: Molecular Structure and Optimization (The IMA Volumes in Mathematics and its Applications) on.

This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is.

This IMA Volume in Mathematics and its Applications LARGE-SCALE OPTIMIZATION WITH APPLICATIONS, PART II: OPTIMAL DESIGN AND CONTROL is one of the three volumes based on the proceedings of the IMA three­ week Summer Program on "Large-Scale Optimization with Applications to Inverse Problems.

Many important molecular conformation problems, such as protein folding, are expressed as global minimization problems. It is the fact that local minimization is insufficient, that markedly differentiates this volume from the previous two.

Unfortunately, global minimization problems that result. About this book Introduction This IMA Volume in Mathematics and its Applications LARGE-SCALE OPTIMIZATION WITH APPLICATIONS, PART II: OPTIMAL DESIGN AND CONTROL is one of the three volumes based on the proceedings of the IMA three­ week Summer Program on "Large-Scale Optimization with Applications to Inverse Problems, Optimal Control and Design, and Molecular and.

Theory of large scale optimization is introduced in this book with accompanying case studies of real-world problems and applications.

The case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, and more. Large-Scale Optimization with Applications Part III: Molecular Structure and Optimization.

Editors Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 94) Log in to check access. Buy eBook. USD Instant download; Issues in Large-Scale Global Molecular Optimization. Jorge J. Moré, Zhijun Wu. Large scale optimization has seen a dramatic increase in activities in the past decade.

This has been a natural consequence of new algorithmic developments and of the increased power of computers. For example, decomposition ideas proposed by G. Dantzig and P. Wolfe in the 's, are now implement able in distributed process­ ing systems, and Format: Hardcover.

The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field.

The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. Introduction In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling.

Optimization in Large Scale Problems: Industry and Society Applications stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in.

ISBN FOREWORD This IMA Volume in Mathematics and its Applications LARGE-SCALE OPTIMIZATION WITH APPLICATIONS, PART I: OPTIMIZATION IN INVERSE PROBLEMS AND DESIGN is one of the three volumes based on the proceedings of the IMA three-week Summer Program on "Large-Scale Optimization with Applications to Inverse Problems, Optimal.

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

Large-Scale Optimization with Applications: Part II: Optimal With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging Author: Vladimir Tsurkov.

() Particle filtering methods for stochastic optimization with application to large-scale empirical risk minimization. Knowledge-Based Systems() A Bayesian perspective of statistical machine learning for big by:   Optimization in Large Scale Problems: Industry and Society Applications (1st ed.

) (Springer Optimization and Its Applications #) View larger image By: Panos M. Pardalos and Marzieh Khakifirooz and Mahdi Fathi. This IMA Volume in Mathematics and its Applications LARGE-SCALE OPTIMIZATION WITH APPLICATIONS, PART II: OPTIMAL DESIGN AND CONTROL is one of the three volumes based on the proceedings of the IMA three­ week Summer Program on "Large-Scale Optimization with Applications to Inverse Problems, Optimal Control and Design, and Molecular and Struc­ tural Optimization.".

The current work presents the use of sizing optimization for large scale industrial applications with multiphysics phenomena. Presented are some examples which include either structural-acoustic.

Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data Cited by: Large Scale Optimization in Supply Chains and Smart Manufacturing: Theory and Applications (1st ed.

) (Springer Optimization and Its Applications #) In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling.

The large scale optimization.• how existing NLP methods can be extended to exploit specific structures of large-scale optimization models. The book is intended for chemical engineers interested in using NLP algorithms for specific applications, experts in mathematical optimization who want to understand process engineering problems and develop better approaches to.