Numerical Analysis and Optimization

NAO-III, Muscat, Oman, January 2014

  • Mehiddin Al-Baali
  • Lucio Grandinetti
  • Anton Purnama
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 134)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Pietro Belotti, Julio C. Góez, Imre Pólik, Ted K. Ralphs, Tamás Terlaky
    Pages 1-35
  3. Leonhard Frerick, Ekkehard W. Sachs, Lukas A. Zimmer
    Pages 77-94
  4. Nick I. M. Gould, Dominique Orban, Philippe L. Toint
    Pages 117-150
  5. M. Hintermüller, C. Löbhard, M. H. Tber
    Pages 151-190
  6. Lior Horesh, Andrew R. Conn, Eduardo A. Jimenez, Gijs M. van Essen
    Pages 191-221
  7. Nezam Mahdavi-Amiri, Effat Golpar-Raboky
    Pages 237-259
  8. Jakub Mareček, Peter Richtárik, Martin Takáč
    Pages 261-288
  9. Paolo Pisciella, Marida Bertocchi, Maria Teresa Vespucci
    Pages 289-317
  10. Back Matter
    Pages 339-344

About these proceedings

Introduction

Presenting the latest findings in the field of numerical analysis and optimization, this volume balances pure research with practical applications of the subject. Accompanied by detailed tables, figures, and examinations of useful software tools, this volume will equip the reader to perform detailed and layered analysis of complex datasets.

Many real-world complex problems can be formulated as optimization tasks. Such problems can be characterized as large scale, unconstrained, constrained, non-convex, non-differentiable, and discontinuous, and therefore require adequate computational methods, algorithms, and software tools. These same tools are often employed by researchers working in current IT hot topics such as big data, optimization and other complex numerical algorithms on the cloud, devising special techniques for supercomputing systems.

The list of topics covered include, but are not limited to: numerical analysis, numerical optimization, numerical linear algebra, numerical differential equations, optimal control, approximation theory, applied mathematics, algorithms and software developments, derivative free optimization methods and programming models. The volume also examines challenging applications to various types of computational optimization methods which usually occur in statistics, econometrics, finance, physics, medicine, biology, engineering and industrial sciences.

Keywords

Numerical analysis Numerical linear algebra Numerical optimization Ordinary differential equations Partial differential equations

Editors and affiliations

  • Mehiddin Al-Baali
    • 1
  • Lucio Grandinetti
    • 2
  • Anton Purnama
    • 3
  1. 1.Department of Mathematics College of ScienceSultan Qaboos UniversityMuscatOman
  2. 2.Faculty of EngineeringUniversity of CalabriaArcavacada di RendeItaly
  3. 3.Department Mathematics and Statistics College of ScienceSultan Qaboos UniversityMuscatOman

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17689-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-17688-8
  • Online ISBN 978-3-319-17689-5
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • About this book