• Genere: Libro
  • Lingua: Inglese
  • Editore: Springer
  • Pubblicazione: 08/2016
  • Edizione: Softcover reprint of the original 1st ed. 2010

Optimization—Theory and Practice

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54,98 €
52,23 €
AGGIUNGI AL CARRELLO
TRAMA
Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering. Constrained optimization models are one of the most widely used mathematical models in operations research and management science.This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications. The text is easy to read and accessible to anyone with a knowledge of multi-dimensional calculus, linear algebra and basic numerical methods. Detailed examples and counter-examples are provided - as are exercises, solutions and helpful hints, and Matlab/Maple supplements.The intended readership is advanced undergraduates, graduates, and professionals in any of the applied fields.

SOMMARIO
1. Introduction: Examples of Optimization Problems, Historical Overview.- 2. Optimality Conditions: Convex Sets, Inequalities, Local First- and Second-Order Optimality Conditions, Duality.- 3. Unconstrained Optimization Problems: Elementary Search and Localization Methods, Descent Methods with Line Search, Trust Region Methods, Conjugate Gradient Methods, Quasi-Newton Methods.- 4. Linearly Constrained Optimization Problems: Linear and Quadratic Optimization, Projection Methods.- 5. Nonlinearly Constrained Optimization Methods: Penalty Methods, SQP Methods.- 6. Interior-Point Methods for Linear Optimization: The Central Path, Newton's Method for the Primal-Dual System, Path-Following Algorithms, Predictor-Corrector Methods.- 7. Semidefinite Optimization: Selected Special Cases, The S-Procedure, The Function log°det, Path-Following Methods, How to Solve SDO Problems?, Icing on the Cake: Pattern Separation via Ellipsoids.- 8. Global Optimization: Branch and Bound Methods, Cutting Plane Methods.- Appendices: A Second Look at the Constraint Qualifications, The Fritz John Condition, Optimization Software Tools for Teaching and Learning.- Bibliography.- Index of Symbols.- Subject Index.

AUTORE
Dr. Wilhelm Forst is a professor in the Department of Numerical Analysis at the University of Ulm, Germany.Dr. Dieter Hoffmann is a professor at the University of Konstanz, Germany.Drs. Forst and Hoffman previously co-authored two German language books for Springer-Verlag: Funktionentheorie explore with Maple (2002) and Ordinary Differential Equations (2005).

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9781493939336
  • Collana: Springer Undergraduate Texts in Mathematics and Technology
  • Dimensioni: 254 x 178 mm
  • Formato: Brossura
  • Illustration Notes: XVIII, 402 p.
  • Pagine Arabe: 402
  • Pagine Romane: xviii