Cargando…

Optimization-Theory and Practice

Optimization is an important field in its own right but also plays a central role in numerous applied sciences, including operations research, management science, economics, finance, and engineering. Optimization - Theory and Practice offers a modern and well-balanced presentation of various optimiz...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Forst, Wilhelm (Autor), Hoffmann, Dieter (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Springer Undergraduate Texts in Mathematics and Technology,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-387-78977-4
003 DE-He213
005 20220114192105.0
007 cr nn 008mamaa
008 100716s2010 xxu| s |||| 0|eng d
020 |a 9780387789774  |9 978-0-387-78977-4 
024 7 |a 10.1007/978-0-387-78977-4  |2 doi 
050 4 |a QA402.5-402.6 
072 7 |a PBU  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
072 7 |a PBU  |2 thema 
082 0 4 |a 519.6  |2 23 
100 1 |a Forst, Wilhelm.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Optimization-Theory and Practice  |h [electronic resource] /  |c by Wilhelm Forst, Dieter Hoffmann. 
250 |a 1st ed. 2010. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2010. 
300 |a XVIII, 402 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Undergraduate Texts in Mathematics and Technology,  |x 1867-5514 
505 0 |a 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. 
520 |a Optimization is an important field in its own right but also plays a central role in numerous applied sciences, including operations research, management science, economics, finance, and engineering. Optimization - Theory and Practice offers a modern and well-balanced presentation of various optimization techniques and their applications. The book's clear structure, sound theoretical basics complemented by insightful illustrations and instructive examples, makes it an ideal introductory textbook and provides the reader with a comprehensive foundation in one of the most fascinating and useful branches of mathematics. Notable features include: Detailed explanations of theoretic results accompanied by supporting algorithms and exercises, often supplemented by helpful hints or MATLAB®/MAPLE® code fragments; an overview of the MATLAB® Optimization Toolbox and demonstrations of its uses with selected examples; accessibility to readers with a knowledge of multi-dimensional calculus, linear algebra, and basic numerical methods. Written at an introductory level, this book is intended for advanced undergraduates and graduate students, but may also be used as a reference by academics and professionals in mathematics and the applied sciences. 
650 0 |a Mathematical optimization. 
650 0 |a Algebra. 
650 0 |a Computer programming. 
650 0 |a Computer science-Mathematics. 
650 0 |a Mathematics-Data processing. 
650 1 4 |a Optimization. 
650 2 4 |a Algebra. 
650 2 4 |a Programming Techniques. 
650 2 4 |a Symbolic and Algebraic Manipulation. 
650 2 4 |a Computational Mathematics and Numerical Analysis. 
650 2 4 |a Computational Science and Engineering. 
700 1 |a Hoffmann, Dieter.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9780387789767 
776 0 8 |i Printed edition:  |z 9780387570600 
776 0 8 |i Printed edition:  |z 9781493939336 
830 0 |a Springer Undergraduate Texts in Mathematics and Technology,  |x 1867-5514 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-0-387-78977-4  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)