Practical Optimization : Algorithms and Engineering Applications
Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Eac...
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer US : Imprint: Springer
[20..].
Cham : Springer Nature |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Practical optimization, algorithms and engineering applications, Andreas Antoniou, Wu-Sheng Lu,..., New York, N.Y., Springer, 2007, 1 vol. (xvii-669 p.), 978-0-387-71106-5 |
| LEADER | 04101nam a22003137a 4500 | ||
|---|---|---|---|
| 001 | 939849 | ||
| 008 | 080505q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN123730619 | ||
| 020 | |a 9780387711072 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Antoniou, Andreas. | |
| 245 | 1 | 0 | |a Practical Optimization : |b Algorithms and Engineering Applications |c by Andreas Antoniou, Wu-Sheng Lu. |
| 260 | |a New York, NY : |b Springer US : |b Imprint: Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a The Optimization Problem Basic Principles General Properties of Algorithms One-Dimensional Optimization Basic Multidimensional Gradient Methods Conjugate-Direction Methods Quasi-Newton Methods Minimax Methods Applications of Unconstrained Optimization Fundamentals of Constrained Optimization Linear Programming Part I: The Simplex Method Linear Programming Part II: Interior-Point Methods Quadratic and Convex Programming Semidefinite and Second-Order Cone Programming General Nonlinear Optimization Problems Applications of Constrained Optimization | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field. Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago. Key Features: extensively class-tested provides a complete teaching package with MATLAB exercises and online solutions to end-of-chapter problems includes recent methods of emerging interest such as semidefinite programming and second-order cone programming presents a unified treatment of unconstrained and constrained optimization uses a practical treatment of optimization accessible to broad audience, from college students to scientists and industry professionals provides a thorough appendix with background theory so non-experts can understand how applications are solved from point of view of optimization | ||
| 700 | 1 | |a Lu, Wusheng. |4 aut | |
| 776 | 0 | |0 119144298 |t Practical optimization |o algorithms and engineering applications |f Andreas Antoniou, Wu-Sheng Lu,... |c New York, N.Y. |n Springer |d 2007 |p 1 vol. (xvii-669 p.) |z 978-0-387-71106-5 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-0-387-71107-2 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-TNF23Q61-K |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747878641 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-0-387-71107-2 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750891165 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/978-0-387-71107-2 |z Accès INSA CVL | |
| 997 | |0 939849 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||