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Aggiungi al carrelloCondizione: New.
Condizione: New.
Lingua: Cinese
Editore: Science Press Pub. Date :2010-02, 2010
ISBN 10: 7030268431 ISBN 13: 9787030268433
Da: liu xing, Nanjing, JS, Cina
EUR 60,48
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Aggiungi al carrellopaperback. Condizione: New. Paperback. Pub Date: 2010 Pages: 289 Publisher: Science Press numerical optimization algorithms and theory (2nd edition) more systematic optimization of the more mature areas of basic theories and methods. The necessary and sufficient conditions for basic theory including optimization problem solution as well as the convergence of various algorithms theory. The introduced algorithm: unconstrained steepest descent method. Newton method. quasi-Newton method. conjugate gradient method. trust reg.
Da: Majestic Books, Hounslow, Regno Unito
EUR 174,96
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Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 172,51
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Special Issue 'Numerical Optimization and Algorithms (3rd Edition)', hosted by the MDPI journal Algorithms, provides a crucial forum for the latest advancements in computational mathematics. As science and engineering problems grow increasingly complex, this edition focuses on the urgent need for robust solvers capable of navigating high-dimensional and nonlinear landscapes. The scope of the Special Issue encompasses a broad range of scientific fields, including physics, data science, economics, and biology. It specifically addresses modern challenges like the 'curse of dimensionality,' uncertainty in modeling, and the integration of data science with traditional numerical methods. Key areas of interest include the following: Graph Theory and Algebra: Developing fundamental structures for modern computing; Linear and Nonlinear Programming: Refining optimization under complex constraints; Stochastic Modeling: Handling the inherent unpredictability in real-world data; Differential Equations: Advancing numerical solvers for mechanical and environmental systems. Led by Guest Editors Prof. Dr. Dunhui Xiao and Prof. Dr. Shuai Li, this collection highlights the shift from purely theoretical algorithms to scalable, practical solutions. By fostering multidisciplinary collaboration, the Special Issue aims to promote innovative techniques-from metaheuristics to AI-driven optimization-that empower researchers to solve high-stakes problems in global logistics, finance, and industrial automation more efficiently.
Da: preigu, Osnabrück, Germania
EUR 155,60
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Aggiungi al carrelloBuch. Condizione: Neu. Numerical Optimization and Algorithms | 2nd Edition | Buch | Englisch | 2026 | MDPI AG | EAN 9783725873586 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.