Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
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Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
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Edité par Cambridge University Press, 2021
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Edité par Cambridge University Press, 2021
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Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
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Edité par Cambridge University Press, 2021
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 1101.
Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
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Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
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Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
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Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
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Edité par Cambridge University Press, 2021
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Edité par Cambridge University Press, 2021
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Edité par Cambridge University Press, Cambridge, 2021
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Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB's optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 122,28
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Ajouter au panierHardcover. Etat : new. Hardcover. A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB's optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 155,21
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB (R) code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers.
Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 107,97
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Ajouter au panierHardcover. Etat : Brand New. 400 pages. 10.00x7.25x1.00 inches. In Stock.
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
EUR 129,99
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB's optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2021
ISBN 10 : 110849160X ISBN 13 : 9781108491600
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 125,26
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB (R) code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for.