Edité par Cambridge University Press (edition 1), 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Ajouter au panierHardcover. Etat : Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
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Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : California Books, Miami, FL, Etats-Unis
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Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 127,08
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Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
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EUR 134,22
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Ajouter au panierHardcover. Etat : new. Hardcover. Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. Address vector and matrix methods necessary in numerical methods and optimization of linear systems with this practical, unified text. Perfect for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 115,10
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Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 163,76
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. Address vector and matrix methods necessary in numerical methods and optimization of linear systems with this practical, unified text. Perfect for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 138,34
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. Address vector and matrix methods necessary in numerical methods and optimization of linear systems with this practical, unified text. Perfect for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. 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 : 110847909X ISBN 13 : 9781108479097
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 132,17
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Ajouter au panierHardcover. Etat : Brand New. 600 pages. 10.00x7.00x1.75 inches. In Stock. This item is printed on demand.
Vendeur : moluna, Greven, Allemagne
EUR 131,84
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Address vector and matrix methods necessary in numerical methods and optimization of linear systems with this practical, unified text. Perfect for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathemati.