Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
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Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Cambridge University Press (edition 1), 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Publicado por Cambridge University Press, Cambridge, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 133,03
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por Cambridge University Press, Cambridge, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 163,55
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, Cambridge, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 136,81
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 131,00
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Añadir al carritoHardcover. Condición: Brand New. 600 pages. 10.00x7.00x1.75 inches. In Stock. This item is printed on demand.
Librería: moluna, Greven, Alemania
EUR 131,84
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Añadir al carritoGebunden. Condición: 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.