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Matrix Numerical Optimization Methods by Cassel Kevin (15 results)
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press (edition 1), 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Hardcover. Condition: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.97.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Condition: As New. Unread book in perfect condition.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Condition: New.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
US$ 129.92
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Condition: New.
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Matrix, Numerical, and Optimization Methods in Science and Engineering (Hardcover)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Hardcover. Condition: 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.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 149.04
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 149.03
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 163.93
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Matrix, Numerical, and Optimization Methods in Science and Engineering (Hardcover)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
US$ 157.40
Convert currencyUS$ 50.04 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: 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.
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Matrix, Numerical, and Optimization Methods in Science and Engineering (Hardcover)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
US$ 192.56
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: 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.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press Mär 2021, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
US$ 223.02
Convert currencyUS$ 40.60 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - 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.
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Matrix, Numerical, and Optimization Methods in Science and Engineering
Published by Cambridge University Press, 2021
ISBN 10: 110847909X ISBN 13: 9781108479097
Language: English
US$ 154.99
Convert currencyUS$ 13.52 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 600 pages. 10.00x7.00x1.75 inches. In Stock. This item is printed on demand.
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US$ 158.77
Convert currencyUS$ 57.28 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
