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Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering) - Tapa dura
Sinopsis
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink.
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Acerca del autor
Mark Holmes is a Professor at Rensselaer Polytechnic Institute. His current research interests include mechanoreception and sleep-wake cycles. Professor Holmes has three published books in Springer's Texts in Applied Mathematics series: Introduction to Perturbation Methods, Introduction to the Foundations of Applied Mathematics, and Introduction to Numerical Methods in Differential Equations.
De la contraportada
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink.
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering, 13)
Publicado por
Springer, 2016
ISBN 10: 331930254X
ISBN 13: 9783319302546
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Original o primera edición
Librería: GlobalGoods By Steve B, Jamaica, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Hardcover. Condición: Good. 1st Edition. Nº de ref. del artículo: ABE-1735261824693
Cantidad disponible: 1 disponibles
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering (13), Band 13)
Publicado por
Springer-Verlag Gmbh, 2016
ISBN 10: 331930254X
ISBN 13: 9783319302546
Antiguo o usado
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebundene Ausgabe. Condición: Sehr gut. Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink. Nº de ref. del artículo: INF1000548323
Cantidad disponible: 1 disponibles