Central Library, Indian Institute of Technology Delhi
केंद्रीय पुस्तकालय, भारतीय प्रौद्योगिकी संस्थान दिल्ली

Introduction to the Tools of Scientific Computing [electronic resource] / by Einar Smith.

By: Smith, Einar [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Texts in Computational Science and Engineering ; 25Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XII, 344 p. 40 illus., 33 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030608088Subject(s): Mathematics-Data processing | Computer science-Mathematics | Computational Mathematics and Numerical Analysis | Mathematics of ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 518 LOC classification: QA71-90Online resources: Click here to access online
Contents:
Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.
In: Springer Nature eBookSummary: The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike widely used standard approaches, it does not focus on any particular language but aims to explain the key underlying concepts. In general, new concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming environments from C / C ++, Julia and MATLAB to Maple. This includes different approaches to distributed computing. The fact that different languages are studied and compared also makes the book useful for mathematicians and practitioners trying to decide which programming language to use for which purposes.
List(s) this item appears in: MATLAB
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Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike widely used standard approaches, it does not focus on any particular language but aims to explain the key underlying concepts. In general, new concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming environments from C / C ++, Julia and MATLAB to Maple. This includes different approaches to distributed computing. The fact that different languages are studied and compared also makes the book useful for mathematicians and practitioners trying to decide which programming language to use for which purposes.

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