Introduction to mathematical modeling
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TextPublication details: Boca Raton CRC Press, Taylor & Francis Group, 2017 Description: xi, 505 pages : illustration ; 27 cmISBN: 9781498728003Subject(s): Mathematical modelsDDC classification: 510.67 Online resources: Table of contents | Reviews Summary: Introduction to Mathematical Modeling helps students master the processes used by scientists and engineers to model real-world problems, including the challenges posed by space exploration, climate change, energy sustainability, chaotic dynamical systems and random processes.
Primarily intended for students with a working knowledge of calculus but minimal training in computer programming in a first course on modeling, the more advanced topics in the book are also useful for advanced undergraduate and graduate students seeking to get to grips with the analytical, numerical, and visual aspects of mathematical modeling, as well as the approximations and abstractions needed for the creation of a viable model.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Book
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NISER LIBRARY | 510.67 HUM-I (Browse shelf(Opens below)) | Available | 25334 |
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| 510.646 GUN-H Handbook of mathematical induction:theory and applications | 510.646 GUN-H Handbook of mathematical induction:theory and applications | 510.67 CHA-C Continuous model theory | 510.67 HUM-I Introduction to mathematical modeling | 510:685.85 GAR-O Origami, eleusis and the soma cube | 510:685.85 HIG-N Nets, puzzles, and postmen:an exploration of mathematical connections | 51(072) JOH-L Learning to teach Mathematics in the secondary school |
Includes bibliographical references and index.
Introduction to Mathematical Modeling helps students master the processes used by scientists and engineers to model real-world problems, including the challenges posed by space exploration, climate change, energy sustainability, chaotic dynamical systems and random processes.
Primarily intended for students with a working knowledge of calculus but minimal training in computer programming in a first course on modeling, the more advanced topics in the book are also useful for advanced undergraduate and graduate students seeking to get to grips with the analytical, numerical, and visual aspects of mathematical modeling, as well as the approximations and abstractions needed for the creation of a viable model.
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