Nicholas J. Higham · Mark R. Dennis · Paul Glendinning · Paul A. Martin · Fadil Santosa · Jared Tanner
Sep 2015 · Princeton University Press
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About this ebook
The must-have compendium on applied mathematics
This is the most authoritative and accessible single-volume reference book on applied mathematics. Featuring numerous entries by leading experts and organized thematically, it introduces readers to applied mathematics and its uses; explains key concepts; describes important equations, laws, and functions; looks at exciting areas of research; covers modeling and simulation; explores areas of application; and more.
Modeled on the popular Princeton Companion to Mathematics, this volume is an indispensable resource for undergraduate and graduate students, researchers, and practitioners in other disciplines seeking a user-friendly reference book on applied mathematics.
Features nearly 200 entries organized thematically and written by an international team of distinguished contributors
Presents the major ideas and branches of applied mathematics in a clear and accessible way
Explains important mathematical concepts, methods, equations, and applications
Introduces the language of applied mathematics and the goals of applied mathematical research
Gives a wide range of examples of mathematical modeling
Covers continuum mechanics, dynamical systems, numerical analysis, discrete and combinatorial mathematics, mathematical physics, and much more
Explores the connections between applied mathematics and other disciplines
Includes suggestions for further reading, cross-references, and a comprehensive index
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About the author
Nicholas J. Higham is the Richardson Professor of Applied Mathematics at The University of Manchester. Mark R. Dennis is professor of theoretical physics at the University of Bristol. Paul Glendinning is professor of applied mathematics at The University of Manchester. Paul A. Martin is professor of applied mathematics at the Colorado School of Mines. Fadil Santosa is professor of mathematics at the University of Minnesota. Jared Tanner is professor of the mathematics of information at the University of Oxford.
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