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Multivariable Calculus with MATLAB (R)

With Applications to Geometry and Physics

Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 18th Dec 2017
Dimensions: w 151mm h 242mm d 24mm
Weight: 610g
ISBN-10: 3319650696
ISBN-13: 9783319650692
Barcode No: 9783319650692
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Synopsis
This comprehensive treatment of multivariable calculus focuses on the numerous tools that MATLAB (R) brings to the subject, as it presents introductions to geometry, mathematical physics, and kinematics. Covering simple calculations with MATLAB (R), relevant plots, integration, and optimization, the numerous problem sets encourage practice with newly learned skills that cultivate the reader's understanding of the material. Significant examples illustrate each topic, and fundamental physical applications such as Kepler's Law, electromagnetism, fluid flow, and energy estimation are brought to prominent position. Perfect for use as a supplement to any standard multivariable calculus text, a "mathematical methods in physics or engineering" class, for independent study, or even as the class text in an "honors" multivariable calculus course, this textbook will appeal to mathematics, engineering, and physical science students. MATLAB (R) is tightly integrated into every portion of this book, and its graphical capabilities are used to present vibrant pictures of curves and surfaces. Readers benefit from the deep connections made between mathematics and science while learning more about the intrinsic geometry of curves and surfaces. With serious yet elementary explanation of various numerical algorithms, this textbook enlivens the teaching of multivariable calculus and mathematical methods courses for scientists and engineers.

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"The book is addressed to students as well as to instructors of calculus. It helps to understand multivariable analysis utilysing visualization of such geometric structures like domains, curves and surfaces. It also develops the skill of students to use a powerful software for solving modern problems." (Ivan Podvigin, zbMATH 1400.26001, 2019)