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Classical Mechanics: A Computational Approach with Examples using
Python and Mathematica provides a unique, contemporary introduction
to classical mechanics, with a focus on computational methods. In
addition to providing clear and thorough coverage of key topics,
this textbook includes integrated instructions and treatments of
computation. Full of pedagogy, it contains both analytical and
computational example problems within the body of each chapter. The
example problems teach readers both analytical methods and how to
use computer algebra systems and computer programming to solve
problems in classical mechanics. End-of-chapter problems allow
students to hone their skills in problem solving with and without
the use of a computer. The methods presented in this book can then
be used by students when solving problems in other fields both
within and outside of physics. It is an ideal textbook for
undergraduate students in physics, mathematics, and engineering
studying classical mechanics. Features: Gives readers the "big
picture" of classical mechanics and the importance of computation
in the solution of problems in physics Numerous example problems
using both analytical and computational methods, as well as
explanations as to how and why specific techniques were used Online
resources containing specific example codes to help students learn
computational methods and write their own algorithms A solutions
manual is available via the Routledge Instructor Hub and extra code
is available via the Support Material tab
Classical Mechanics: A Computational Approach with Examples using
Python and Mathematica provides a unique, contemporary introduction
to classical mechanics, with a focus on computational methods. In
addition to providing clear and thorough coverage of key topics,
this textbook includes integrated instructions and treatments of
computation. Full of pedagogy, it contains both analytical and
computational example problems within the body of each chapter. The
example problems teach readers both analytical methods and how to
use computer algebra systems and computer programming to solve
problems in classical mechanics. End-of-chapter problems allow
students to hone their skills in problem solving with and without
the use of a computer. The methods presented in this book can then
be used by students when solving problems in other fields both
within and outside of physics. It is an ideal textbook for
undergraduate students in physics, mathematics, and engineering
studying classical mechanics. Features: Gives readers the "big
picture" of classical mechanics and the importance of computation
in the solution of problems in physics Numerous example problems
using both analytical and computational methods, as well as
explanations as to how and why specific techniques were used Online
resources containing specific example codes to help students learn
computational methods and write their own algorithms A solutions
manual is available via the Routledge Instructor Hub and extra code
is available via the Support Material tab
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