Titlebook: Computer Algebra Recipes for Classical Mechanics; Richard H. Enns,George C. McGuire Textbook 2003 Springer Science+Business Media New York

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Axillary

d rapidly solve and explore most problems they encounter in their classical mechanics studies. Using the powerful computer algebra system MAPLE (Release 8) - no prior knowledge of MAPLE is presumed - the relevant command structures are explained on a need-to-know basis as the recipes are developed.

GULLY

Systems Neuroscience and Rehabilitationns as well. The purpose of this text is to show how a CAS can be used to breathe new life into a venerable subject, classical mechanics, by introducing the reader to a 21st century approach to problem-solving and exploration. A CAS can perform a wide variety of mathematical operations, including

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Introductionns as well. The purpose of this text is to show how a CAS can be used to breathe new life into a venerable subject, classical mechanics, by introducing the reader to a 21st century approach to problem-solving and exploration. A CAS can perform a wide variety of mathematical operations, including

MOTTO

Vectors and Kinematicsvectors relevant to the chosen coordinate system as well as to perform such mathematical operations as the dot and cross products. Only Cartesian coordinates will be considered, other coordinate systems being explored in Chapter 3 along with the vector operators gradient, divergence, and curl.

安慰

Newtonian Dynamics Ionlinear ODEs of physical interest must be solved numerically. Fortunately, Maple is capable of not only generating analytic solutions (when they exist), but also has various built-in algorithms for numerically solving linear and nonlinear ODEs.

安慰

Textbook 2003 prior knowledge of MAPLE is presumed - the relevant command structures are explained on a need-to-know basis as the recipes are developed. This new problem-solving guide can serve in the classroom or for self-study, for reference, or as a text for an on-line course.

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muster

https://doi.org/10.1007/978-1-4471-7351-9onlinear ODEs of physical interest must be solved numerically. Fortunately, Maple is capable of not only generating analytic solutions (when they exist), but also has various built-in algorithms for numerically solving linear and nonlinear ODEs.