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Computational physics : with worked out examples in Fortran® and Matlab®

By: Material type: TextLanguage: English Publication details: Boston : De Gruyter, 2023.Edition: 2nd edDescription: xi, 396p. : ill. ; 24 cmISBN:
  • 9783110782363
Subject(s): Other classification:
  • C:9S Q8;R3
Summary: The work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus, like the computation of planetary orbits or classical molecular dynamics. A large part of the textbook is dedicated to deterministic chaos normally encountered in systems with sufficiently many degrees of freedom. Partial differential equations are studied considering (nonlinear) field theories like quantum mechanics, thermodynamics or fluid mechanics. In the second edition, a new chapter gives a detailed survey on delay or memory systems with a direct application to epidemic and road traffic models.
Item type: Textual
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Textual Central Science Library Central Science Library C:9S Q8;R3 (Browse shelf(Opens below)) Available SL1655990

Includes index

The work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus, like the computation of planetary orbits or classical molecular dynamics. A large part of the textbook is dedicated to deterministic chaos normally encountered in systems with sufficiently many degrees of freedom.

Partial differential equations are studied considering (nonlinear) field theories like quantum mechanics, thermodynamics or fluid mechanics. In the second edition, a new chapter gives a detailed survey on delay or memory systems with a direct application to epidemic and road traffic models.

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