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Computational problems for physics with guided solutions using python

By: Contributor(s): Material type: TextTextLanguage: English Series: Publication details: New York CRC Press 2022ISBN:
  • 9781138705418 (PB)
Subject(s):
Contents:
Computational basics for physics -- Data analytics for physics -- Classical and nonlinear dynamics -- Wave equations and fluid dynamics -- Electricity and magnetism -- Quantum mechanics -- Thermodynamics and statistical physics -- Biological models: population dynamics and plant growth -- Additional entry-level problems.
Summary: "Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem"--
Item type: BOOKS List(s) this item appears in: New Arrivals (06 June 2022) | New Arrivals (20 October 2022)
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Home library Call number Materials specified Status Date due Barcode
IMSc Library 530.145 LAN (Browse shelf(Opens below)) Checked out 22/05/2026 76478

Computational basics for physics -- Data analytics for physics -- Classical and nonlinear dynamics -- Wave equations and fluid dynamics -- Electricity and magnetism -- Quantum mechanics -- Thermodynamics and statistical physics -- Biological models: population dynamics and plant growth -- Additional entry-level problems.

"Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem"--

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The Institute of Mathematical Sciences, Chennai, India