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Computational problems for physics : with guided solutions using python / Rubin H. Landau, Manuel Jos�e P�aez.

By: Contributor(s): Material type: TextTextSeries: Series in computational physicsPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2018]Copyright date: �2017Description: xix, 389 pages ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781138705418
  • 1138705411
  • 9781138705913
  • 1138705918
Subject(s): DDC classification:
  • 530.15 23 LAC
LOC classification:
  • QC20.82 .L37 2018
Contents:
Computational basics for physics -- Data analytics for physics -- Classical & nonlinear dynamics -- Wave equations & fluid dynamics -- Electricity & magnetism -- Quantum mechanics -- Thermodynamics & statistical physics -- Biological models: population dynamics & 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"-- Provided by publisher.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Central Library, SUST General Stacks 530.15 LAC (Browse shelf(Opens below)) 1 Available 0073473
Books Books Central Library, SUST General Stacks 530.15 LAC (Browse shelf(Opens below)) 2 Available 0074229

Computational basics for physics -- Data analytics for physics -- Classical & nonlinear dynamics -- Wave equations & fluid dynamics -- Electricity & magnetism -- Quantum mechanics -- Thermodynamics & statistical physics -- Biological models: population dynamics & 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"-- Provided by publisher.

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