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Computational problems for physics : with guided solutions using python / Rubin H. Landau and Manuel José Páez.

By: Contributor(s): Material type: TextTextSeries: Series in computational physicsPublication details: Boca Raton : CRC Press, Taylor & Francis Group, [2018]Description: xix, 389 pages ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781138705418
Subject(s): DDC classification:
  • 530.15 L231C 23
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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Item type Current library Call number Status Date due Barcode
Books Library and Documentation Division PGRRL 530.15 L231C (Browse shelf(Opens below)) Available 111525

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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