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

By:

Landau, Rubin H [author.]

Contributor(s):

Páez Mejía, Manuel José [author.]

Material type: Text

TextSeries: 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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Holdings
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

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"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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