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Computational physics : problem solving with python / Rubin H. Landau, Manuel J. Paez and Cristian C. Bordeianu.

By: Landau, Rubin H [authro].
Contributor(s): Paez, Manuel J [author] | Bordeianu, Cristian C [author].
Publisher: Weinheim, Germany : Wiley-VCH, ©2015Edition: 3rd ed.Description: xxii, 622 p. : illustrations ; 25 cm.ISBN: 9783527413157.Subject(s): Physics -- Computer simulation | Mathematical physicsDDC classification: 530.0113
Contents:
1 Introduction -- 2 Computing Software Basics -- 3 Errors and Uncertainties in Computations -- 4 Monte Carlo: Randomness, Walks, and Decays -- 5 Differentiation and Integration -- 6 Matrix Computing -- 7 Trial-and-Error Searching and Data Fitting -- 8 Solving Differential Equations: Nonlinear Oscillations -- 9. ODE Applications: Eigenvalues, Scattering, and Projectiles -- 10 High-Performance Hardware and Parallel Computers -- 11 Applied HPC: Optimization, Tuning, and GPU Programming -- 12 Fourier Analysis: Signals and Filters -- 13 Wavelet and Principal Components Analyses: Nonstationary Signals and Data Compression -- 14 Nonlinear Population Dynamics -- 15 Continuous Nonlinear Dynamics -- 16 Fractals and Statistical Growth Models -- 17 Thermodynamic Simulations and Feynman Path Integrals -- 18 Molecular Dynamics Simulations -- 19 PDE Reviewand Electrostatics via Finite Differences and Electrostatics via Finite Differences -- 20 Heat Flow via Time Stepping -- 21 Wave Equations I: Strings and Membranes -- 22 Wave Equations II: QuantumPackets and Electromagnetic -- 23 Electrostatics via Finite Elements -- 24 Shocks Waves and Solitons -- 25 Fluid Dynamics -- 26 Integral Equations of QuantumMechanics -- Appendix A Codes, Applets, and Animations -- Bibliography -- Index.
Summary: The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
530.0113 L253 (Browse shelf) Available 136952
Total holds: 0

Includes bibliographical references and index.

1 Introduction --
2 Computing Software Basics --
3 Errors and Uncertainties in Computations --
4 Monte Carlo: Randomness, Walks, and Decays --
5 Differentiation and Integration --
6 Matrix Computing --
7 Trial-and-Error Searching and Data Fitting --
8 Solving Differential Equations: Nonlinear Oscillations --
9. ODE Applications: Eigenvalues, Scattering, and Projectiles --
10 High-Performance Hardware and Parallel Computers --
11 Applied HPC: Optimization, Tuning, and GPU Programming --
12 Fourier Analysis: Signals and Filters --
13 Wavelet and Principal Components Analyses: Nonstationary Signals and Data Compression --
14 Nonlinear Population Dynamics --
15 Continuous Nonlinear Dynamics --
16 Fractals and Statistical Growth Models --
17 Thermodynamic Simulations and Feynman Path Integrals --
18 Molecular Dynamics Simulations --
19 PDE Reviewand Electrostatics via Finite Differences and Electrostatics via Finite Differences --
20 Heat Flow via Time Stepping --
21 Wave Equations I: Strings and Membranes --
22 Wave Equations II: QuantumPackets and Electromagnetic --
23 Electrostatics via Finite Elements --
24 Shocks Waves and Solitons --
25 Fluid Dynamics --
26 Integral Equations of QuantumMechanics --
Appendix A Codes, Applets, and Animations --
Bibliography --
Index.

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.

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