Computational physics : simulation of classical and quantum systems / Philipp O.J. Scherer

By: Scherer, P. O. J. (Philipp O. J.) [author.]
Contributor(s): Ohio Library and Information Network
Material type: TextTextSeries: Graduate texts in physics: Publisher: Cham, Switzerland : Springer, 2017Edition: Third edition; Third editionDescription: 1 online resource (xxiv, 633 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9783319610887; 3319610880Subject(s): Mathematical physics | Physics -- Data processing | Physics | Numerical and Computational Physics, Simulation | Mathematical Applications in the Physical Sciences | Mathematical and Computational Engineering | Theoretical and Computational ChemistryGenre/Form: Electronic books. Additional physical formats: Printed edition:: No titleDDC classification: 530.15 LOC classification: QC20Online resources: Click here to access online | Click here to access online | SpringerLink Connect to resource (off-campus)
Contents:
I. Numerical Methods -- Error Analysis -- Interpolation -- Numerical Differentiation -- Numerical Integration -- Systems of Inhomogeneous Linear Equations -- Roots and Extremal Points -- Fourier Transformation -- Wavelets -- Random Numbers and Monte Carlo Methods -- Eigenvalue Problems -- Data Fitting -- Discretization of Differential Equations -- Equations of Motion -- II. Simulation of Classical and Quantum Systems -- Rotational Motion -- Molecular Mechanics -- Continuum Mechanics -- Thermodynamic Systems -- Random Walk and Brownian Motion -- Electrostatics -- Waves -- Diffusion -- Convection -- Nonlinear Systems -- Simple Quantum Systems -- Quantum Many -Body Systems
Summary: This textbook presents basic numerical methods and applies them to a large variety of physical models in multiple computer experiments. Classical algorithms and more recent methods are explained. Partial differential equations are treated generally comparing important methods, and equations of motion are solved by a large number of simple as well as more sophisticated methods. Several modern algorithms for quantum wavepacket motion are compared. The first part of the book discusses the basic numerical methods, while the second part simulates classical and quantum systems. Simple but non-trivial examples from a broad range of physical topics offer readers insights into the numerical treatment but also the simulated problems. Rotational motion is studied in detail, as are simple quantum systems. A two-level system in an external field demonstrates elementary principles from quantum optics and simulation of a quantum bit. Principles of molecular dynamics are shown. Modern bounda ry element methods are presented in addition to standard methods, and waves and diffusion processes are simulated comparing the stability and efficiency of different methods. A large number of computer experiments is provided, which can be tried out even by readers with no programming skills. Exercises in the applets complete the pedagogical treatment in the book. In the third edition Monte Carlo methods and random number generation have been updated taking recent developments into account. Krylov-space methods for eigenvalue problems are discussed in much more detail. The wavelet transformation method has been included as well as simple applications to continuum mechanics and convection-diffusion problems. Lastly, elementary quantum many-body problems demonstrate the application of variational and Monte-Carlo methods.
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e-Books e-Books Main Library -University of Zimbabwe
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Includes bibliographical references and index

I. Numerical Methods -- Error Analysis -- Interpolation -- Numerical Differentiation -- Numerical Integration -- Systems of Inhomogeneous Linear Equations -- Roots and Extremal Points -- Fourier Transformation -- Wavelets -- Random Numbers and Monte Carlo Methods -- Eigenvalue Problems -- Data Fitting -- Discretization of Differential Equations -- Equations of Motion -- II. Simulation of Classical and Quantum Systems -- Rotational Motion -- Molecular Mechanics -- Continuum Mechanics -- Thermodynamic Systems -- Random Walk and Brownian Motion -- Electrostatics -- Waves -- Diffusion -- Convection -- Nonlinear Systems -- Simple Quantum Systems -- Quantum Many -Body Systems

Available to OhioLINK libraries

This textbook presents basic numerical methods and applies them to a large variety of physical models in multiple computer experiments. Classical algorithms and more recent methods are explained. Partial differential equations are treated generally comparing important methods, and equations of motion are solved by a large number of simple as well as more sophisticated methods. Several modern algorithms for quantum wavepacket motion are compared. The first part of the book discusses the basic numerical methods, while the second part simulates classical and quantum systems. Simple but non-trivial examples from a broad range of physical topics offer readers insights into the numerical treatment but also the simulated problems. Rotational motion is studied in detail, as are simple quantum systems. A two-level system in an external field demonstrates elementary principles from quantum optics and simulation of a quantum bit. Principles of molecular dynamics are shown. Modern bounda ry element methods are presented in addition to standard methods, and waves and diffusion processes are simulated comparing the stability and efficiency of different methods. A large number of computer experiments is provided, which can be tried out even by readers with no programming skills. Exercises in the applets complete the pedagogical treatment in the book. In the third edition Monte Carlo methods and random number generation have been updated taking recent developments into account. Krylov-space methods for eigenvalue problems are discussed in much more detail. The wavelet transformation method has been included as well as simple applications to continuum mechanics and convection-diffusion problems. Lastly, elementary quantum many-body problems demonstrate the application of variational and Monte-Carlo methods.

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