Providing an accessible introduction to a range of modern computational techniques, this book is perfect for anyone with only a limited knowledge of physics. It leads readers through a series of examples, problems, and practical-based tasks covering the basics to more complex ideas and techniques. The focus is placed on the dynamic area
of modern physics, helping readers understand the power and uses of computational physics.
Leads the reader from a basic introduction to more sophisticated techniques
Provides the skill-building exercises necessary to tackle more complex problems
Applies essential techniques to a wide range of key problems
of modern physics, helping readers understand the power and uses of computational physics.
Leads the reader from a basic introduction to more sophisticated techniques
Provides the skill-building exercises necessary to tackle more complex problems
Applies essential techniques to a wide range of key problems
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Preface.
Acknowledgments.
About the Author.
About the Book.
Introduction.
Numerical Solutions to Schrödinger's Equation.
Approximate Methods.
Matrix Methods.
Deterministic Simulations.
Stochastic Simulations.
Percolation Theory.
Evolutionary Methods.
Molecular Dynamics.
Appendix A: FORTRAN Implementation of the Shooting Method.
Appendix B: ² in Spherical Polar Coordinates.
Appendix C: A Comment on the Computer Sourcecodes.
Appendix D: Note for Tutors.
References.
Index.
Acknowledgments.
About the Author.
About the Book.
Introduction.
Numerical Solutions to Schrödinger's Equation.
Approximate Methods.
Matrix Methods.
Deterministic Simulations.
Stochastic Simulations.
Percolation Theory.
Evolutionary Methods.
Molecular Dynamics.
Appendix A: FORTRAN Implementation of the Shooting Method.
Appendix B: ² in Spherical Polar Coordinates.
Appendix C: A Comment on the Computer Sourcecodes.
Appendix D: Note for Tutors.
References.
Index.
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Paul Harrison The University of Leeds, UK.
Note: Product cover images may vary from those shown
