Computational Methods in Physics: Compendium for Students (Graduate Texts in Physics) - Softcover

Širca, Simon; Horvat, Martin

Softcover

ISBN 10: 3030087468 ISBN 13: 9783030087463

Publisher: Springer, 2018

Synopsis

This book is intended to help advanced undergraduate, graduate, and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays significant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics background, while less stress is given to the explanation of individual algorithms. The readers are encouraged to develop a certain amount of skepticism and scrutiny instead of blindly following readily available commercial tools.

 

The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the solution of matrix equations, and pseudospectra of matrices; it discusses the sparse Fourier, non-uniform Fourier and discrete wavelet transformations, the basics of non-linear regression and the Kolmogorov-Smirnov test; it demonstrates the key concepts in solving stiff differential equations and the asymptotics of Sturm-Liouville eigenvalues and eigenfunctions. Among other updates, it also presents the techniques of state-space reconstruction, methods to calculate the matrix exponential, generate random permutations and compute stable derivatives.

About this title

About the Author

Simon Širca was born on February 27, 1969, in Ljubljana, Slovenia. He is Professor

of Physics at the Faculty of Mathematics and Physics, University of Ljubljana, where

he has been teaching courses on Probability for Physicists, Computational Physics and

Model Analysis. He is head of the research group Structure of Hadronic Systems active

in the OOPS and BLAST Collaborations at MIT, Hall A Collaboration at Thomas Jef-

ferson National Accelerator Facility (USA) and the A1 Collaboration at MAMI in Mainz

(Germany). His main research field is the study of hadronic structure and dynamics by

scattering of electrons on light nuclei, exploiting polarized beams, polarized targets, and

recoil polarimetry. He is also involved in theoretical work on quark models of hadrons,

with a focus on electroweak processes.

Martin Horvat was born on April 25, 1977, in Maribor, Slovenia. He is Assistant Pro-

fessor at the Faculty of Mathematics and Physics, University of Ljubljana, where he has

led the Physical Laboratory Course and taught Basic Applied Mathematics and Physics

I and II. His research work is devoted to classical and quantum non-linear dynamics,

to transport properties in extended systems, to the quantum-classical correspondence, to

theoretical and applied aspects of quantum mechanics on the classical phase space, as well

as to statistical mechanics and its origin in dynamics. He is also involved in the research

of relativistic global navigation satellite systems and in modeling of astrophysical bodies,

mainly eclipsing binary stars and synthesis of their observables.

From the Back Cover

This book is intended to help advanced undergraduate, graduate, and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays significant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics background, while less stress is given to the explanation of individual algorithms. The readers are encouraged to develop a certain amount of skepticism and scrutiny instead of blindly following readily available commercial tools.

The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the solution of matrix equations, and pseudospectra of matrices; it discusses the sparse Fourier, non-uniform Fourier and discrete wavelet transformations, the basics of non-linear regression and the Kolmogorov-Smirnov test; it demonstrates the key concepts in solving stiff differential equations and the asymptotics of Sturm-Liouville eigenvalues and eigenfunctions. Among other updates, it also presents the techniques of state-space reconstruction, methods to calculate the matrix exponential, generate random permutations and compute stable derivatives.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3030087468
• ISBN 13: 9783030087463
• Binding: Paperback
• Edition number: 2
• Number of pages: 904