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Computational methods in physics = compendium for students /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational methods in physics/ by Simon Širca, Martin Horvat.
其他題名:	compendium for students /
作者:	Širca, Simon.
其他作者:	Horvat, Martin.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxviii, 1029 p. :ill. (some col.), digital ;24 cm.
內容註:	Basics of Numerical Analysis -- Solving Non-linear Equations -- Numerical Integration and Differentiation -- Matrix Methods -- Transformations of Functions and Signals -- Statistical Analysis and Modeling of Data -- Modeling and Analysis of Time Series -- Initial-value Problems for ODE -- Boundary-value Problems for ODE -- Difference Methods for One-dimensional PDE -- Difference Methods for PDE in Two or more Dimensions -- Spectral Methods for ODE and PDE -- Inverse and Ill-posed Problems.
Contained By:	Springer Nature eBook
標題:	Mathematical physics. -
電子資源:	https://doi.org/10.1007/978-3-031-68566-8
ISBN:	9783031685668

Computational methods in physics = compendium for students /
Širca, Simon.

Computational methods in physicscompendium for students /[electronic resource] :by Simon Širca, Martin Horvat. - Third edition. - Cham :Springer Nature Switzerland :2025. - xxviii, 1029 p. :ill. (some col.), digital ;24 cm. - Graduate texts in physics,1868-4521. - Graduate texts in physics..

Basics of Numerical Analysis -- Solving Non-linear Equations -- Numerical Integration and Differentiation -- Matrix Methods -- Transformations of Functions and Signals -- Statistical Analysis and Modeling of Data -- Modeling and Analysis of Time Series -- Initial-value Problems for ODE -- Boundary-value Problems for ODE -- Difference Methods for One-dimensional PDE -- Difference Methods for PDE in Two or more Dimensions -- Spectral Methods for ODE and PDE -- Inverse and Ill-posed Problems.

This textbook provides a compendium of numerical methods to assist physics students and researchers in their daily work. It carefully considers error estimates, stability and convergence issues, the choice of optimal methods, and techniques to increase program execution speeds. The book supplies numerous examples throughout the chapters that are concluded by more comprehensive problems with a strong physics background. Instead of uncritically employing modern black-box tools, the readers are encouraged to develop a more ponderous and skeptical approach. This revised and expanded edition now includes a new chapter on numerical integration and stable differentiation, as well as fresh material on optimal filtering, integration of gravitational many-body problems, computation of Poincaré maps, regularization of orbits, singular Sturm-Liouville problems, techniques for time evolution and spatial treatment of (semi)infinite domains in spectral methods, and phase retrieval. It also brings updated discussions of algebraic problems involving sparse matrices and of high-resolution schemes for partial differential equations.

ISBN: 9783031685668

Standard No.: 10.1007/978-3-031-68566-8doiSubjects--Topical Terms:

516853
Mathematical physics.

LC Class. No.: QC20

Dewey Class. No.: 530.15

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520 $a This textbook provides a compendium of numerical methods to assist physics students and researchers in their daily work. It carefully considers error estimates, stability and convergence issues, the choice of optimal methods, and techniques to increase program execution speeds. The book supplies numerous examples throughout the chapters that are concluded by more comprehensive problems with a strong physics background. Instead of uncritically employing modern black-box tools, the readers are encouraged to develop a more ponderous and skeptical approach. This revised and expanded edition now includes a new chapter on numerical integration and stable differentiation, as well as fresh material on optimal filtering, integration of gravitational many-body problems, computation of Poincaré maps, regularization of orbits, singular Sturm-Liouville problems, techniques for time evolution and spatial treatment of (semi)infinite domains in spectral methods, and phase retrieval. It also brings updated discussions of algebraic problems involving sparse matrices and of high-resolution schemes for partial differential equations.
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