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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 di¿erential 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 sti¿ di¿erential 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.
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 di¿erential 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 sti¿ di¿erential 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.
Explains core numerical methods a physicist should know or be aware of
Shows how to control errors, stability, and convergence
Supports learning with comprehensive physics- and engineering-motivated examples and end-of-chapter problems
Is completed by numerous appendices with additional topics and hints on how to increase programming efficiency
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Astronomie |
Genre: | Physik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Reihe: | Graduate Texts in Physics |
Inhalt: |
xxiv
880 S. 248 s/w Illustr. 20 farbige Illustr. 880 p. 268 illus. 20 illus. in color. |
ISBN-13: | 9783319786186 |
ISBN-10: | 3319786180 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-78618-6 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Horvat, Martin
¿Irca, Simon |
Auflage: | 2nd ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Graduate Texts in Physics |
Maße: | 241 x 160 x 54 mm |
Von/Mit: | Martin Horvat (u. a.) |
Erscheinungsdatum: | 24.07.2018 |
Gewicht: | 1,502 kg |
Explains core numerical methods a physicist should know or be aware of
Shows how to control errors, stability, and convergence
Supports learning with comprehensive physics- and engineering-motivated examples and end-of-chapter problems
Is completed by numerous appendices with additional topics and hints on how to increase programming efficiency
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Astronomie |
Genre: | Physik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Reihe: | Graduate Texts in Physics |
Inhalt: |
xxiv
880 S. 248 s/w Illustr. 20 farbige Illustr. 880 p. 268 illus. 20 illus. in color. |
ISBN-13: | 9783319786186 |
ISBN-10: | 3319786180 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-78618-6 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Horvat, Martin
¿Irca, Simon |
Auflage: | 2nd ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Graduate Texts in Physics |
Maße: | 241 x 160 x 54 mm |
Von/Mit: | Martin Horvat (u. a.) |
Erscheinungsdatum: | 24.07.2018 |
Gewicht: | 1,502 kg |