Matrix, numerical, and dynamical systems methods in science and engineering:
Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate sol...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York, NY
Cambridge University Press
2021
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 FWS01 FWS02 URL des Erstveröffentlichers |
| Zusammenfassung: | Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 22 Feb 2021) Vector and matrix algebra -- Algebraic eigenproblems and their applications -- Differential eigenproblems and their applications -- Vector and matrix calculus -- Analysis of discrete dynamical systems -- Computational linear algebra -- Numerical methods for differential equations -- Finite-difference methods for boundary-value problems -- Finite-difference methods for initial-value problems -- Least-squares methods -- Data analysis : curve fitting and interpolation -- Optimization and root finding of algebraic systems -- Data-driven methods and reduced-order modeling |
| Beschreibung: | 1 Online-Ressource (xv, 710 Seiten) |
| ISBN: | 9781108782333 |
| DOI: | 10.1017/9781108782333 |
Internformat
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| 500 | |a Title from publisher's bibliographic system (viewed on 22 Feb 2021) | ||
| 500 | |a Vector and matrix algebra -- Algebraic eigenproblems and their applications -- Differential eigenproblems and their applications -- Vector and matrix calculus -- Analysis of discrete dynamical systems -- Computational linear algebra -- Numerical methods for differential equations -- Finite-difference methods for boundary-value problems -- Finite-difference methods for initial-value problems -- Least-squares methods -- Data analysis : curve fitting and interpolation -- Optimization and root finding of algebraic systems -- Data-driven methods and reduced-order modeling | ||
| 520 | |a Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics | ||
| 650 | 4 | |a Matrices | |
| 650 | 4 | |a Engineering mathematics | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Linear systems | |
| 650 | 4 | |a Numerical analysis | |
| 650 | 4 | |a Dynamics | |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 512 - Algebra |
| dewey-raw | 512.9/434 |
| dewey-search | 512.9/434 |
| dewey-sort | 3512.9 3434 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| doi_str_mv | 10.1017/9781108782333 |
| format | Electronic eBook |
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| id | DE-604.BV047238210 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:03:19Z |
| indexdate | 2024-08-01T16:15:10Z |
| institution | BVB |
| isbn | 9781108782333 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032642540 |
| oclc_num | 1249669329 |
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| owner_facet | DE-12 DE-92 DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 Online-Ressource (xv, 710 Seiten) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Cambridge University Press |
| record_format | marc |
| spellingShingle | Cassel, Kevin W. 1966- Matrix, numerical, and dynamical systems methods in science and engineering Matrices Engineering mathematics Mathematical optimization Linear systems Numerical analysis Dynamics |
| title | Matrix, numerical, and dynamical systems methods in science and engineering |
| title_auth | Matrix, numerical, and dynamical systems methods in science and engineering |
| title_exact_search | Matrix, numerical, and dynamical systems methods in science and engineering |
| title_exact_search_txtP | Matrix, numerical, and dynamical systems methods in science and engineering |
| title_full | Matrix, numerical, and dynamical systems methods in science and engineering Kevin W. Cassel |
| title_fullStr | Matrix, numerical, and dynamical systems methods in science and engineering Kevin W. Cassel |
| title_full_unstemmed | Matrix, numerical, and dynamical systems methods in science and engineering Kevin W. Cassel |
| title_short | Matrix, numerical, and dynamical systems methods in science and engineering |
| title_sort | matrix numerical and dynamical systems methods in science and engineering |
| topic | Matrices Engineering mathematics Mathematical optimization Linear systems Numerical analysis Dynamics |
| topic_facet | Matrices Engineering mathematics Mathematical optimization Linear systems Numerical analysis Dynamics |
| url | https://doi.org/10.1017/9781108782333 |
| work_keys_str_mv | AT casselkevinw matrixnumericalanddynamicalsystemsmethodsinscienceandengineering |