Introduction to scientific computing and data analysis:
This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singu...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2023]
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Texts in computational science and engineering
Volume 13 |
| Schlagworte: | |
| Zusammenfassung: | This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra |
| Beschreibung: | Preface.- Preface to Second Edition.- Introduction to Scientific Computing.- Solving a Nonlinear Equation.- Matrix Equations.- Eigenvalue Problems.- Interpolation.- Numerical Integration.- Initial Value Problems.- Optimization: Regression.- Optimization: Descent Methods.- Data Analysis.- Taylor's Theorem.- Vector and Matrix Summary.- Answers.- References.- Index |
| Beschreibung: | xvi, 554 Seiten Illustrationen, Diagramme 1120 grams |
| ISBN: | 9783031224294 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV049100360 | ||
| 003 | DE-604 | ||
| 005 | 20230914 | ||
| 007 | t | ||
| 008 | 230814s2023 a||| |||| 00||| eng d | ||
| 020 | |a 9783031224294 |9 978-3-031-22429-4 | ||
| 024 | 3 | |a 9783031224294 | |
| 035 | |a (OCoLC)1401184987 | ||
| 035 | |a (DE-599)BVBBV049100360 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T | ||
| 100 | 1 | |a Holmes, Mark H. |e Verfasser |0 (DE-588)1107050499 |4 aut | |
| 245 | 1 | 0 | |a Introduction to scientific computing and data analysis |c Mark H. Holmes |
| 250 | |a Second edition | ||
| 264 | 1 | |a Cham, Switzerland |b Springer |c [2023] | |
| 300 | |a xvi, 554 Seiten |b Illustrationen, Diagramme |c 1120 grams | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Texts in computational science and engineering |v Volume 13 | |
| 500 | |a Preface.- Preface to Second Edition.- Introduction to Scientific Computing.- Solving a Nonlinear Equation.- Matrix Equations.- Eigenvalue Problems.- Interpolation.- Numerical Integration.- Initial Value Problems.- Optimization: Regression.- Optimization: Descent Methods.- Data Analysis.- Taylor's Theorem.- Vector and Matrix Summary.- Answers.- References.- Index | ||
| 520 | |a This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra | ||
| 650 | 4 | |a bicssc | |
| 650 | 4 | |a bicssc | |
| 650 | 4 | |a bisacsh | |
| 650 | 4 | |a bisacsh | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Mathematical analysis | |
| 650 | 4 | |a Mathematics—Data processing | |
| 653 | |a Hardcover, Softcover / Informatik, EDV/Allgemeines, Lexika | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-031-22430-0 |
| 780 | 0 | 0 | |i Vorangegangen ist |z 978-3-319-30254-6 |
| 830 | 0 | |a Texts in computational science and engineering |v Volume 13 |w (DE-604)BV016971315 |9 13 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034361903 | ||
Datensatz im Suchindex
| _version_ | 1804185444293804032 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Holmes, Mark H. |
| author_GND | (DE-588)1107050499 |
| author_facet | Holmes, Mark H. |
| author_role | aut |
| author_sort | Holmes, Mark H. |
| author_variant | m h h mh mhh |
| building | Verbundindex |
| bvnumber | BV049100360 |
| ctrlnum | (OCoLC)1401184987 (DE-599)BVBBV049100360 |
| edition | Second edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02709nam a2200445 cb4500</leader><controlfield tag="001">BV049100360</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230914 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">230814s2023 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031224294</subfield><subfield code="9">978-3-031-22429-4</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783031224294</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1401184987</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049100360</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Holmes, Mark H.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1107050499</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to scientific computing and data analysis</subfield><subfield code="c">Mark H. Holmes</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham, Switzerland</subfield><subfield code="b">Springer</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvi, 554 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield><subfield code="c">1120 grams</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Texts in computational science and engineering</subfield><subfield code="v">Volume 13</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Preface.- Preface to Second Edition.- Introduction to Scientific Computing.- Solving a Nonlinear Equation.- Matrix Equations.- Eigenvalue Problems.- Interpolation.- Numerical Integration.- Initial Value Problems.- Optimization: Regression.- Optimization: Descent Methods.- Data Analysis.- Taylor's Theorem.- Vector and Matrix Summary.- Answers.- References.- Index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical optimization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics—Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hardcover, Softcover / Informatik, EDV/Allgemeines, Lexika</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-031-22430-0</subfield></datafield><datafield tag="780" ind1="0" ind2="0"><subfield code="i">Vorangegangen ist</subfield><subfield code="z">978-3-319-30254-6</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Texts in computational science and engineering</subfield><subfield code="v">Volume 13</subfield><subfield code="w">(DE-604)BV016971315</subfield><subfield code="9">13</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034361903</subfield></datafield></record></collection> |
| id | DE-604.BV049100360 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:32:28Z |
| indexdate | 2024-07-10T09:55:20Z |
| institution | BVB |
| isbn | 9783031224294 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034361903 |
| oclc_num | 1401184987 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xvi, 554 Seiten Illustrationen, Diagramme 1120 grams |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| series | Texts in computational science and engineering |
| series2 | Texts in computational science and engineering |
| spelling | Holmes, Mark H. Verfasser (DE-588)1107050499 aut Introduction to scientific computing and data analysis Mark H. Holmes Second edition Cham, Switzerland Springer [2023] xvi, 554 Seiten Illustrationen, Diagramme 1120 grams txt rdacontent n rdamedia nc rdacarrier Texts in computational science and engineering Volume 13 Preface.- Preface to Second Edition.- Introduction to Scientific Computing.- Solving a Nonlinear Equation.- Matrix Equations.- Eigenvalue Problems.- Interpolation.- Numerical Integration.- Initial Value Problems.- Optimization: Regression.- Optimization: Descent Methods.- Data Analysis.- Taylor's Theorem.- Vector and Matrix Summary.- Answers.- References.- Index This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra bicssc bisacsh Mathematical optimization Mathematical analysis Mathematics—Data processing Hardcover, Softcover / Informatik, EDV/Allgemeines, Lexika Erscheint auch als Online-Ausgabe 978-3-031-22430-0 Vorangegangen ist 978-3-319-30254-6 Texts in computational science and engineering Volume 13 (DE-604)BV016971315 13 |
| spellingShingle | Holmes, Mark H. Introduction to scientific computing and data analysis Texts in computational science and engineering bicssc bisacsh Mathematical optimization Mathematical analysis Mathematics—Data processing |
| title | Introduction to scientific computing and data analysis |
| title_auth | Introduction to scientific computing and data analysis |
| title_exact_search | Introduction to scientific computing and data analysis |
| title_exact_search_txtP | Introduction to scientific computing and data analysis |
| title_full | Introduction to scientific computing and data analysis Mark H. Holmes |
| title_fullStr | Introduction to scientific computing and data analysis Mark H. Holmes |
| title_full_unstemmed | Introduction to scientific computing and data analysis Mark H. Holmes |
| title_short | Introduction to scientific computing and data analysis |
| title_sort | introduction to scientific computing and data analysis |
| topic | bicssc bisacsh Mathematical optimization Mathematical analysis Mathematics—Data processing |
| topic_facet | bicssc bisacsh Mathematical optimization Mathematical analysis Mathematics—Data processing |
| volume_link | (DE-604)BV016971315 |
| work_keys_str_mv | AT holmesmarkh introductiontoscientificcomputinganddataanalysis |