Mathematical modeling and simulation: introduction for scientists and engineers
"Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering Reviews of the first edition (2009): ""Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place....
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Weibheim, Germany
Wiley-VCH
[2024]
|
| Edition: | Second edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9783527414147/?ar |
| Summary: | "Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering Reviews of the first edition (2009): ""Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]"" Zentralblatt MATH, European Mathematical Society, 2009 ""This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous."" SIAM Society of Industrial and Applied Mathematics, USA, 2011 This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? What kind of mathematical problems appear and how can these be efficiently solved using professional free of charge open source software? The book addresses undergraduates and practitioners alike. Although only basic knowledge of calculus and linear algebra is required, the most important mathematical structures are discussed in sufficient detail, ranging from statistical models to partial differential equations and accompanied by examples from biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. About 200 pages of additional material include a unique chapter on virtualization, Crash Courses on the data analysis and programming languages R and Python and on the computer algebra language Maxima, many new methods and examples scattered throughout the book, an update of all software-related procedures, and a comprehensive book software providing templates for typical modeling tasks in thousands of code lines. The book software includes GmLinux, an operating system specifically designed for this book providing preconfigured and ready-to-use installations of OpenFOAM, Salome, FreeCAD/CfdOF workbench, ParaView, R, Maxima/wxMaxima, Python, Rstudio, Quarto/Markdown and other free of charge open source software used in the book.". |
| Item Description: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on July 29, 2024) |
| Physical Description: | 1 Online-Ressource Illustrationen. |
| ISBN: | 9783527849604 3527849602 9783527839391 3527839399 9783527414147 |
Staff View
MARC
| LEADER | 00000nam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-112912214 | ||
| 003 | DE-627-1 | ||
| 005 | 20250306143524.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250306s2024 xx |||||o 00| ||eng c | ||
| 020 | |a 9783527849604 |c electronic book |9 978-3-527-84960-4 | ||
| 020 | |a 3527849602 |c electronic book |9 3-527-84960-2 | ||
| 020 | |a 9783527839391 |c electronic book |9 978-3-527-83939-1 | ||
| 020 | |a 3527839399 |c electronic book |9 3-527-83939-9 | ||
| 020 | |a 9783527414147 |9 978-3-527-41414-7 | ||
| 035 | |a (DE-627-1)112912214 | ||
| 035 | |a (DE-599)KEP112912214 | ||
| 035 | |a (ORHE)9783527414147 | ||
| 035 | |a (DE-627-1)112912214 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 511.8 |2 23/eng/20240729 | |
| 100 | 1 | |a Velten, Kai |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Mathematical modeling and simulation |b introduction for scientists and engineers |c Kai Velten, Dominik M. Schmidt, Katrin Kahlen |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Weibheim, Germany |b Wiley-VCH |c [2024] | |
| 300 | |a 1 Online-Ressource |b Illustrationen. | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on July 29, 2024) | ||
| 520 | |a "Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering Reviews of the first edition (2009): ""Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]"" Zentralblatt MATH, European Mathematical Society, 2009 ""This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous."" SIAM Society of Industrial and Applied Mathematics, USA, 2011 This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? What kind of mathematical problems appear and how can these be efficiently solved using professional free of charge open source software? The book addresses undergraduates and practitioners alike. Although only basic knowledge of calculus and linear algebra is required, the most important mathematical structures are discussed in sufficient detail, ranging from statistical models to partial differential equations and accompanied by examples from biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. About 200 pages of additional material include a unique chapter on virtualization, Crash Courses on the data analysis and programming languages R and Python and on the computer algebra language Maxima, many new methods and examples scattered throughout the book, an update of all software-related procedures, and a comprehensive book software providing templates for typical modeling tasks in thousands of code lines. The book software includes GmLinux, an operating system specifically designed for this book providing preconfigured and ready-to-use installations of OpenFOAM, Salome, FreeCAD/CfdOF workbench, ParaView, R, Maxima/wxMaxima, Python, Rstudio, Quarto/Markdown and other free of charge open source software used in the book.". | ||
| 650 | 0 | |a Mathematical models | |
| 700 | 1 | |a Schmidt, Dominik M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kahlen, Katrin |e VerfasserIn |4 aut | |
| 776 | 1 | |z 3527414142 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 3527414142 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9783527414147/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-112912214 |
|---|---|
| _version_ | 1831287136968507392 |
| adam_text | |
| any_adam_object | |
| author | Velten, Kai Schmidt, Dominik M. Kahlen, Katrin |
| author_facet | Velten, Kai Schmidt, Dominik M. Kahlen, Katrin |
| author_role | aut aut aut |
| author_sort | Velten, Kai |
| author_variant | k v kv d m s dm dms k k kk |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)112912214 (DE-599)KEP112912214 (ORHE)9783527414147 |
| dewey-full | 511.8 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511.8 |
| dewey-search | 511.8 |
| dewey-sort | 3511.8 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | Second edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03981nam a22004452c 4500</leader><controlfield tag="001">ZDB-30-ORH-112912214</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20250306143524.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">250306s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783527849604</subfield><subfield code="c">electronic book</subfield><subfield code="9">978-3-527-84960-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3527849602</subfield><subfield code="c">electronic book</subfield><subfield code="9">3-527-84960-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783527839391</subfield><subfield code="c">electronic book</subfield><subfield code="9">978-3-527-83939-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3527839399</subfield><subfield code="c">electronic book</subfield><subfield code="9">3-527-83939-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783527414147</subfield><subfield code="9">978-3-527-41414-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)112912214</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP112912214</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9783527414147</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)112912214</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">511.8</subfield><subfield code="2">23/eng/20240729</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Velten, Kai</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mathematical modeling and simulation</subfield><subfield code="b">introduction for scientists and engineers</subfield><subfield code="c">Kai Velten, Dominik M. Schmidt, Katrin Kahlen</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Weibheim, Germany</subfield><subfield code="b">Wiley-VCH</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield><subfield code="b">Illustrationen.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on July 29, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering Reviews of the first edition (2009): ""Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]"" Zentralblatt MATH, European Mathematical Society, 2009 ""This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous."" SIAM Society of Industrial and Applied Mathematics, USA, 2011 This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? What kind of mathematical problems appear and how can these be efficiently solved using professional free of charge open source software? The book addresses undergraduates and practitioners alike. Although only basic knowledge of calculus and linear algebra is required, the most important mathematical structures are discussed in sufficient detail, ranging from statistical models to partial differential equations and accompanied by examples from biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. About 200 pages of additional material include a unique chapter on virtualization, Crash Courses on the data analysis and programming languages R and Python and on the computer algebra language Maxima, many new methods and examples scattered throughout the book, an update of all software-related procedures, and a comprehensive book software providing templates for typical modeling tasks in thousands of code lines. The book software includes GmLinux, an operating system specifically designed for this book providing preconfigured and ready-to-use installations of OpenFOAM, Salome, FreeCAD/CfdOF workbench, ParaView, R, Maxima/wxMaxima, Python, Rstudio, Quarto/Markdown and other free of charge open source software used in the book.".</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mathematical models</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schmidt, Dominik M.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kahlen, Katrin</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">3527414142</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">3527414142</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9783527414147/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-112912214 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:25:08Z |
| institution | BVB |
| isbn | 9783527849604 3527849602 9783527839391 3527839399 9783527414147 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource Illustrationen. |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Wiley-VCH |
| record_format | marc |
| spelling | Velten, Kai VerfasserIn aut Mathematical modeling and simulation introduction for scientists and engineers Kai Velten, Dominik M. Schmidt, Katrin Kahlen Second edition. Weibheim, Germany Wiley-VCH [2024] 1 Online-Ressource Illustrationen. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on July 29, 2024) "Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering Reviews of the first edition (2009): ""Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]"" Zentralblatt MATH, European Mathematical Society, 2009 ""This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous."" SIAM Society of Industrial and Applied Mathematics, USA, 2011 This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? What kind of mathematical problems appear and how can these be efficiently solved using professional free of charge open source software? The book addresses undergraduates and practitioners alike. Although only basic knowledge of calculus and linear algebra is required, the most important mathematical structures are discussed in sufficient detail, ranging from statistical models to partial differential equations and accompanied by examples from biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. About 200 pages of additional material include a unique chapter on virtualization, Crash Courses on the data analysis and programming languages R and Python and on the computer algebra language Maxima, many new methods and examples scattered throughout the book, an update of all software-related procedures, and a comprehensive book software providing templates for typical modeling tasks in thousands of code lines. The book software includes GmLinux, an operating system specifically designed for this book providing preconfigured and ready-to-use installations of OpenFOAM, Salome, FreeCAD/CfdOF workbench, ParaView, R, Maxima/wxMaxima, Python, Rstudio, Quarto/Markdown and other free of charge open source software used in the book.". Mathematical models Schmidt, Dominik M. VerfasserIn aut Kahlen, Katrin VerfasserIn aut 3527414142 Erscheint auch als Druck-Ausgabe 3527414142 |
| spellingShingle | Velten, Kai Schmidt, Dominik M. Kahlen, Katrin Mathematical modeling and simulation introduction for scientists and engineers Mathematical models |
| title | Mathematical modeling and simulation introduction for scientists and engineers |
| title_auth | Mathematical modeling and simulation introduction for scientists and engineers |
| title_exact_search | Mathematical modeling and simulation introduction for scientists and engineers |
| title_full | Mathematical modeling and simulation introduction for scientists and engineers Kai Velten, Dominik M. Schmidt, Katrin Kahlen |
| title_fullStr | Mathematical modeling and simulation introduction for scientists and engineers Kai Velten, Dominik M. Schmidt, Katrin Kahlen |
| title_full_unstemmed | Mathematical modeling and simulation introduction for scientists and engineers Kai Velten, Dominik M. Schmidt, Katrin Kahlen |
| title_short | Mathematical modeling and simulation |
| title_sort | mathematical modeling and simulation introduction for scientists and engineers |
| title_sub | introduction for scientists and engineers |
| topic | Mathematical models |
| topic_facet | Mathematical models |
| work_keys_str_mv | AT veltenkai mathematicalmodelingandsimulationintroductionforscientistsandengineers AT schmidtdominikm mathematicalmodelingandsimulationintroductionforscientistsandengineers AT kahlenkatrin mathematicalmodelingandsimulationintroductionforscientistsandengineers |