Natural Complexity: A Modeling Handbook
This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational exploratio...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[2017]
|
| Schriftenreihe: | Primers in Complex Systems
5 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAB01 FCO01 FHA01 FKE01 FLA01 UPA01 Volltext |
| Zusammenfassung: | This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) |
| Beschreibung: | 1 online resource (376 pages) 62 color illus. 1 halftone. 28 line illus. 19 tables |
| ISBN: | 9781400885497 |
| DOI: | 10.1515/9781400885497 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV047667226 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220112s2017 |||| o||u| ||||||eng d | ||
| 020 | |a 9781400885497 |9 978-1-4008-8549-7 | ||
| 024 | 7 | |a 10.1515/9781400885497 |2 doi | |
| 035 | |a (ZDB-23-DGG)9781400885497 | ||
| 035 | |a (OCoLC)980848243 | ||
| 035 | |a (DE-599)BVBBV047667226 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-1043 |a DE-858 |a DE-Aug4 |a DE-859 |a DE-860 |a DE-739 | ||
| 082 | 0 | |a 501 |2 23 | |
| 100 | 1 | |a Charbonneau, Paul |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Natural Complexity |b A Modeling Handbook |c Paul Charbonneau |
| 264 | 1 | |a Princeton, NJ |b Princeton University Press |c [2017] | |
| 264 | 4 | |c © 2017 | |
| 300 | |a 1 online resource (376 pages) |b 62 color illus. 1 halftone. 28 line illus. 19 tables | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Primers in Complex Systems |v 5 | |
| 500 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) | ||
| 520 | |a This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises | ||
| 546 | |a In English | ||
| 650 | 7 | |a SCIENCE / Physics / Mathematical & Computational |2 bisacsh | |
| 650 | 4 | |a Biocomplexity | |
| 650 | 4 | |a Complexity (Philosophy) | |
| 650 | 4 | |a Computational complexity | |
| 650 | 4 | |a Physics |x Methodology | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781400885497 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-23-DGG | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033051946 | ||
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l FAW01 |p ZDB-23-DGG |q FAW_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l FAB01 |p ZDB-23-DGG |q FAB_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l FCO01 |p ZDB-23-DGG |q FCO_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l FHA01 |p ZDB-23-DGG |q FHA_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l FKE01 |p ZDB-23-DGG |q FKE_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l FLA01 |p ZDB-23-DGG |q FLA_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy |l UPA01 |p ZDB-23-DGG |q UPA_PDA_DGG |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804183143559725056 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Charbonneau, Paul |
| author_facet | Charbonneau, Paul |
| author_role | aut |
| author_sort | Charbonneau, Paul |
| author_variant | p c pc |
| building | Verbundindex |
| bvnumber | BV047667226 |
| collection | ZDB-23-DGG |
| ctrlnum | (ZDB-23-DGG)9781400885497 (OCoLC)980848243 (DE-599)BVBBV047667226 |
| dewey-full | 501 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 501 - Philosophy and theory |
| dewey-raw | 501 |
| dewey-search | 501 |
| dewey-sort | 3501 |
| dewey-tens | 500 - Natural sciences and mathematics |
| discipline | Allgemeine Naturwissenschaft |
| discipline_str_mv | Allgemeine Naturwissenschaft |
| doi_str_mv | 10.1515/9781400885497 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03739nmm a2200517zcb4500</leader><controlfield tag="001">BV047667226</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220112s2017 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781400885497</subfield><subfield code="9">978-1-4008-8549-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781400885497</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-23-DGG)9781400885497</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)980848243</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047667226</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-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-739</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">501</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Charbonneau, Paul</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Natural Complexity</subfield><subfield code="b">A Modeling Handbook</subfield><subfield code="c">Paul Charbonneau</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Princeton, NJ</subfield><subfield code="b">Princeton University Press</subfield><subfield code="c">[2017]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (376 pages)</subfield><subfield code="b">62 color illus. 1 halftone. 28 line illus. 19 tables</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Primers in Complex Systems</subfield><subfield code="v">5</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SCIENCE / Physics / Mathematical & Computational</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biocomplexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complexity (Philosophy)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Physics</subfield><subfield code="x">Methodology</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781400885497</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033051946</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAW_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAB_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">FCO01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FCO_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FHA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FKE_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FLA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781400885497?locatt=mode:legacy</subfield><subfield code="l">UPA01</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">UPA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047667226 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:54:16Z |
| indexdate | 2024-07-10T09:18:46Z |
| institution | BVB |
| isbn | 9781400885497 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033051946 |
| oclc_num | 980848243 |
| open_access_boolean | |
| owner | DE-1046 DE-1043 DE-858 DE-Aug4 DE-859 DE-860 DE-739 |
| owner_facet | DE-1046 DE-1043 DE-858 DE-Aug4 DE-859 DE-860 DE-739 |
| physical | 1 online resource (376 pages) 62 color illus. 1 halftone. 28 line illus. 19 tables |
| psigel | ZDB-23-DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FAB_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FHA_PDA_DGG ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DGG UPA_PDA_DGG |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Princeton University Press |
| record_format | marc |
| series2 | Primers in Complex Systems |
| spelling | Charbonneau, Paul Verfasser aut Natural Complexity A Modeling Handbook Paul Charbonneau Princeton, NJ Princeton University Press [2017] © 2017 1 online resource (376 pages) 62 color illus. 1 halftone. 28 line illus. 19 tables txt rdacontent c rdamedia cr rdacarrier Primers in Complex Systems 5 Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises In English SCIENCE / Physics / Mathematical & Computational bisacsh Biocomplexity Complexity (Philosophy) Computational complexity Physics Methodology https://doi.org/10.1515/9781400885497 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Charbonneau, Paul Natural Complexity A Modeling Handbook SCIENCE / Physics / Mathematical & Computational bisacsh Biocomplexity Complexity (Philosophy) Computational complexity Physics Methodology |
| title | Natural Complexity A Modeling Handbook |
| title_auth | Natural Complexity A Modeling Handbook |
| title_exact_search | Natural Complexity A Modeling Handbook |
| title_exact_search_txtP | Natural Complexity A Modeling Handbook |
| title_full | Natural Complexity A Modeling Handbook Paul Charbonneau |
| title_fullStr | Natural Complexity A Modeling Handbook Paul Charbonneau |
| title_full_unstemmed | Natural Complexity A Modeling Handbook Paul Charbonneau |
| title_short | Natural Complexity |
| title_sort | natural complexity a modeling handbook |
| title_sub | A Modeling Handbook |
| topic | SCIENCE / Physics / Mathematical & Computational bisacsh Biocomplexity Complexity (Philosophy) Computational complexity Physics Methodology |
| topic_facet | SCIENCE / Physics / Mathematical & Computational Biocomplexity Complexity (Philosophy) Computational complexity Physics Methodology |
| url | https://doi.org/10.1515/9781400885497 |
| work_keys_str_mv | AT charbonneaupaul naturalcomplexityamodelinghandbook |