國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

An introduction to computational science

Eichholz, Joseph.

An introduction to computational science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to computational scienceby Allen Holder, Joseph Eichholz.
作者:	Holder, Allen.
其他作者:	Eichholz, Joseph.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xvi, 470 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer science.
電子資源:	https://doi.org/10.1007/978-3-030-15679-4
ISBN:	9783030156794$q(electronic bk.)

An introduction to computational science
Holder, Allen.

An introduction to computational science[electronic resource] /by Allen Holder, Joseph Eichholz. - Cham :Springer International Publishing :2019. - xvi, 470 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2780884-8289 ;. - International series in operations research & management science ;v. 140..

Chapter 1. Solving Single Variable Equations -- Chapter 2. Solving Systems of Equations -- Chapter 3. Approximation -- Chapter 4. Optimization -- Chapter 5. Ordinary Diﬀerential Equations -- Chapter 6. Stochastic Methods & Simulation -- Chapter 7. Computing Considerations -- Chapter 8. Modeling with Matrices -- Chapter 9. Modeling with Ordinary Diﬀerential Equations -- Chapter 10. Modeling with Delayed Diﬀerential Equations -- Chapter 11. Partial Diﬀerential Equations -- Chapter 12. Modeling with Optimization and Simulation -- Chapter 13. Regression Modeling -- Appendix A.

This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.

ISBN: 9783030156794$q(electronic bk.)

Standard No.: 10.1007/978-3-030-15679-4doiSubjects--Topical Terms:

199325
Computer science.

LC Class. No.: QA76.6 / .H65 2019

Dewey Class. No.: 004

An introduction to computational science
LDR:03202nmm a2200349 a 4500 001 562662
003 DE-He213
005 20190618120949.0
006 m d
007 cr nn 008maaau
008 200227s2019 gw s 0 eng d
020 $a 9783030156794$q(electronic bk.)
020 $a 9783030156770$q(paper)
024 7 $a 10.1007/978-3-030-15679-4 $2 doi
035 $a 978-3-030-15679-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.6 $b .H65 2019
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 004 $2 23
090 $a QA76.6 $b .H727 2019
100 1 $a Holder, Allen. $3 847898
245 1 3 $a An introduction to computational science $h [electronic resource] / $c by Allen Holder, Joseph Eichholz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xvi, 470 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 0884-8289 ; $v v.278
505 0 $a Chapter 1. Solving Single Variable Equations -- Chapter 2. Solving Systems of Equations -- Chapter 3. Approximation -- Chapter 4. Optimization -- Chapter 5. Ordinary Diﬀerential Equations -- Chapter 6. Stochastic Methods & Simulation -- Chapter 7. Computing Considerations -- Chapter 8. Modeling with Matrices -- Chapter 9. Modeling with Ordinary Diﬀerential Equations -- Chapter 10. Modeling with Delayed Diﬀerential Equations -- Chapter 11. Partial Diﬀerential Equations -- Chapter 12. Modeling with Optimization and Simulation -- Chapter 13. Regression Modeling -- Appendix A.
520 $a This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.
650 0 $a Computer science. $3 199325
650 0 $a Computer simulation. $3 182122
650 0 $a Mathematical models. $3 182479
650 0 $a Computational complexity. $3 185313
650 1 4 $a Operations Research/Decision Theory. $3 273963
650 2 4 $a Operations Research, Management Science. $3 511451
650 2 4 $a Computational Science and Engineering. $3 274685
700 1 $a Eichholz, Joseph. $3 847899
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a International series in operations research & management science ; $v v. 140. $3 490892
856 4 0 $u https://doi.org/10.1007/978-3-030-15679-4
950 $a Business and Management (Springer-41169)