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An introduction to computational science

Holder, Allen.

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An introduction to computational science

Record Type:	Electronic resources : Monograph/item
Title/Author:	An introduction to computational science/ by Allen Holder, Joseph Eichholz.
Author:	Holder, Allen.
other author:	Eichholz, Joseph.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xvi, 470 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computer science. -
Online resource:	https://doi.org/10.1007/978-3-030-15679-4
ISBN:	9783030156794

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.278..

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

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

523869
Computer science.

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

Dewey Class. No.: 004

An introduction to computational science
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100 1 $a Holder, Allen. $3 3411775
245 1 3 $a An introduction to computational science $h [electronic resource] / $c by Allen Holder, Joseph Eichholz.
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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.
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