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Introduction to modeling and simulat...

Gordon, Steven I.

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Introduction to modeling and simulation with MATLAB and Python

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to modeling and simulation with MATLAB and Python/ Steven I. Gordon and Brian Guilfoos.
Author:	Gordon, Steven I.
other author:	Guilfoos, Brian.
Published:	Boca Raton :CRC Press/Taylor & Francis, : c2017.,
Description:	1 online resource :ill.
[NT 15003449]:	chapter 1 Introduction to Computational Modeling -- chapter 2 Introduction to Programming Environments -- chapter 3 Deterministic Linear Models -- chapter 4 Array Mathematics in MATLAB® and Python -- chapter 5 Plotting -- chapter 6 Problem Solving -- chapter 7 Conditional Statements -- chapter 8 Iteration and Loops -- chapter 9 Nonlinear and Dynamic Models -- chapter 10 Estimating Models from Empirical Data -- chapter 11 Stochastic Models -- chapter 12 Functions -- chapter 13 Verification, Validation, and Errors -- chapter 14 Capstone Projects.
Subject:	Computer simulation. -
Online resource:	https://www.taylorfrancis.com/books/9781315151748
ISBN:	9781315151748

Introduction to modeling and simulation with MATLAB and Python
Gordon, Steven I.

Introduction to modeling and simulation with MATLAB and Python[electronic resource] /Steven I. Gordon and Brian Guilfoos. - 1st ed. - Boca Raton :CRC Press/Taylor & Francis,c2017. - 1 online resource :ill. - Chapman & Hall/CRC computational science series. - Chapman & Hall/CRC computational science series..

Includes bibliographical references and index.

chapter 1 Introduction to Computational Modeling -- chapter 2 Introduction to Programming Environments -- chapter 3 Deterministic Linear Models -- chapter 4 Array Mathematics in MATLAB® and Python -- chapter 5 Plotting -- chapter 6 Problem Solving -- chapter 7 Conditional Statements -- chapter 8 Iteration and Loops -- chapter 9 Nonlinear and Dynamic Models -- chapter 10 Estimating Models from Empirical Data -- chapter 11 Stochastic Models -- chapter 12 Functions -- chapter 13 Verification, Validation, and Errors -- chapter 14 Capstone Projects.

"Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own.Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts--one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics.The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors."--Provided by publisher

ISBN: 9781315151748

Standard No.: 10.1201/9781315151748 doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

525602
Computer simulation.

LC Class. No.: QA76.9.C65 / G665 2017

Dewey Class. No.: 005.133

Introduction to modeling and simulation with MATLAB and Python
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020 $a 9781351633086 $q (e-book ; $q Mobi)
020 $z 9781498773874 $q (hardback)
020 $z 1498773877 $q (hardback)
024 7 $a 10.1201/9781315151748 $2 doi
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050 4 $a QA76.9.C65 $b G665 2017
082 0 4 $a 005.133 $2 23
100 1 $a Gordon, Steven I. $3 3621124
245 1 0 $a Introduction to modeling and simulation with MATLAB and Python $h [electronic resource] / $c Steven I. Gordon and Brian Guilfoos.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press/Taylor & Francis, $c c2017.
300 $a 1 online resource : $b ill.
490 1 $a Chapman & Hall/CRC computational science series
504 $a Includes bibliographical references and index.
505 0 $a chapter 1 Introduction to Computational Modeling -- chapter 2 Introduction to Programming Environments -- chapter 3 Deterministic Linear Models -- chapter 4 Array Mathematics in MATLAB® and Python -- chapter 5 Plotting -- chapter 6 Problem Solving -- chapter 7 Conditional Statements -- chapter 8 Iteration and Loops -- chapter 9 Nonlinear and Dynamic Models -- chapter 10 Estimating Models from Empirical Data -- chapter 11 Stochastic Models -- chapter 12 Functions -- chapter 13 Verification, Validation, and Errors -- chapter 14 Capstone Projects.
520 $a "Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own.Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts--one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics.The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors."--Provided by publisher
588 $a Description based on print version record.
630 0 0 $a MATLAB. $3 532595
650 0 $a Computer simulation. $3 525602
650 0 $a Python (Computer program language) $3 729789
650 0 $a Computer programming. $3 527209
650 0 $a Engineering mathematics $x Data processing. $3 524920
700 1 $a Guilfoos, Brian. $3 3621125
830 0 $a Chapman & Hall/CRC computational science series. $3 940976
856 4 0 $u https://www.taylorfrancis.com/books/9781315151748