What Every Engineer Should Know About Modeling and Simulation / Raymond J. Madachy.

Madachy, Raymond J.
Call Number
620.0011
Author
Madachy, Raymond J., author.
Title
What Every Engineer Should Know About Modeling and Simulation / Raymond J. Madachy.
Edition
First edition.
Physical Description
1 online resource (xviii, 152 pages) : illustrations.
Series
What Every Engineer Should Know
Contents
Chapter 1 Introduction / chapter 2 Modeling and Simulation Method / chapter 3 Types of Simulation / chapter 4 Randomness / chapter 5 Simulation Input Analysis / chapter 6 Simulation Runs and Output Analysis / chapter 7 Engineering Case Study Example /
Summary
"This practical book presents fundamental concepts and issues in computer modeling and simulation (M & S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M & S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results."--Provided by publisher.
Added Author
Houston, Dan X.
Subject
MATHEMATICS Applied.
TECHNOLOGY & ENGINEERING Mechanical.
Engineering models Mathematical models.
SIMULATION METHODS.
Multimedia
Total Ratings: 0
No records found to display.
 
 
 
03554cam a2200493Mi 4500
001
 
 
vtls001592615
003
 
 
VRT
005
 
 
20220808223200.0
006
 
 
m     o  d       
007
 
 
cr cn|||||||||
008
 
 
220808s2017    enka    o     000 0 eng d
020
$a 9781315152608 $q (e-book)
020
$a 1315152606
020
$a 9781498753128 $q (e-book ; $q PDF)
020
$a 1498753124
035
$a (OCoLC)1003972062 $z (OCoLC)1000392324
035
$a (OCoLC-P)1003972062
035
$a (FlBoTFG)9781498753128
039
9
$a 202208082232 $b santha $y 202206301326 $z santha
040
$a OCoLC-P $b eng $e rda $e pn $c OCoLC-P
050
4
$a TA177 $b .M333 2017
082
0
4
$a 620.0011
100
1
$a Madachy, Raymond J., $e author.
245
1
0
$a What Every Engineer Should Know About Modeling and Simulation / $c Raymond J. Madachy.
250
$a First edition.
264
1
$a London : $b Taylor and Francis, $c 2017.
300
$a 1 online resource (xviii, 152 pages) : $b illustrations.
336
$a text $b txt $2 rdacontent
337
$a computer $b c $2 rdamedia
338
$a online resource $b cr $2 rdacarrier
490
0
$a What Every Engineer Should Know
505
0
0
$t Chapter 1 Introduction / $r Raymond J. Madachy Daniel X. Houston -- $t chapter 2 Modeling and Simulation Method / $r Raymond J. Madachy Daniel X. Houston -- $t chapter 3 Types of Simulation / $r Raymond J. Madachy Daniel X. Houston -- $t chapter 4 Randomness / $r Raymond J. Madachy Daniel X. Houston -- $t chapter 5 Simulation Input Analysis / $r Raymond J. Madachy Daniel X. Houston -- $t chapter 6 Simulation Runs and Output Analysis / $r Raymond J. Madachy Daniel X. Houston -- $t chapter 7 Engineering Case Study Example / $r Raymond J. Madachy Daniel X. Houston.
520
2
$a "This practical book presents fundamental concepts and issues in computer modeling and simulation (M & S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M & S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results."--Provided by publisher.
588
$a OCLC-licensed vendor bibliographic record.
650
0
7
$a MATHEMATICS $x Applied. $2 bisacsh
650
0
7
$a TECHNOLOGY & ENGINEERING $x Mechanical. $2 bisacsh
650
0
$a Engineering models $x Mathematical models.
650
0
$a SIMULATION METHODS.
700
1
$a Houston, Dan X.
856
4
0
$3 Taylor & Francis $u https://www.taylorfrancis.com/books/9781498753128
856
4
0
$3 Taylor & Francis $u https://www.taylorfrancis.com/books/9781315152608 $z Click here to view.
856
4
2
$3 OCLC metadata license agreement $u http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
938
$a Taylor & Francis $b TAFR $n 9781315152608
999
$a VIRTUA               
No Reviews to Display
Summary
"This practical book presents fundamental concepts and issues in computer modeling and simulation (M & S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M & S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results."--Provided by publisher.
Contents
Chapter 1 Introduction / chapter 2 Modeling and Simulation Method / chapter 3 Types of Simulation / chapter 4 Randomness / chapter 5 Simulation Input Analysis / chapter 6 Simulation Runs and Output Analysis / chapter 7 Engineering Case Study Example /
Subject
MATHEMATICS Applied.
TECHNOLOGY & ENGINEERING Mechanical.
Engineering models Mathematical models.
SIMULATION METHODS.
Multimedia