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System modeling and simulationan introduction /
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
System modeling and simulation/ Frank L. Severance.
其他題名:
an introduction /
作者:
Severance, Frank L.
出版者:
Chichester ;J. Wiley,�001.
面頁冊數:
1 online resource (xi, 506 pages) :illustrations
標題:
System theory. -
電子資源:
Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:
0470848189 (electronic bk.)
ISBN:
9780470848180 (electronic bk.)
System modeling and simulationan introduction /
Severance, Frank L.
System modeling and simulation
an introduction /[electronic resource] :Frank L. Severance. - Chichester ;J. Wiley,�001. - 1 online resource (xi, 506 pages) :illustrations
Includes bibliographical references and index.
Describing Systems1
Use copy
Electronic reproduction.
[S.l.] :
HathiTrust Digital Library,
2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
ISBN: 0470848189 (electronic bk.)Subjects--Topical Terms:
147880
System theory.
Index Terms--Genre/Form:
172687
Electronic books.
LC Class. No.: Q295 / .S48 2001eb
Dewey Class. No.: 003/.3
System modeling and simulationan introduction /
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1
$t
Describing Systems
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1 --
$g
1.1
$t
Nature of Systems
$g
1 --
$g
1.2
$t
Event-Driven Models
$g
10 --
$g
1.3
$t
Characterizing Systems
$g
13 --
$g
1.4
$t
Simulation Diagrams
$g
15 --
$g
1.5
$t
Systems Approach
$g
24 --
$g
2
$t
Dynamical Systems
$g
32 --
$g
2.1
$t
Initial-Value Problems
$g
32 --
$t
Euler's Method
$g
34 --
$t
Taylor's Method
$g
38 --
$t
Runge-Kutta Methods
$g
40 --
$t
Adaptive Runge-Kutta Methods
$g
42 --
$g
2.2
$t
Higher-Order Systems
$g
44 --
$g
2.3
$t
Autonomous Dynamic Systems
$g
46 --
$g
2.4
$t
Multiple-Time-Based Systems
$g
57 --
$g
2.5
$t
Handling Empirical Data
$g
67 --
$g
3
$t
Stochastic Generators
$g
84 --
$g
3.1
$t
Uniformly Distributed Random Numbers
$g
84 --
$g
3.2
$t
Statistical Properties of U[0, 1] Generators
$g
88 --
$g
3.3
$t
Generation of Non-Uniform Random Variates
$g
92 --
$t
Formula Method
$g
92 --
$t
Rejection Method
$g
94 --
$t
Convolution Method
$g
98 --
$g
3.4
$t
Generation of Arbitrary Random Variates
$g
101 --
$g
3.5
$t
Random Processes
$g
107 --
$g
3.6
$t
Characterizing Random Processes
$g
110 --
$g
3.7
$t
Generating Random Processes
$g
118 --
$t
Episodic Random Processes
$g
119 --
$t
Telegraph Processes
$g
119 --
$t
Regular Random Processes
$g
123 --
$g
3.8
$t
Random Walks
$g
123 --
$g
3.9
$t
White Noise
$g
127 --
$g
4
$t
Spatial Distributions
$g
141 --
$g
4.1
$t
Sampled Systems
$g
141 --
$g
4.2
$t
Spatial Systems
$g
151 --
$g
4.3
$t
Finite-Difference Formulae
$g
160 --
$g
4.4
$t
Partial Differential Equations
$g
168 --
$g
4.5
$t
Finite Differences for Partial Derivatives
$g
172 --
$g
4.6
$t
Constraint Propagation
$g
177 --
$g
5
$t
Stochastic Data Representation
$g
184 --
$g
5.1
$t
Random Process Models
$g
184 --
$g
5.2
$t
Moving-Average (MA) Processes
$g
193 --
$g
5.3
$t
Autoregressive (AR) Processes
$g
198 --
$g
5.4
$t
Big-Z Notation
$g
206 --
$g
5.5
$t
Autoregressive Moving-Average (ARMA) Models
$g
209 --
$g
5.6
$t
Additive Noise
$g
214 --
$g
6
$t
Modeling Time-Driven Systems
$g
224 --
$g
6.1
$t
Modeling Input Signals
$g
225 --
$g
6.3
$t
Discrete Delays
$g
239 --
$g
6.4
$t
Distributed Delays
$g
243 --
$g
6.5
$t
System Integration
$g
250 --
$g
6.6
$t
Linear Systems
$g
257 --
$g
6.7
$t
Motion Control Models
$g
264 --
$g
6.8
$t
Numerical Experimentation
$g
268 --
$g
7
$t
Exogenous Signals and Events
$g
282 --
$g
7.1
$t
Disturbance Signals
$g
283 --
$g
7.2
$t
State Machines
$g
287 --
$g
7.3
$t
Petri Nets
$g
293 --
$g
7.4
$t
Analysis of Petri Nets
$g
305 --
$g
7.5
$t
System Encapsulation
$g
317 --
$g
8
$t
Markov Processes
$g
334 --
$g
8.1
$t
Probabilistic Systems
$g
334 --
$g
8.2
$t
Discrete-Time Markov Processes
$g
336 --
$g
8.3
$t
Random Walks
$g
346 --
$g
8.4
$t
Poisson Processes
$g
353 --
$t
Properties of the Poisson Process
$g
357 --
$g
8.5
$t
Exponential Distribution
$g
360 --
$g
8.6
$t
Simulating a Poisson Process
$g
363 --
$g
8.7
$t
Continuous-Time Markov Processes
$g
365 --
$g
9
$t
Event-Driven Models
$g
380 --
$g
9.1
$t
Simulation Diagrams
$g
380 --
$g
9.2
$t
Queuing Theory
$g
391 --
$g
9.3
$t
M/M/1 Queues
$g
395 --
$g
9.4
$t
Simulating Queuing Systems
$g
403 --
$g
9.5
$t
Finite-Capacity Queues
$g
405 --
$g
9.6
$t
Multiple Servers
$g
410 --
$g
9.7
$t
M/M/c Queues
$g
415 --
$g
10
$t
System Optimization
$g
426 --
$g
10.1
$t
System Identification
$g
426 --
$g
10.2
$t
Non-Derivative Methods
$g
435 --
$g
10.3
$t
Sequential Searches
$g
439 --
$g
10.4
$t
Golden Ratio Search
$g
442 --
$g
10.5
$t
Alpha/Beta Trackers
$g
445 --
$g
10.6
$t
Multidimensional Optimization
$g
452 --
$g
10.7
$t
Non-Derivative Methods for Multidimensional Optimization
$g
454 --
$g
10.8
$t
Modeling and Simulation Methodology
$g
468 --
$t
A Stochastic Methodology
$g
477 --
$t
Determining the Density Function
$g
477 --
$t
Estimation of Parameters
$g
483 --
$t
Goodness of Fit
$g
486 --
$g
B
$t
Popular Discrete Probability Distributions
$g
490 --
$t
Discrete Uniform
$g
490 --
$t
Binomial
$g
491 --
$t
Geometric
$g
492 --
$t
Poisson
$g
492 --
$g
C
$t
Popular Continuous Probability Distributions
$g
493 --
$t
Continuous Uniform
$g
493 --
$t
Gamma
$g
493 --
$t
Exponential
$g
494 --
$t
Chi-Square
$g
494 --
$t
m-Erlang
$g
495 --
$t
Gaussian
$g
495 --
$t
Beta
$g
496 --
$g
D
$t
Gamma Function
$g
497 --
$g
E
$t
Gaussian Distribution Function
$g
498 --
$g
F
$t
Chi-Square Distribution Function
$g
499.
506
$3
Use copy
$f
Restrictions unspecified
$2
star
$5
MiAaHDL
533
$a
Electronic reproduction.
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[S.l.] :
$c
HathiTrust Digital Library,
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2010.
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http://purl.oclc.org/DLF/benchrepro0212
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2010
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HathiTrust Digital Library
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System modeling and simulation.
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