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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 /
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504 $a Includes bibliographical references and index.
505 0 0 $g 1 $t Describing Systems $g 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.
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533 $a Electronic reproduction. $b [S.l.] : $c HathiTrust Digital Library, $d 2010. $5 MiAaHDL
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650 0 $a System theory. $3 147880
650 7 $a COMPUTERS $x Computer Simulation. $2 bisacsh $3 1000065051
655 4 $a Electronic books. $2 local. $3 172687
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