Computer simulation : a foundational approach using Python / Yahya E. Osais.
Osais, Yahya E.| Call Number | 003.3 O811 |
| Author | Osais, Yahya E., author. |
| Title | Computer simulation : a foundational approach using Python / Yahya E. Osais. |
| Physical Description | 1 online resource (xvii, 447 pages) |
| Series | Chapman & Hall/CRC computer & information science series ; 101 |
| Contents | part PART I: The Fundamentals -- chapter 1 Introduction -- chapter 2 Building Conceptual Models -- chapter 3 Simulating Probabilities -- chapter 4 Simulating Random Variables and Stochastic Pro- cesses -- chapter 5 Simulating the Single-Server Queueing System -- chapter 6 Statistical Analysis of Simulated Data -- part PART II: Managing Complexity -- chapter 7 Event Graphs -- chapter 8 Building Simulation Programs -- part PART III: Problem-Solving -- chapter 9 The Monte Carlo Method -- part PART IV: Sources of Randomness -- chapter 10 Random Variate Generation -- chapter 11 Random Number Generation -- part PART V: Case Studies -- chapter 12 Case Studies. |
| Subject | COMPUTER SIMULATION. Python (Computer program language) |
| Multimedia |
Total Ratings:
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$a part PART I: The Fundamentals -- chapter 1 Introduction -- chapter 2 Building Conceptual Models -- chapter 3 Simulating Probabilities -- chapter 4 Simulating Random Variables and Stochastic Pro- cesses -- chapter 5 Simulating the Single-Server Queueing System -- chapter 6 Statistical Analysis of Simulated Data -- part PART II: Managing Complexity -- chapter 7 Event Graphs -- chapter 8 Building Simulation Programs -- part PART III: Problem-Solving -- chapter 9 The Monte Carlo Method -- part PART IV: Sources of Randomness -- chapter 10 Random Variate Generation -- chapter 11 Random Number Generation -- part PART V: Case Studies -- chapter 12 Case Studies.
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| Contents | part PART I: The Fundamentals -- chapter 1 Introduction -- chapter 2 Building Conceptual Models -- chapter 3 Simulating Probabilities -- chapter 4 Simulating Random Variables and Stochastic Pro- cesses -- chapter 5 Simulating the Single-Server Queueing System -- chapter 6 Statistical Analysis of Simulated Data -- part PART II: Managing Complexity -- chapter 7 Event Graphs -- chapter 8 Building Simulation Programs -- part PART III: Problem-Solving -- chapter 9 The Monte Carlo Method -- part PART IV: Sources of Randomness -- chapter 10 Random Variate Generation -- chapter 11 Random Number Generation -- part PART V: Case Studies -- chapter 12 Case Studies. |
| Subject | COMPUTER SIMULATION. Python (Computer program language) |
| Multimedia |