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Hands-on simulation modeling with Python : develop simulation models to get accurate results and enhance decision-making processes /
Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
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| 003 | OCoLC | ||
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| 019 | |a 1176510937 |a 1178652244 | ||
| 020 | |a 9781838988654 | ||
| 020 | |a 1838988653 | ||
| 020 | |z 9781838985097 | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Ciaburro, Giuseppe, |e author. | |
| 245 | 1 | 0 | |a Hands-on simulation modeling with Python : |b develop simulation models to get accurate results and enhance decision-making processes / |c Giuseppe Ciaburro. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2020. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from cover (Safari, viewed October 27, 2020). | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Numerical Simulation -- Chapter 1: Introducing Simulation Models -- Introducing simulation models -- Decision-making workflow -- Comparing modeling and simulation -- Pros and cons of simulation modeling -- Simulation modeling terminology -- Classifying simulation models -- Comparing static and dynamic models -- Comparing deterministic and stochastic models -- Comparing continuous and discrete models -- Approaching a simulation-based problem | |
| 505 | 8 | |a Problem analysis -- Data collection -- Setting up the simulation model -- Simulation software selection -- Verification of the software solution -- Validation of the simulation model -- Simulation and analysis of results -- Dynamical systems modeling -- Managing workshop machinery -- Simple harmonic oscillator -- Predator-prey model -- Summary -- Chapter 2: Understanding Randomness and Random Numbers -- Technical requirements -- Stochastic processes -- Types of stochastic process -- Examples of stochastic processes -- The Bernoulli process -- Random walk -- The Poisson process | |
| 505 | 8 | |a Random number simulation -- Probability distribution -- Properties of random numbers -- The pseudorandom number generator -- The pros and cons of a random number generator -- Random number generation algorithms -- Linear congruential generator -- Random numbers with uniform distribution -- Lagged Fibonacci generator -- Testing uniform distribution -- The chi-squared test -- Uniformity test -- Exploring generic methods for random distributions -- The inverse transform sampling method -- The acceptance-rejection method -- Random number generation using Python -- Introducing the random module | |
| 505 | 8 | |a The random.random() function -- The random.seed() function -- The random.uniform() function -- The random.randint() function -- The random.choice() function -- The random.sample() function -- Generating real-valued distributions -- Summary -- Chapter 3: Probability and Data Generation Processes -- Technical requirements -- Explaining probability concepts -- Types of events -- Calculating probability -- Probability definition with an example -- Understanding Bayes' theorem -- Compound probability -- Bayes' theorem -- Exploring probability distributions -- Probability density function | |
| 505 | 8 | |a Mean and variance -- Uniform distribution -- Binomial distribution -- Normal distribution -- Summary -- Section 2: Simulation Modeling Algorithms and Techniques -- Chapter 4: Exploring Monte Carlo Simulations -- Technical requirements -- Introducing Monte Carlo simulation -- Monte Carlo components -- First Monte Carlo application -- Monte Carlo applications -- Applying the Monte Carlo method for Pi estimation -- Understanding the central limit theorem -- Law of large numbers -- Central limit theorem -- Applying Monte Carlo simulation -- Generating probability distributions | |
| 520 | |a Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Simulation methods. | |
| 650 | 0 | |a Decision making |x Data processing. | |
| 650 | 2 | |a Computer Simulation | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Simulation par ordinateur. | |
| 650 | 6 | |a Méthodes de simulation. | |
| 650 | 6 | |a Prise de décision |x Informatique. | |
| 650 | 7 | |a simulation. |2 aat | |
| 650 | 7 | |a simulation methods. |2 aat | |
| 650 | 7 | |a Simulation methods. |2 fast |0 (OCoLC)fst01119166 | |
| 650 | 7 | |a Decision making |x Data processing. |2 fast |0 (OCoLC)fst00889041 | |
| 650 | 7 | |a Computer programming. |2 fast |0 (OCoLC)fst00872390 | |
| 650 | 7 | |a Computer simulation. |2 fast |0 (OCoLC)fst00872518 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 776 | 0 | 8 | |i Print version: |a Ciaburro, Giuseppe. |t Hands-On Simulation Modeling with Python : Develop Simulation Models to Get Accurate Results and Enhance Decision-Making Processes. |d Birmingham : Packt Publishing, Limited, ©2020 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781838985097/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6267443 | ||
| 938 | |a EBSCOhost |b EBSC |n 2527744 | ||
| 938 | |a YBP Library Services |b YANK |n 301388220 | ||
| 994 | |a 92 |b IZTAP | ||