Hands-on simulation modeling with Python: develop simulation models to get accurate results and enhance decision-making processes

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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.

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Title Statements

Full title :Hands-on simulation modeling with Python : develop simulation models to get accurate results and enhance decision-making processes / Giuseppe Ciaburro.

Summary

Edition Statements

Publication Date:2020.

Publication Statements

Publisher(s):Packt Publishing
Place of Publication:Birmingham, UK
Language:eng
Publication Date:2020.

The Physical Object

Description:1 online resource (1 volume) : : illustrations

Edition Identifiers

ISBN:9781838988654, 1838988653
oclc:on1202027150
LC Classification:QA76.73.P98
Dewey Decimal:003.3

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

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

Random number simulation …

Subjects

COMPUTER PROGRAMMING computer simulation Decision making -- Data processing Méthodes de simulation Prise de décision -- Informatique Python (Computer program language) Python (Langage de programmation) Simulation simulation methods Simulation par ordinateur