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Modeling and Simulation in Python (Allen B. Downey)
This book is an introduction to physical modeling using a computational approach with Python. You will learn how to use Python to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; etc.

Computer Simulation Techniques  The Definitive Introduction
This book addresses all the important aspects of a computer simulation study, including modeling, simulation languages, validation, input probability distribution, and analysis of simulation output data.

MATLAB  Modelling, Programming and Simulations (E. P. Leite)
This is an authoritative guide to generating readable, compact, and verifiably correct MATLAB programs. It is ideal for undergraduate engineering courses in Mechanical, Aeronautical, Civil, and Electrical engineering that require/use MATLAB.

AMPL: A Modeling Language for Mathematical Programming
This book is a complete guide to AMPL for modelers at all levels of experience. It begins with a tutorial on widely used linear programming models, and presents all of AMPL's features for linear programming with extensive examples.

Modeling Reactive Systems With Statecharts (David Harel)
The book provides a detailed description of a set of languages for modelling reactive systems, which underlies the STATEMATE toolset. The approach is dominated by the language of Statecharts, used to describe behavior and activities.

The Nature of Code: Simulating Natural Systems with Processing
A range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results, using Processing.

Computational and Numerical Simulations (Jan Awrejcewicz)
It presents both new theories and their applications, showing bridge between theoretical investigations and possibility to apply them by engineers of different branches of science.

Theory and Applications of Monte Carlo Simulations (Wai Kin Chan)
The purpose of this book is to introduce researchers and practitioners to recent advances and applications of Monte Carlo Simulation (MCS). Random sampling is the key of the MCS technique.

Applications of Monte Carlo Method in Science and Engineering
This book exposes the broad range of applications of Monte Carlo simulation in the fields of Quantum Physics, Statistical Physics, Reliability, Medical Physics, Polycrystalline Materials, Ising Model, Chemistry, Agriculture, Food Processing, Xray Imaging, ...

From Algorithms to ZScores: Probabilistic and Statistical Modeling
This is a textbook for a course in mathematical probability and statistics for computer science students.

Technology and Engineering Applications of SIMULINK
Present the procedural steps required for modeling and simulating the basic dynamic system problems in SIMULINK, built on the top of MATLAB to provide a platform for engineers to plan, model, design, simulate, test and implement complex systems.

Modeling, Programming and Simulations Using LabVIEW™ Software
In this book a collection of applications covering a wide range of possibilities is presented. We go from simple or distributed control software to modeling done in LabVIEW to very specific applications to usage in the educational environment.

Learning Processing: Guide to Programming Images, Animation
This book teaches you the basic building blocks of programming needed to create cuttingedge graphics applications including interactive art, live video processing, and data visualization, using Processing..

Computational Simulations and Modeling
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