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.

An accessible undergraduate textbook in Computational Neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons in Python. Build a foundation for modeling Neural Circuits.

Introduction to computer modeling of the brain, to understand how people think, including perception, attention, motor control, learning, memory, language, and executive functions (motivation, decision making, planning, etc).

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.

This book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context.

Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations.

This textbook provides a step-by-step approach to numerical methods in engineering modelling. It provides a consistent treatment of the topic, from the ground up, to reinforce for students that numerical methods are a set of mathematical modelling tools.

This book is to model creativity using computational approaches in Python. The aim is to construct computer models that exhibit creativity in an artistic context, that is, that are capable of generating or evaluating an artwork (visual or linguistic), etc.

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.

This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways.

This textbook is designed for engineering students and professionals in the field to support their understanding and application of these methods for modelling, simulation, and design of engineering systems.

This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-Machines, can be stretched across multiple fields to produce Agent-Based Models.

The book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs, covers the basics of magnetic resonance imaging and quickly proceed to generating first FEniCS brain meshes from T1-weighted images.

This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications.

This book provides a comprehensive and accessible introduction to the theory and practice of Inventory Control – a significant research area central to supply chain planning. It adopts a practicable, Python-driven approach to illustrating theories and concepts.

This book teaches you the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization, using Processing..

The book handles the numerical simulations of physical and engineering systems. It can be treated as a bridge linking various numerical approaches of two closely inter-related branches of science, i.e. physics and engineering.

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.

It emphasize model-formulation and model-building skills as well as interpretation of computer software output. Focusing on deterministic models, this book is designed for the operations research sequence with a strong computer orientation skills.

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.

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.

It presents both new theories and their applications, showing bridge between theoretical investigations and possibility to apply them by engineers of science, handles the recent research devoted to numerical simulations of physical and engineering systems.

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.

This book focuses on the state of the art of Monte Carlo methods Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Scienc. The main thrust of this book is to emphasize applications in biology and medicine.

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, X-ray Imaging, ...

This innovative textbook concentrates on developing general methods for studying the behavior of classical systems. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic.

This is a textbook for a course in mathematical probability and statistics for computer science students.

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.

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.

A collection of 21 Classical Flight Simulation Books available on the web. Everything there is available with permission of the copyright holders. More than 2,200 printed pages have been digitized into 800+ web pages.