Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
High Performance Computing and Numerical Modelling
🌠 Top Free Web Programming Books - 100% Free or Open Source!
  • Title High Performance Computing and Numerical Modelling
  • Author(s) Volker Springel
  • Publisher: arXiv (2014)
  • Paperback N/A
  • eBook PDF (108 pages)
  • Language: English
  • ISBN-10/ASIN: N/A
  • ISBN-13: N/A
  • Share This:  

Book Description

This textbook provides a step-by-step approach to numerical methods in engineering modelling. The authors provide a consistent treatment of the topic, from the ground up, to reinforce for students that numerical methods are a set of mathematical modelling tools which allow engineers to represent real-world systems and compute features of these systems with a predictable error rate.

Each method presented addresses a specific type of problem, namely root-finding, optimization, integral, derivative, initial value problem, or boundary value problem, and each one encompasses a set of algorithms to solve the problem given some information and to a known error bound.

The authors demonstrate that after developing a proper model and understanding of the engineering situation they are working on, engineers can break down a model into a set of specific mathematical problems, and then implement the appropriate numerical methods to solve these problems.

About the Authors
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • High Performance Computing (Charles Severance)

    The purpose of this book is to teach new programmers and scientists about the basics of High Performance Computing. It presents techniques that address new performance issues in the programming of high performance computing (HPC) applications.

  • High Performance Computing For Dummies, Sun & AMD Edition

    This book is intended for anyone who has heard about the many benefits of using HPC (such as streamlining processes or saving money). This book explains what HPC is and shows how it can help you or others within your company.

  • Introduction to the Modeling and Analysis of Complex Systems

    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.

  • A Gentle Introduction to Numerical Simulations with Python

    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.

  • 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.

  • 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.

  • Numerical Simulations of Physical and Engineering Processes

    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.

  • Modeling Creativity - Case Studies in Python (Tom De Smedt)

    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.

  • Is Parallel Programming Hard? If So, What Can You Do About It?

    It examines what makes parallel programming hard, and describes design techniques that can help you avoid many parallel-programming pitfalls. It is primarily intended for low-level C/C++ code, but offers valuable lessons for other environments as well.

Book Categories
:
Other Categories
Resources and Links