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Computational Fluid Dynamics in Practice
Computational Fluid Dynamics in Practice

Computational Fluid Dynamics in Practice explores the current and future developments in CFD, with the authors detailing advanced applications and case studies to demonstrate successes, illustrate the limitations, and identify methods for good practice. Designers, engineers, and researchers working in this field of fluid mechanics will...

Vector Models for Data-Parallel Computing (Artificial Intelligence)
Vector Models for Data-Parallel Computing (Artificial Intelligence)

Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model, ranging from graph algorithms to numerical algorithms, and argues that data-parallel models...

Perception-based Data Mining and Decision Making in Economics and Finance (Studies in Computational Intelligence)
Perception-based Data Mining and Decision Making in Economics and Finance (Studies in Computational Intelligence)

The primary goal of this book is to present to the scientific and management communities a selection of applications using more recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve the economics and financial problems. The selected examples could also serve as a starting point...

MATLAB Numerical Calculations
MATLAB Numerical Calculations

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Anisotropic diffusion in image processing
Anisotropic diffusion in image processing
Many recent techniques for digital image enhancement and multiscale image representations are based on nonlinear partial differential equations (PDEs).

This book gives an introduction to the main ideas behind these methods, and it describes in a systematic way their theoretical foundations, numerical aspects, and applications. A large
...
Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
Intended as a companion for textbooks in mathematical methods for science and engineering, this book presents a large number of numerical topics and exercises together with discussions of methods for solving such problems using Mathematica(R). Although it is primarily designed for use with the author's "Mathematical Methods: For...
Singular Perturbation Theory: Mathematical and Analytical Techniques with Applications to Engineering
Singular Perturbation Theory: Mathematical and Analytical Techniques with Applications to Engineering
The importance of mathematics in the study of problems arising from the real world, and the increasing success with which it has been used to model situations ranging from the purely deterministic to the stochastic, is well established. The purpose of the set of volumes to which the present one belongs is to make available authoritative, up to...
Electric and Hybrid Vehicles: Design Fundamentals
Electric and Hybrid Vehicles: Design Fundamentals

With advances driven by pressure from governments, environmental activists, and its associated industries, the subject of electric and hybrid vehicles is becoming increasingly important. Trends clearly suggest that we must educate the engineers of today and tomorrow in the technical details of these vehicles. While there are many books that...

Optimization (Springer Texts in Statistics)
Optimization (Springer Texts in Statistics)

Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus...

Learning SciPy for Numerical and Scientific Computing Second Edition
Learning SciPy for Numerical and Scientific Computing Second Edition

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

About This Book

  • Use different modules and routines from the SciPy library quickly and efficiently
  • Create vectors and matrices and learn how to perform standard mathematical operations...
Geometric Tools for Computer Graphics (The Morgan Kaufmann Series in Computer Graphics)
Geometric Tools for Computer Graphics (The Morgan Kaufmann Series in Computer Graphics)
Reinventing the wheel is a terrible waste of time, yet legions of computer programmers do exactly that every day. Geometric Tools for Computer Graphics gives the working graphics programmer a vast collection of programming examples, complex code snippets explained and ready to use. Each chapter is filled with more than just code...
Evolution and Seismic Tools for Stellar Astrophysics
Evolution and Seismic Tools for Stellar Astrophysics
This volume of original articles is the result of the work initiated in 2002 with the aim to extensively test, compare and optimize the numerical tools used to calculate stellar models and their oscillation frequencies.

This collection of papers provides a unique reference that covers 10 evolution codes and 9 oscillation codes. Most of these...

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