Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Mathematical and Numerical Modelling in Electrical Engineering Theory and Applications, PDF eBook

Mathematical and Numerical Modelling in Electrical Engineering Theory and Applications PDF

Part of the Mathematical Modelling: Theory and Applications series

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

Mathematical modeling plays an essential role in science and engineering.

Costly and time consuming experiments (if they can be done at all) are replaced by computational analysis.

In industry, commercial codes are widely used. They are flexible and can be adjusted for solving specific problems of interest.

Solving large problems with tens or hundreds of thousands unknowns becomes routine.

The aim of analysis is to predict the behavior of the engineering and physical reality usually within the constraints of cost and time.

Today, human cost and time are more important than computer cost.

This trend will continue in the future. Agreement between computational results and reality is related to two factors, namely mathematical formulation of the problems and the accuracy of the numerical solution.

The accuracy has to be understood in the context of the aim of the analysis.

A small error in an inappropriate norm does not necessarily mean that the computed results are usable for practical purposes.

Information

Information