10% off all books and free delivery over £40
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Computing and Simulation for Engineers

View All Editions (1)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Computing and Simulation for Engineers Synopsis

This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.

The book:

Discusses topics related to clean and green energy production and storage

Bridges the gap between core theory and costly industrial experiments

Covers advanced biomechanics and nanodrug delivery topics

Explores diversified applications of mathematical techniques to solve practical engineering problems

The text in this book emphasizes mathematical treatment of soft computing, image and signal processing, fluid flows in various geometries, biomechanics, biological modeling, a mathematical description of the solar cell, analytical and numerical treatment of problems in fracture mechanics, and antenna design modeling. It also discusses the numerical computations of biomechanics problems and problems arising in cryptography. The text further covers optimization techniques that are useful for real-world problems.

This material is primarily written for graduate students and academic researchers in a number of engineering fields, including electrical, electronics and communication, industrial, manufacturing, mechanical, computer science, and mathematics.

About This Edition

ISBN: 9781032119434
Publication date:
Author: Ziya Uddin, Mukesh Kumar Awasthi, Rishi Asthana, Mangey Ram
Publisher: CRC Press
Format: Paperback
Pagination: 238 pages
Series: Mathematical Engineering, Manufacturing, and Management Sciences
Genres: Information technology: general topics
Differential calculus and equations
Mathematical modelling
Engineering: general
Electrical engineering
Communications engineering / telecommunications
Probability and statistics
Mathematical and statistical software
Image processing
Product design