A Mathematical Approach to Research Problems of Science and Technology | Theoretical Basis and Developments in Mathematical Modeling

Ryuei Nishii (u. a.)

ISBN 10: 4431550593 / ISBN 13: 9784431550594

Published by Springer, 2014

About this Item

A Mathematical Approach to Research Problems of Science and Technology | Theoretical Basis and Developments in Mathematical Modeling | Ryuei Nishii (u. a.) | Buch | xii | Englisch | 2014 | Springer | EAN 9784431550594 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 105271938

Bibliographic Details

• Title: A Mathematical Approach to Research Problems of Science and Technology | Theoretical Basis and Developments in Mathematical Modeling
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 4431550593
• ISBN 13: 9784431550594
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 34D millimeters 241 millimeters width by 160 millimeters height by 34 millimeters depth
• Weight: 939 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book deals with one of the most novel advances in mathematical modeling for applied scientific technology, including computer graphics, public-key encryption, data visualization, statistical data analysis, symbolic calculation, encryption, error correcting codes, and risk management. It also shows that mathematics can be used to solve problems from nature, e.g., slime mold algorithms.

One of the unique features of this book is that it shows readers how to use pure and applied mathematics, especially those mathematical theory/techniques developed in the twentieth century, and developing now, to solve applied problems in several fields of industry. Each chapter includes clues on how to use "mathematics" to solve concrete problems faced in industry as well as practical applications.

The target audience is not limited to researchers working in applied mathematics and includes those in engineering, material sciences, economics, and life sciences.