Computational Science and its Applications

Computational science is a rapidly growing field that uses mathematical models to analyze and solve real-world problems. This book covers applications of wavelet and fractals, modeling by partial differential equations, computational linguistics, prediction of natural calamities and diseases, biometrics, modeling through inverse problems, interdisciplinary topics of physics, mathematics, and medical science, and modeling of terrorist attacks and human behavior. It is designed to provide readers with a solid understanding of basic science and an integrated knowledge of how to use essential methods from computational science.

Format: Hardback
Length: 394 pages
Publication date: 21 October 2020
Publisher: Taylor & Francis Ltd

Computational science is a rapidly evolving interdisciplinary domain that focuses on the development, implementation, and application of mathematical models to analyze and solve real-world problems. It encompasses a wide range of scientific disciplines and involves the creation of models that enable computer-based simulations or numerical analysis to understand complex computational and theoretical issues.

Computational Science and its Applications offers a comprehensive platform for readers to cultivate skills in formulating and resolving problems that integrate insights from multiple natural sciences with mathematical tools and computational expertise. This necessitates a distinctive blend of applied and theoretical knowledge and skills. The book's chapters cover a diverse range of topics, including applications of wavelets and fractals, modeling using partial differential equations on flat structures and graphs, computational linguistics, predicting natural calamities and diseases such as epilepsy seizures, heart attacks, strokes, biometrics, modeling through inverse problems, interdisciplinary topics spanning physics, mathematics, and medical science, and modeling of terrorist attacks and human behavior.

Rather than catering solely to computer specialists, this book aims to provide readers with a solid foundation in basic science as well as an integrated understanding of how to employ essential methods from computational science. Key Features:

Modeling of Complex Systems: The book delves into the techniques and methodologies used to represent and analyze complex systems, such as biological systems, social networks, and environmental systems.

Cognitive Computing Systems for Real-World Problems: It explores the application of cognitive computing systems to solve real-world problems, including machine learning, natural language processing, and image recognition.

Presentation of Inverse Problems in Medical Science and their Numerical Solutions: The book discusses inverse problems in medical science, which involve the reconstruction of images, structures, or physiological processes from limited data. It presents numerical solutions to these problems using computational techniques.

Challenging Research Problems in Many Areas of Computational Science: The book presents a collection of research problems in various areas of computational science, including optimization, simulation, and data analysis. These problems offer opportunities for scholars and researchers to contribute to the field's advancements.

This book serves as a valuable reference for researchers working in the fields of computational science, mathematics, engineering, computer science, and applied sciences. It provides a comprehensive overview of the latest developments and applications in the domain, enabling readers to stay updated with the latest research trends and techniques.

Weight: 952g
Dimension: 184 x 260 x 28 (mm)
ISBN-13: 9780367256234