Numerical Modeling in Science and Engineering
Numerical Modeling in Science and Engineering by Lawrence Bech, published by NY Research Press on June 2, 2017, is a comprehensive exploration of numerical modeling techniques. This edition, comprising 213 pages, delves into computational and mathematical methods used to address scientific problems, focusing on algorithmic simulation, computer software development, and computational intelligence.
Readers will find a thorough examination of the fundamental elements of numerical modeling and its significance in contemporary applications across various industries. The book analyzes the rapid advancements in this field and emphasizes the importance of these methods as essential tools for growth in technology and engineering. By providing insights into the evolving landscape of numerical modeling, this work aims to equip readers with the knowledge necessary to navigate the ongoing changes in this discipline.
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Numerical modeling is the use of computational and mathematical methods to solve scientific problems. This book on numerical modeling in science and engineering deals with the basic elements that are dealt by this field such as algorithmic simulation, computer software development and computational intelligence. There has been rapid progress in this field and its applications are finding their way across multiple industries. This book studies, analyzes and upholds the pillars of numerical modeling and its utmost significance in modern times. While understanding the long-term perspective of the topics, the book makes an effort in highlighting their impact as a modern tool for the growth of the discipline. It will help the readers in keeping pace with the rapid changes in this field.
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