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Computing And Mathematical Modeling


Computing And Mathematical Modeling
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Computing And Mathematical Modeling


Computing And Mathematical Modeling
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Author : K. Thangavel
language : en
Publisher:
Release Date : 2006

Computing And Mathematical Modeling written by K. Thangavel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.


The expansion of computer technology has opened up new perspectives, increased the importance of mathematical models and created an urgent need for efficient algorithms. Reflecting these trends, this edited volume discusses pioneering methods and applications, which precipitate the solution of complex problems.



Math Modeling


Math Modeling
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Author :
language : en
Publisher:
Release Date : 2018

Math Modeling written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.




Applications Of Mathematical Modeling Machine Learning And Intelligent Computing For Industrial Development


Applications Of Mathematical Modeling Machine Learning And Intelligent Computing For Industrial Development
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Author : Madhu Jain
language : en
Publisher: CRC Press
Release Date : 2023-06-07

Applications Of Mathematical Modeling Machine Learning And Intelligent Computing For Industrial Development written by Madhu Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-07 with Computers categories.


The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book: Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.



Soft Computing Approach For Mathematical Modeling Of Engineering Problems


Soft Computing Approach For Mathematical Modeling Of Engineering Problems
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Author : Ali Ahmadian
language : en
Publisher: CRC Press
Release Date : 2021-09-02

Soft Computing Approach For Mathematical Modeling Of Engineering Problems written by Ali Ahmadian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-02 with Computers categories.


This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.



Mathematical Modelling And Scientific Computing With Applications


Mathematical Modelling And Scientific Computing With Applications
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Author : Santanu Manna
language : en
Publisher: Springer Nature
Release Date : 2020-02-14

Mathematical Modelling And Scientific Computing With Applications written by Santanu Manna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Mathematics categories.


This book contains original research papers presented at the International Conference on Mathematical Modelling and Scientific Computing, held at the Indian Institute of Technology Indore, India, on 19–21 July 2018. Organized into 30 chapters, the book presents the recent progress and the most advanced innovations, trends, and real-world challenges encountered and solutions embraced in the applications of mathematics and scientific computing. The book will be of interests to a wide variety of researchers, students and the practicing engineers working in diverse areas of science and engineering, ranging from applied and computational mathematics, vibration problem, computer science, and numerical optimization to physics, chemistry, biology, electrical, civil, mechanical, chemical, seismology, aerospace, and medical sciences. The aim of the conference is to bring together leading academicians, scientists, researchers, engineers, and industry partners from all over the globe to exchange and share their experiences and research results on various aspects of applied mathematics and scientific computation, like, differential equation, modeling, simulation, dynamical systems, numerical analysis, matrix theory, inverse problems, and solid and fluid mechanics, computational engineering.



Mathematical Modeling With Computers


Mathematical Modeling With Computers
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Author : Samuel L. S. Jacoby
language : en
Publisher: Prentice Hall
Release Date : 1980

Mathematical Modeling With Computers written by Samuel L. S. Jacoby and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Computers categories.


"This book is a guide for builders and users of computer implemented mathematical models." -- Preface.



Mathematical Modeling And Optimization


Mathematical Modeling And Optimization
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Author : Tony Hürlimann
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Mathematical Modeling And Optimization written by Tony Hürlimann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.


Computer-based mathematical modeling - the technique of representing and managing models in machine-readable form - is still in its infancy despite the many powerful mathematical software packages already available which can solve astonishingly complex and large models. On the one hand, using mathematical and logical notation, we can formulate models which cannot be solved by any computer in reasonable time - or which cannot even be solved by any method. On the other hand, we can solve certain classes of much larger models than we can practically handle and manipulate without heavy programming. This is especially true in operations research where it is common to solve models with many thousands of variables. Even today, there are no general modeling tools that accompany the whole modeling process from start to finish, that is to say, from model creation to report writing. This book proposes a framework for computer-based modeling. More precisely, it puts forward a modeling language as a kernel representation for mathematical models. It presents a general specification for modeling tools. The book does not expose any solution methods or algorithms which may be useful in solving models, neither is it a treatise on how to build them. No help is intended here for the modeler by giving practical modeling exercises, although several models will be presented in order to illustrate the framework. Nevertheless, a short introduction to the modeling process is given in order to expound the necessary background for the proposed modeling framework.



Recent Trends In Mathematical Modeling And High Performance Computing


Recent Trends In Mathematical Modeling And High Performance Computing
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Author : Vinai K. Singh
language : en
Publisher: Springer Nature
Release Date : 2021-08-23

Recent Trends In Mathematical Modeling And High Performance Computing written by Vinai K. Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-23 with Mathematics categories.


This volume explores the connections between mathematical modeling, computational methods, and high performance computing, and how recent developments in these areas can help to solve complex problems in the natural sciences and engineering. The content of the book is based on talks and papers presented at the conference Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), held at Inderprastha Engineering College in Ghaziabad, India in January 2020. A wide range of both theoretical and applied topics are covered in detail, including the conceptualization of infinity, efficient domain decomposition, high capacity wireless communication, infectious disease modeling, and more. These chapters are organized around the following areas: Partial and ordinary differential equations Optimization and optimal control High performance and scientific computing Stochastic models and statistics Recent Trends in Mathematical Modeling and High Performance Computing will be of interest to researchers in both mathematics and engineering, as well as to practitioners who face complex models and extensive computations.



Mathematical Modeling For Computer Applications


Mathematical Modeling For Computer Applications
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Author : Biswadip Basu Mallik
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-08

Mathematical Modeling For Computer Applications written by Biswadip Basu Mallik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Mathematics categories.




Introduction To Mathematical Modeling And Computer Simulations


Introduction To Mathematical Modeling And Computer Simulations
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Author : Vladimir Mityushev
language : en
Publisher: CRC Press
Release Date : 2018-02-19

Introduction To Mathematical Modeling And Computer Simulations written by Vladimir Mityushev and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Mathematics categories.


Introduction to Mathematical Modeling and Computer Simulations is written as a textbook for readers who want to understand the main principles of Modeling and Simulations in settings that are important for the applications, without using the profound mathematical tools required by most advanced texts. It can be particularly useful for applied mathematicians and engineers who are just beginning their careers. The goal of this book is to outline Mathematical Modeling using simple mathematical descriptions, making it accessible for first- and second-year students.