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Mathematical Modeling And Optimization For Real Life Phenomena


Mathematical Modeling And Optimization For Real Life Phenomena
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Mathematical Modeling And Optimization For Real Life Phenomena


Mathematical Modeling And Optimization For Real Life Phenomena
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Author : Cristiana J. Silva
language : en
Publisher: Frontiers Media SA
Release Date : 2024-03-13

Mathematical Modeling And Optimization For Real Life Phenomena written by Cristiana J. Silva and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-13 with Science categories.


Mathematical modeling of real life phenomena is a powerful tool in analyzing and describing their dynamical behavior. These models can be optimized and controlled using appropriate optimization methods and optimal control theory. Different characterization techniques are used to explain a real natural phenomenon by numerical simulations or experimental approximations.



A Practical Approach To Advanced Mathematical Modelling In Civil Engineering


A Practical Approach To Advanced Mathematical Modelling In Civil Engineering
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Author : Mohammad Heidarzadeh
language : en
Publisher: Oxford University Press
Release Date : 2025-04-18

A Practical Approach To Advanced Mathematical Modelling In Civil Engineering written by Mohammad Heidarzadeh and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Technology & Engineering categories.


A Practical Approach to Advanced Mathematical Modelling in Civil Engineering introduces advanced mathematical techniques and modelling concepts through real-world practical applications in key areas of Civil Engineering. It fills a crucial gap in the existing literature by using examples from structural analysis, coastal processes, and soil behaviour. The authors approach to teaching has been developed over years of experience and aims to engage readers by demonstrating the universal utility of mathematical methods in solving engineering challenges. The chapters are designed around engineering subject areas such as structural, transportation, and geotechnical engineering. A focus on engineering rather than mathematical concepts helps students of engineering to concentrate on real-world applications and prescribe available mathematical techniques to each, as well as being useful for expanding the knowledge of already practicing engineers. The appendix backs this learning up with basic engineering mathematics, providing a comprehensive resource for all levels from undergraduate and graduate engineering students. Those already familiar with the basics can turn to the appendix at a later date to revisit their knowledge. The book will also be accompanied by a companion website hosting downloadable ready-to-use computer programs and code addressing real-world engineering problems, designed in the popular programming environment MATLAB. For those who are unfamiliar with the program, Appendix B provides a useful introduction to MATLAB. These codes are referred to throughout the book and are available for readers to download and use themselves.



Optimizing Solutions For Real Life Problems


Optimizing Solutions For Real Life Problems
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2025-06-20

Optimizing Solutions For Real Life Problems written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.


This book explores various optimization techniques that can be used to address problems in the real world. These problems can be found in healthcare, engineering, manufacturing, and many other fields. In many real-world situations, from business to science, optimization techniques are similar to problem-solving tools. They help us make the best choices by considering limitations (constraints) and what we are trying to achieve (objectives). These techniques sift through all the possibilities and find the most effective option. Optimization is similar to a toolbox filled with different problem-solving methods, such as linear programming or genetic algorithms. These tools help us make better decisions about allocating resources across many different fields. They do this by finding the most efficient and effective solutions, considering all the limitations and goals involved.



Techniques In Mathematical Modelling


Techniques In Mathematical Modelling
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Author : Gautami Devar
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Techniques In Mathematical Modelling written by Gautami Devar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.


"Techniques in Mathematical Modelling" is a comprehensive textbook designed to provide students, researchers, and practitioners with a solid foundation in the principles, techniques, and applications of mathematical modelling. We cover a wide range of topics, from fundamental concepts and analytical techniques to validation methods and emerging trends. Each chapter includes practical examples, case studies, and exercises to reinforce learning and demonstrate real-world applications. Our book emphasizes the interdisciplinary nature of mathematical modelling, with applications in physics, biology, economics, engineering, social sciences, and more. We encourage hands-on learning through practical exercises, simulations, and projects, allowing readers to apply theoretical concepts to real-world scenarios. Additionally, we explore emerging trends and challenges in the field, including advancements in computational techniques, data analytics, and interdisciplinary collaborations. Written in clear and accessible language, "Techniques in Mathematical Modelling" caters to readers with varying levels of mathematical background, making it suitable for undergraduate and graduate students as well as professionals.



Design And Optimization For 5g Wireless Communications


Design And Optimization For 5g Wireless Communications
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Author : Haesik Kim
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-19

Design And Optimization For 5g Wireless Communications written by Haesik Kim 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 2020-03-19 with Computers categories.


This book offers a technical background to the design and optimization of wireless communication systems, covering optimization algorithms for wireless and 5G communication systems design. The book introduces the design and optimization systems which target capacity, latency, and connection density; including Enhanced Mobile Broadband Communication (eMBB), Ultra-Reliable and Low Latency Communication (URLL), and Massive Machine Type Communication (mMTC). The book is organized into two distinct parts: Part I, mathematical methods and optimization algorithms for wireless communications are introduced, providing the reader with the required mathematical background. In Part II, 5G communication systems are designed and optimized using the mathematical methods and optimization algorithms.



Mathematical Models And Methods For Real World Systems


Mathematical Models And Methods For Real World Systems
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Author : K.M. Furati
language : en
Publisher: CRC Press
Release Date : 2005-07-19

Mathematical Models And Methods For Real World Systems written by K.M. Furati and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-19 with Mathematics categories.


This volume centers on the links between mathematics and the physical world. It first explores future challenges of mathematical technology, offers a wide-ranging definition of industrial mathematics, and explains the mathematics of type-II superconductors. After lucid discussions on theoretical and applied aspects of wavelets, the book presents classical and fractal methods for physical problems, including a fractal approach to porous media textures and using MATLAB to model chaos in the motion of a satellite. The final section surveys recent trends in variational methods, focusing on areas such as elliptic inverse problems, sweeping processes, and the BBKY hierarchy of quantum kinetic equations.



Mathematical Modeling In Cultural Heritage


Mathematical Modeling In Cultural Heritage
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Author : Gabriella Bretti
language : en
Publisher: Springer Nature
Release Date : 2025-06-20

Mathematical Modeling In Cultural Heritage written by Gabriella Bretti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Mathematics categories.


This book collects contributions presented at the INdAM Workshop "Mathematical modeling and Analysis of degradation and restoration in Cultural Heritage–MACH2023” held in Rome, Italy in September 2023. The book is focused on mathematical modeling and simulation techniques with the aim of improving the current strategies of conservation and restoration in cultural heritage, sharing different experiences and approaches. The main topics are corrosion and sulphation of materials, damage and fractures, stress in thermomechanical systems, contact and adhesion problems, phase transitions and reaction-diffusion models, restoration techniques, additive manufacturing, with a particular focus on the effective improvements of the fruition of cultural heritage. The final goal is to strengthen the bridge between the experts in different fields of cultural heritage and the mathematical community.



Mathematical Modeling And Control In Life And Environmental Sciences


Mathematical Modeling And Control In Life And Environmental Sciences
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Author : Sebastian Aniţa
language : en
Publisher: Springer Nature
Release Date : 2024-04-29

Mathematical Modeling And Control In Life And Environmental Sciences written by Sebastian Aniţa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Mathematics categories.


This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences. Emphasizing an approach of learning by doing, the authors focus on a set of significant case studies emerging from real-world problems and illustrate how mathematical techniques and computational experiments can be employed in the search for sustainable solutions. The following topics are extensively discussed: Eradicability and control of a paradigmatic epidemic model, with a view to the existence of endemic states, their stability, and the existence of travelling waves A spatially structured epidemic model concerning malaria as an example of vector-borne epidemics Optimal harvesting problems for space-structured and age-structured population dynamics Controlling epidemics in agriculture due to pest insects The role of predators as a possible biocontrol agent of epidemics in agriculture Control by taxation of the environmental pollution produced by human activities The originality of this text is in its leitmotif – regional control – along the principle of “Think Globally, Act Locally.” Indeed, for example, in many real spatially structured ecosystems, it is practically impossible to control the relevant system by global interventions in the whole habitat. Proofs are given whenever they may serve as a guide to the introduction of new concepts. Each chapter includes a comprehensive description of the numerical methods used for the computational experiments, and MATLAB© codes for many of the numerical simulations are available for download. Several challenging open problems are also provided to stimulate future research. This text is aimed at mathematicians, engineers, and other scientists working in areas such as biology, medicine, and economics. Graduate and advanced undergraduate students of a quantitative subject related to the analysis and applications of dynamical systems and their control will also find it to be a valuable resource.



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.



Advances In Visualization And Optimization Techniques For Multidisciplinary Research


Advances In Visualization And Optimization Techniques For Multidisciplinary Research
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Author : Dean Vucinic
language : en
Publisher: Springer Nature
Release Date : 2019-09-27

Advances In Visualization And Optimization Techniques For Multidisciplinary Research written by Dean Vucinic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Technology & Engineering categories.


This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis. In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.