Computational Problems In Engineering
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Computational Problems In Engineering
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Author : Nikos Mastorakis
language : en
Publisher:
Release Date : 2014-06-30
Computational Problems In Engineering written by Nikos Mastorakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-30 with categories.
Computational Problems In Science And Engineering
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Author : Nikos Mastorakis
language : en
Publisher:
Release Date : 2015
Computational Problems In Science And Engineering written by Nikos Mastorakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering. Mathematical methods are presented in a unified manner, so they can be applied consistently to problems in applied electromagnetics, strength of materials, fluid mechanics, heat and mass transfer, environmental engineering, biomedical engineering, signal processing, automatic control and more.
Computational Problems In Science And Engineering Ii
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Author : Nikos E. Mastorakis
language : en
Publisher:
Release Date : 2025-05-27
Computational Problems In Science And Engineering Ii written by Nikos E. Mastorakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-27 with Technology & Engineering categories.
Genetic Ai Algorithms Evolutionary Approaches For Solving Complex Computational Problems
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Author : Rajesh Ojha Prof (Dr) Ajay Shriram Kushwaha
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-14
Genetic Ai Algorithms Evolutionary Approaches For Solving Complex Computational Problems written by Rajesh Ojha Prof (Dr) Ajay Shriram Kushwaha and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-14 with Computers categories.
In an era where technology evolves at an unprecedented pace, the demand for efficient, adaptable, and innovative solutions to complex computational problems has never been greater. Traditional algorithms often struggle to tackle the complexity, non-linearity, and scale of challenges faced in various fields, ranging from artificial intelligence (AI) to data science, bioinformatics, and beyond. This is where the power of genetic algorithms (GAs) and other evolutionary computation techniques comes into play, offering a new paradigm for problem-solving inspired by the process of natural selection. Genetic AI Algorithms: Evolutionary Approaches for Solving Complex Computational Problems explores the fascinating intersection of evolutionary biology and computational intelligence. It delves into the principles, techniques, and applications of genetic algorithms (GAs), genetic programming (GP), and other evolutionary strategies to provide readers with a comprehensive understanding of how these methods can be used to address some of the most challenging problems in modern computing. Evolutionary algorithms draw inspiration from the mechanisms of natural evolution, such as selection, mutation, crossover, and inheritance. These methods excel at finding optimal or near-optimal solutions in vast, poorly understood, or highly complex problem spaces. By mimicking the evolutionary process, they can explore potential solutions in ways that are often more robust and flexible than traditional approaches. Whether it’s solving optimization problems, designing neural networks, evolving game strategies, or simulating biological systems, evolutionary algorithms provide a powerful framework for innovation. This book serves as both an introduction and a practical guide for those seeking to harness the power of genetic AI algorithms. It begins with foundational concepts and gradually builds up to more advanced topics, ensuring accessibility for newcomers while providing in-depth insights for experienced practitioners. Through a combination of theory, examples, and case studies, readers will learn how to apply evolutionary algorithms to real-world problems, gain insights into the latest research, and discover new frontiers in computational intelligence. By the end of this journey, readers will be equipped with the knowledge and tools necessary to implement genetic AI algorithms for solving a wide array of complex computational challenges. As you embark on this exploration, I encourage you to think creatively and embrace the potential of evolutionary approaches to drive progress in your work, whether in academia, industry, or any other domain where computational problems abound. In closing, it is my hope that this book inspires further inquiry and discovery in the exciting field of genetic AI algorithms, and that it provides a solid foundation for those seeking to unlock the full potential of evolutionary computation. Authors
Computational Problems For Physics
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Author : Rubin H. Landau
language : en
Publisher: CRC Press
Release Date : 2018-05-30
Computational Problems For Physics written by Rubin H. Landau and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Science categories.
Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It’s also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features: • Detailed explanations and solutions in various coding languages. • Problems are ranked based on computational and physics difficulty. • Basics of numerical methods covered in an introductory chapter. • Programming guidance via flowcharts and pseudocode. Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics). Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medellín, Colombia.
Cpee
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Author :
language : en
Publisher:
Release Date : 2017
Cpee written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Electrical engineering categories.
The Numerical Scientist Unleashing The Power Of Modern C For Computational Problem Solving
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-16
The Numerical Scientist Unleashing The Power Of Modern C For Computational Problem Solving written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.
"The Numerical Scientist: Unleashing the Power of Modern C++ for Computational Problem-Solving" is a comprehensive guide that empowers scientists and engineers with the knowledge and skills necessary to harness the full potential of C++ in addressing real-world scientific problems. This book takes a comprehensive approach to scientific computing with C++, covering fundamental concepts, advanced techniques, and practical applications. It begins by introducing the core principles of modern C++, including object-oriented design, data structures, and algorithms. The book then delves into the intricacies of numerical libraries, providing an in-depth exploration of their functions and methods for scientific computations. To bridge the gap between theory and practice, the book presents engaging case studies that showcase the practical applications of C++ in tackling real-world scientific problems. These case studies span a wide range of scientific disciplines, from physics and engineering to biology and finance, demonstrating the versatility and adaptability of C++ as a computational tool. Furthermore, the book emphasizes the importance of data visualization in scientific exploration. It introduces powerful techniques for transforming raw data into visually compelling representations that illuminate patterns, trends, and hidden insights. Readers will learn how to leverage data visualization libraries to create informative and engaging visualizations that enhance their scientific communication. To ensure that readers can effectively develop high-performance scientific applications, the book also covers strategies for enhancing code performance and efficiency. It explores techniques for optimizing memory usage, utilizing multithreading and concurrency, and selecting appropriate algorithms for specific tasks. By the conclusion of this book, readers will emerge as proficient C++ programmers, equipped with the skills and knowledge necessary to develop sophisticated scientific applications that can revolutionize their research and propel their scientific discoveries to new heights. "The Numerical Scientist" is an indispensable resource for scientists, engineers, and researchers seeking to leverage the power of C++ in their computational endeavors. With its comprehensive coverage of fundamental concepts, advanced techniques, and practical applications, this book is a must-read for anyone looking to harness the full potential of C++ in scientific problem-solving. If you like this book, write a review on google books!
Data Analysis And Optimization For Engineering And Computing Problems
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Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2020-09-08
Data Analysis And Optimization For Engineering And Computing Problems written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with Technology & Engineering categories.
This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.
Modeling And Computation In Engineering Iii
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Author : Lei Zhang
language : en
Publisher: CRC Press
Release Date : 2014-06-11
Modeling And Computation In Engineering Iii written by Lei Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-11 with Technology & Engineering categories.
The demands of modeling and computation in engineering are rapidly growing as a multidisciplinary area with connections to engineering, mathematics and computer science. Modeling and Computation in Engineering III contains 45 technical papers from the 3rd International Conference on Modeling and Computation in Engineering (CMCE 2014, 28-29 June 2014, including 2014 Hydraulic Engineering and Environment Workshop, HEEW 2014). The conference serves as a major forum for researchers, engineers and manufacturers to share recent advances, discuss problems, and identify challenges associated with modeling technology, simulation technology and tools, computation methods and their engineering applications. The contributions showcase recent developments in the areas of civil engineering, hydraulic engineering, environmental engineering and systems engineering, and other related fields. The contributions in this book mainly focus on advanced theories and technology related to modeling and computation in civil engineering, hydraulic structures, hydropower and management, coastal reclamation and environmental assessment, flood control, irrigation and drainage, water resources and water treatment, environmental management and sustainability, waste management and environmental protection, pollution and control, geology and geography, mechanics in engineering, numerical software and applications. Although these papers represent only modest advances toward modeling and computation problems in engineering, some of the technologies might be key factors in the success of future engineering advances. It is expected that this book will stimulate new ideas, methods and applications in ongoing engineering advances. Modeling and Computation in Engineering III will be invaluable to academics and professionals in civil engineering, hydraulic engineering and environmental engineering.
Optimization And Regularization For Computational Inverse Problems And Applications
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Author : Yanfei Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-29
Optimization And Regularization For Computational Inverse Problems And Applications written by Yanfei Wang 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 2011-06-29 with Mathematics categories.
"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book covers both the methods, including standard regularization theory, Fejer processes for linear and nonlinear problems, the balancing principle, extrapolated regularization, nonstandard regularization, nonlinear gradient method, the nonmonotone gradient method, subspace method and Lie group method; and the practical applications, such as the reconstruction problem for inverse scattering, molecular spectra data processing, quantitative remote sensing inversion, seismic inversion using the Lie group method, and the gravitational lensing problem. Scientists, researchers and engineers, as well as graduate students engaged in applied mathematics, engineering, geophysics, medical science, image processing, remote sensing and atmospheric science will benefit from this book. Dr. Yanfei Wang is a Professor at the Institute of Geology and Geophysics, Chinese Academy of Sciences, China. Dr. Sc. Anatoly G. Yagola is a Professor and Assistant Dean of the Physical Faculty, Lomonosov Moscow State University, Russia. Dr. Changchun Yang is a Professor and Vice Director of the Institute of Geology and Geophysics, Chinese Academy of Sciences, China.