Numerical Modeling Of D Mappings With Applications To Chemical Kinetics
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Numerical Modeling Of D Mappings With Applications To Chemical Kinetics
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Author :
language : en
Publisher:
Release Date : 1984
Numerical Modeling Of D Mappings With Applications To Chemical Kinetics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.
Mathematical Modelling In Science And Technology
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Author : Xavier J.R. Avula
language : en
Publisher: Elsevier
Release Date : 2014-05-09
Mathematical Modelling In Science And Technology written by Xavier J.R. Avula and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-09 with Mathematics categories.
Mathematical Modelling in Science and Technology: The Fourth International Conference covers the proceedings of the Fourth International Conference by the same title, held at the Swiss Federal Institute of Technology, Zurich, Switzerland on August 15-17, 1983. Mathematical modeling is a powerful tool to solve many complex problems presented by scientific and technological developments. This book is organized into 20 parts encompassing 180 chapters. The first parts present the basic principles, methodology, systems theory, parameter estimation, system identification, and optimization of mathematical modeling. The succeeding parts discuss the features of stochastic and numerical modeling and simulation languages. Considerable parts deal with the application areas of mathematical modeling, such as in chemical engineering, solid and fluid mechanics, water resources, medicine, economics, transportation, and industry. The last parts tackle the application of mathematical modeling in student management and other academic cases. This book will prove useful to researchers in various science and technology fields.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Numerical Modeling Of D Mapping With Applications To Chemical Kinetics
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Author : S. K. Dey
language : en
Publisher:
Release Date : 1984
Numerical Modeling Of D Mapping With Applications To Chemical Kinetics written by S. K. Dey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Chemical reactions categories.
Perturbed Functional Iterations
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Author : Suhrit Dey
language : en
Publisher: CRC Press
Release Date : 2024-06-28
Perturbed Functional Iterations written by Suhrit Dey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Mathematics categories.
Perturbed functional iterations (PFI) is a large‐scale nonlinear system solver. Nature is abundant with events simulated mathematically by nonlinear systems of equations and inequalities. These we call nonlinear models. Often, they are ill‐conditioned, meaning small changes in data causing huge changes in the output. PFI, previously called the perturbed iterative scheme (PIS), is a numerical method to solve nonlinear systems of equations in multidimensional space. Computational results demonstrate that this numerical method has some unique features, which have made it more practical for applications in engineering and applied mathematics. This book will guide readers in the proper use of PFI, both in theoretical and practical settings. Features: Ideal resource for postgraduates and professional researchers in science and engineering working in nonlinear systems Algorithmically simple enough for engineers and applied scientists to write their own software based on the contents
Mathematical And Computational Studies On Progress Prognosis Prevention And Panacea Of Breast Cancer
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Author : Suhrit Dey
language : en
Publisher: Springer Nature
Release Date : 2022-03-25
Mathematical And Computational Studies On Progress Prognosis Prevention And Panacea Of Breast Cancer written by Suhrit 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 2022-03-25 with Computers categories.
This book’s aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie–Simpson numerical algorithm, models represented by nonlinear reaction–diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful.
Government Reports Annual Index
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Author :
language : en
Publisher:
Release Date : 1984
Government Reports Annual Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Government reports announcements & index categories.
Numerical Modeling Of Turbulent Combustion
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Author : Luc Vervisch
language : en
Publisher: Academic Press
Release Date : 2025-06-27
Numerical Modeling Of Turbulent Combustion written by Luc Vervisch and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Technology & Engineering categories.
Numerical Modeling of Turbulent Combustion provides readers with a comprehensive understanding of the specificities involved in numerical simulation of gaseous turbulent reactive flows and flames, including their most current applications. This title is intended for individuals with a background in fluid mechanics who are seeking to delve into the fundamentals of turbulent combustion modeling. It offers methodologies to simulate flames while taking into account their multi-physics character. Moreover, the text addresses emerging numerical technologies within this field and highlights the relevance of new sustainable fuels. The structure of the book is carefully organised to cover various aspects. It begins with an exploration of the fundamentals of aerothermochemistry, presenting key quantities and their corresponding balance equations that require numerical solutions. The book then delves into the essential concepts and tools necessary to handle the strongly non-linear nature of turbulent flames, with a specific focus on the interplay between turbulence and chemistry. Furthermore, readers will gain insights into the numerical modeling of flames within the context of sustainable combustion. This includes the introduction of novel fuels, such as hydrogen and solid metals, which have become increasingly relevant in recent times. The book also takes into account cutting-edge techniques, like the systematic integration of machine learning in numerical simulations of complex systems and the lattice Boltzmann approach. These innovations open new possibilities for tackling challenges in numerical turbulent combustion research. Both the fundamental methods and modeling tools are presented in detail, along with best practice guidelines for their practical application in simulations. This ensures that readers not only grasp the underlying theories but also gain valuable insights into how to implement these techniques effectively. Overall, Numerical Turbulent Combustion serves as a valuable resource for researchers and practitioners alike, offering a comprehensive and up-to-date understanding of numerical simulations in the field of turbulent combustion. - Offers a comprehensive and balanced approach by addressing the problem both theoretically and practically - Provides a consistent and in-depth exploration of flames and turbulent combustion - Highlights the most current and crucial applications, with a particular emphasis on fostering a fundamental understanding and emerging technologies
Smart Modelling For Engineering Systems
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Author : Margarita N. Favorskaya
language : en
Publisher: Springer Nature
Release Date : 2021-01-30
Smart Modelling For Engineering Systems written by Margarita N. Favorskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-30 with Technology & Engineering categories.
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.
Machine Learning And Its Application To Reacting Flows
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Author : Nedunchezhian Swaminathan
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Machine Learning And Its Application To Reacting Flows written by Nedunchezhian Swaminathan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows. These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and “greener” combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.