Stochastic Methods For Modeling And Predicting Complex Dynamical Systems
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Stochastic Methods For Modeling And Predicting Complex Dynamical Systems
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Author : Nan Chen
language : en
Publisher: Springer Nature
Release Date : 2025-04-12
Stochastic Methods For Modeling And Predicting Complex Dynamical Systems written by Nan Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Mathematics categories.
This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. The author presents mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools. The book provides practical examples and motivations when introducing these tools, merging mathematics, statistics, information theory, computational science, and data science. The author emphasizes the balance between computational efficiency and modeling accuracy while equipping readers with the skills to choose and apply stochastic tools to a wide range of disciplines. This second edition includes updated discussion of combining stochastic models with machine learning and addresses several additional topics, including importance sampling, regression, and maximum likelihood estimate. The author also introduces a new chapter on optimal control.
Stochastic Methods For Modeling And Predicting Complex Dynamical Systems
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Author : Nan Chen
language : en
Publisher: Springer Nature
Release Date : 2023-03-13
Stochastic Methods For Modeling And Predicting Complex Dynamical Systems written by Nan Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Mathematics categories.
This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational science, and data science. In addition, the author discusses how to choose and apply suitable mathematical tools to several disciplines including pure and applied mathematics, physics, engineering, neural science, material science, climate and atmosphere, ocean science, and many others. Readers will not only learn detailed techniques for stochastic modeling and prediction, but will develop their intuition as well. Important topics in modeling and prediction including extreme events, high-dimensional systems, and multiscale features are discussed.
An Introduction To Stochastic Modeling
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Author : Howard M. Taylor
language : en
Publisher: Academic Press
Release Date : 2014-05-10
An Introduction To Stochastic Modeling written by Howard M. Taylor and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Mathematics categories.
An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.
Exploring Probability And Random Processes Using Matlab
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Author : Roshan Trivedi
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Exploring Probability And Random Processes Using Matlab written by Roshan Trivedi 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.
"Exploring Probability and Random Processes Using MATLAB®" offers a comprehensive guide to probability theory, stochastic processes, and their practical applications, focusing on intuitive understanding and MATLAB implementation. This book provides readers with a solid foundation in probability and stochastic processes while equipping them with tools and techniques for real-world scenarios. We begin with an introduction to probability theory, covering random variables, probability distributions, and statistical measures. Readers learn how to analyze and interpret uncertainty, make probabilistic predictions, and understand statistical inference principles. Moving on to stochastic processes, we explore discrete-time and continuous-time processes, Markov chains, and other key concepts. Practical examples and MATLAB code snippets illustrate essential concepts and demonstrate their implementation in MATLAB. One distinguishing feature is the emphasis on intuitive understanding and practical application. Complex mathematical concepts are explained clearly and accessibly, making the material approachable for readers with varying mathematical backgrounds. MATLAB examples provide hands-on experience and develop proficiency in using MATLAB for probability and stochastic processes analysis. Whether you're a student building a foundation in probability theory and stochastic processes, a researcher seeking practical data analysis tools, or a practitioner in engineering or finance, this book will provide the knowledge and skills needed to succeed. With a blend of theoretical insights and practical applications, "Exploring Probability and Random Processes Using MATLAB®" is an invaluable resource.
Sustainable Data Management
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Author : Reem Khamis Hamdan
language : en
Publisher: Springer Nature
Release Date : 2025-04-28
Sustainable Data Management written by Reem Khamis Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.
This book dives deeper into the dynamic world of data and technology with the Sustainable Data Management and explores advanced strategies and innovative approaches to harnessing big data, leveraging communication technology, and mastering digital leadership in today's evolving business landscape. Uncover insights and techniques that propel readers organization towards sustainable success in the digital age.
Stochastic Calculus And Brownian Motion
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Author : Tejas Thakur
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Stochastic Calculus And Brownian Motion written by Tejas Thakur 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.
"Stochastic Calculus and Brownian Motion" is a comprehensive guide crafted for students and professionals in mathematical sciences, focusing on stochastic processes and their real-world applications in finance, physics, and engineering. We explore key concepts and mathematical foundations of random movements and their practical implications. At its core, the book delves into Brownian motion, the random movement of particles suspended in a fluid, as described by Robert Brown in the 19th century. This phenomenon forms a cornerstone of modern probability theory and serves as a model for randomness in physical systems and financial models describing stock market behaviors. We also cover martingales, mathematical sequences where future values depend on present values, akin to a fair game in gambling. The book demonstrates how martingales are used to model stochastic processes and their calibration in real-world scenarios. Stochastic calculus extends these ideas into continuous time, integrating calculus with random processes. Our guide provides the tools to understand and apply Itô calculus, crucial for advanced financial models like pricing derivatives and managing risks. Written clearly and systematically, the book includes examples and exercises to reinforce concepts and showcase their real-world applications. It serves as an invaluable resource for students, educators, and professionals globally.
Stochastic Processes And Calculus Explained
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Author : Vikas Rathi
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Stochastic Processes And Calculus Explained written by Vikas Rathi 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.
"Stochastic Processes and Calculus Explained" is an essential textbook designed to help readers understand and apply stochastic processes across various fields. Written in clear, accessible language, this book provides a solid foundation in probability theory and calculus while diving into stochastic processes, including random variables, probability distributions, Brownian motion, stochastic integration, and stochastic differential equations. We emphasize the practical relevance of these concepts in finance, physics, engineering, and biology. Our guide illustrates how stochastic processes model uncertainty and randomness, aiding in informed decision-making, outcome prediction, and complex system analysis. With real-world examples and exercises, we ensure readers can grasp and apply these concepts effectively. The book offers a strong mathematical foundation, covering key tools and techniques such as probability theory, calculus, and linear algebra, essential for understanding stochastic processes. Catering to readers of all backgrounds and expertise levels, "Stochastic Processes and Calculus Explained" is ideal for beginners and experienced practitioners alike. Its clear explanations, intuitive coverage, and comprehensive approach make it an invaluable resource for students, researchers, and professionals worldwide.
Intelligent Computing And Optimization
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Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2025-01-09
Intelligent Computing And Optimization 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 2025-01-09 with Computers categories.
This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green Infrastructure, Innovative Modeling and Deep Learning Architectures! It is a Master Piece of what our community of Academics and Experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Holistic Operational Research and Experience of the World-Leader Springer Nature! The 7th edition of International Conference on Intelligent Computing and Optimization took place at Baitong Hotel & Resort on October 26–27, 2023, with tremendous support from the global research scholars across the planet. Objective was to celebrate “Global Research Quality with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the globe,to share knowledge, experience and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of the 7th ICO’2023 is published by Springer Nature—Creativity Label of Inspiration.
Intelligent Satellite Design And Implementation
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Author : Jianjun Zhang
language : en
Publisher: John Wiley & Sons
Release Date : 2023-10-31
Intelligent Satellite Design And Implementation written by Jianjun Zhang 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 2023-10-31 with Technology & Engineering categories.
INTELLIGENT SATELLITE DESIGN AND IMPLEMENTATION Integrate cutting-edge technology into spacecraft design with this groundbreaking work Artificial intelligence and machine learning have revolutionized virtually every area of computing and complex engineering, and the design of satellite spacecraft is no exception. Intelligent satellites are increasingly capable of human-like perception, decision-making, and operations, and their problem-solving capacities are still expanding. As AI and machine learning continue to advance, their integration into satellite manufacture will only deepen. Intelligent Satellite Design and Implementation seeks to understand the foundations of this integration and its likely directions in the coming years. Beginning from the basic principles of interaction between artificial intelligence and satellite design and mission planning, the book analyzes a series of current or potential areas of technological advancement to create a comprehensive overview of the subject. Intelligent Satellite Design and Implementation readers will also find: Background information on the introduction and development of artificial intelligence Detailed discussion of topics including autonomous satellite operation, remote sensing satellites, and many more Over 100 illustrations and tables to reinforce key concepts Intelligent Satellite Design and Implementation is ideal for graduate students and advanced undergraduates in engineering, computing, and spacecraft design programs, as well as researchers in these and related fields.
Foundations Of Probability Theory
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Author : Himadri Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Foundations Of Probability Theory written by Himadri Deshpande 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.
"Foundations of Probability Theory" offers a thorough exploration of probability theory's principles, methods, and applications. Designed for students, researchers, and practitioners, this comprehensive guide covers both foundational concepts and advanced topics. We begin with basic probability concepts, including sample spaces, events, probability distributions, and random variables, progressing to advanced topics like conditional probability, Bayes' theorem, and stochastic processes. This approach lays a solid foundation for further exploration. Our book balances theory and application, emphasizing practical applications and real-world examples. We cover topics such as statistical inference, estimation, hypothesis testing, Bayesian inference, Markov chains, Monte Carlo methods, and more. Each topic includes clear explanations, illustrative examples, and exercises to reinforce learning. Whether you're a student building a solid understanding of probability theory, a researcher exploring advanced topics, or a practitioner applying probabilistic methods to solve real-world problems, this book is an invaluable resource. We equip readers with the knowledge and tools necessary to tackle complex problems, make informed decisions, and explore probability theory's rich landscape with confidence.