Application Of Kalman Filter Technique For Optimal Use Of Time Series Information In Dynamic Optimization Problems
DOWNLOAD
Download Application Of Kalman Filter Technique For Optimal Use Of Time Series Information In Dynamic Optimization Problems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Application Of Kalman Filter Technique For Optimal Use Of Time Series Information In Dynamic Optimization Problems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Application Of Kalman Filter Technique For Optimal Use Of Time Series Information In Dynamic Optimization Problems
DOWNLOAD
Author : Keshav P. Vishwakarma
language : en
Publisher:
Release Date : 1970
Application Of Kalman Filter Technique For Optimal Use Of Time Series Information In Dynamic Optimization Problems written by Keshav P. Vishwakarma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Time-series analysis categories.
Lectures On Dynamic Macroeconomics Methods And Applications
DOWNLOAD
Author : Chetan Dave
language : en
Publisher: World Scientific
Release Date : 2025-05-27
Lectures On Dynamic Macroeconomics Methods And Applications written by Chetan Dave and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-27 with Business & Economics categories.
This book provides an introduction to the study of dynamic general equilibrium economic models: time can either be modelled in a discrete or continuous fashion, and the environment may be either deterministic or stochastic — this generality accommodates both business cycle and economic growth modelling.The purpose of the book is to teach first the tools employed in modern macroeconomic theory and second the topics most often encountered in macroeconomic debate. While the focus of the textbook is on macroeconomic modelling, the tools that are employed can also be applied to other fields in economics; for example, natural resource and environmental economics and industrial organization. Throughout the text the reader is exposed to both methodology and applications — the scope and reach of a reader's own modelling is of course entirely a function of her own ingenuity with economic questions of interest.
Scientific And Technical Aerospace Reports
DOWNLOAD
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.
Macro Economic Regulation
DOWNLOAD
Author : Keshav P. Vishwakarma
language : en
Publisher: Gower Publishing Company, Limited
Release Date : 1974
Macro Economic Regulation written by Keshav P. Vishwakarma and has been published by Gower Publishing Company, Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Mathematics categories.
Data Driven Prediction For Industrial Processes And Their Applications
DOWNLOAD
Author : Jun Zhao
language : en
Publisher: Springer
Release Date : 2018-08-20
Data Driven Prediction For Industrial Processes And Their Applications written by Jun Zhao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-20 with Computers categories.
This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.
Dynamic Programming And Its Application To Optimal Control
DOWNLOAD
Author :
language : en
Publisher: Elsevier
Release Date : 1971-10-11
Dynamic Programming And Its Application To Optimal Control written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-10-11 with Mathematics categories.
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering
Ordinary Differential Equations And Applications
DOWNLOAD
Author : Enrique Fernandez-cara
language : en
Publisher: World Scientific
Release Date : 2023-07-26
Ordinary Differential Equations And Applications written by Enrique Fernandez-cara and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Mathematics categories.
Differential equations can bring mathematics to life, describing phenomena originating in physics, chemistry, biology, economics, and more. Used by scientists and engineers alike, differential equations are also the starting point of much purely mathematical activity. They also play a role in the formulation and resolution of problems in harmonic analysis, differential geometry, and probability calculus. A large part of functional analysis has therefore been motivated by the need to solve questions in the analysis of differential systems, as with numerical analysis.Differential equations are doubly relevant, then: as significant in many areas of mathematics, and as important machinery for applying mathematics to real-world problems. This book therefore aims to provide a rigorous introduction to the theoretical study of differential equations, and to demonstrate their utility with applications in many fields.Ordinary Differential Equations and Applications originates from several courses given by the author for decades at the University of Seville. It aims to bring together rigorous mathematical theory and the rich variety of applications for differential equations. The book examines many aspects of differential equations: their existence, uniqueness, and regularity, alongside their continuous dependence on data and parameters. Delving into permanent interpretation of the laws of differential equations, we also look at the role of data and how their solutions behave. Each chapter finishes with a collection of exercises, many of which also contain useful hints.
Control And Dynamic Systems V30 Advances In Algorithms And Computational Techniques In Dynamic System Control Part 3 Of 3
DOWNLOAD
Author : C.T. Leonides
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Control And Dynamic Systems V30 Advances In Algorithms And Computational Techniques In Dynamic System Control Part 3 Of 3 written by C.T. Leonides and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.
Control and Dynamic Systems: Advances in Theory in Applications, Volume 30: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This volume begins with the issue of decision making or optimal control in the natural environment. It then discusses large-scale systems composed of multiple sensors; algorithms for systems with multiplicative noise; stochastic differential games; Markovian targets; low-cost microcomputer and true digital control systems; and algorithms for the design of teleoperated systems. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.
Essentials Of Time Series Econometrics
DOWNLOAD
Author : Rajat Chopra
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Essentials Of Time Series Econometrics written by Rajat Chopra 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.
"Essentials of Time Series Econometrics" explores the fundamental principles, methodologies, and practical applications of time series analysis in economics, finance, and related fields. Designed for students, researchers, and practitioners, this guide covers both theoretical foundations and practical techniques used to analyze temporal data and make informed decisions. We cover a wide range of topics, including basic concepts such as stationarity and autocorrelation, as well as advanced techniques like machine learning approaches, Bayesian analysis, and high-frequency data analysis. Each chapter provides clear explanations of key concepts, methodologies, and mathematical principles. Real-world examples and case studies illustrate the application of time series analysis in various domains. Hands-on exercises and practical assignments reinforce understanding and develop analytical skills. Contributions from leading experts ensure readers benefit from the latest research findings. A companion website offers additional resources, including datasets, code examples, and supplementary materials. This book is ideal for students, researchers, and practitioners looking to build a solid foundation in time series econometrics or apply advanced techniques to real-world problems.
Artificial Intelligence Algorithms And Applications
DOWNLOAD
Author : Kangshun Li
language : en
Publisher: Springer Nature
Release Date : 2020-05-25
Artificial Intelligence Algorithms And Applications written by Kangshun Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-25 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019. The 65 papers presented were carefully reviewed and selected from the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.