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Estimation with applications to tracking and navig navigation - theory algorithms & software, Bar-shalom, Y


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Автор: Bar-shalom, Y
Название:  Estimation with applications to tracking and navig navigation - theory algorithms & software
ISBN: 9780471416555
Издательство: Wiley
Классификация:




ISBN-10: 047141655X
Обложка/Формат: Hardback
Страницы: 592
Вес: 0.95 кг.
Дата издания: 10.07.2001
Язык: English
Размер: 238 x 165 x 32
Читательская аудитория: Undergraduate
Подзаголовок: Theory algorithms and software
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations.

Algorithms and Programs of Dynamic Mixture Estimation

Автор: Ivan Nagy; Evgenia Suzdaleva
Название: Algorithms and Programs of Dynamic Mixture Estimation
ISBN: 3319646702 ISBN-13(EAN): 9783319646701
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models.

Generating Functions in Engineering and the Applied Sciences

Автор: Chattamvelli Rajan, Shanmugam Ramalingam
Название: Generating Functions in Engineering and the Applied Sciences
ISBN: 1681736381 ISBN-13(EAN): 9781681736389
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
Наличие на складе: Нет в наличии.
Описание:

This is an introductory book on generating functions (GFs) and their applications.

It discusses commonly encountered generating functions in engineering and applied sciences, such as ordinary generating functions (OGF), exponential generating functions (EGF), probability generating functions (PGF), etc. Some new GFs like Pochhammer generating functions for both rising and falling factorials are introduced in Chapter 2. Two novel GFs called "mean deviation generating function" (MDGF) and "survival function generating function" (SFGF), are introduced in Chapter 3. The mean deviation of a variety of discrete distributions are derived using the MDGF. The last chapter discusses a large number of applications in various disciplines including algebra, analysis of algorithms, polymer chemistry, combinatorics, graph theory, number theory, reliability, epidemiology, bio-informatics, genetics, management, economics, and statistics.

Some background knowledge on GFs is often assumed for courses in analysis of algorithms, advanced data structures, digital signal processing (DSP), graph theory, etc. These are usually provided by either a course on "discrete mathematics" or "introduction to combinatorics." But, GFs are also used in automata theory, bio-informatics, differential equations, DSP, number theory, physical chemistry, reliability engineering, stochastic processes, and so on. Students of these courses may not have exposure to discrete mathematics or combinatorics. This book is written in such a way that even those who do not have prior knowledge can easily follow through the chapters, and apply the lessons learned in their respective disciplines. The purpose is to give a broad exposure to commonly used techniques of combinatorial mathematics, highlighting applications in a variety of disciplines.


Towards a New Evolutionary Computation

Автор: Jose A. Lozano; Pedro Larra?aga; I?aki Inza; Endik
Название: Towards a New Evolutionary Computation
ISBN: 3642067042 ISBN-13(EAN): 9783642067044
Издательство: Springer
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Цена: 174130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization.

Nonparametric Estimation under Shape Constraints

Автор: Groeneboom
Название: Nonparametric Estimation under Shape Constraints
ISBN: 0521864011 ISBN-13(EAN): 9780521864015
Издательство: Cambridge Academ
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Цена: 79200.00 T
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Описание: This book treats the latest developments in the theory of order-restricted inference, with special attention to nonparametric methods and algorithmic aspects. Each chapter ends with a set of exercises of varying difficulty. The theory is illustrated with the analysis of real-life data, which are mostly medical in nature.

Parallel Algorithms for Linear Models

Автор: Erricos Kontoghiorghes
Название: Parallel Algorithms for Linear Models
ISBN: 1461370647 ISBN-13(EAN): 9781461370642
Издательство: Springer
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Цена: 93160.00 T
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Описание: The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra.

Solving nonlinear equations with iterative methods

Автор: Kelley, C. T.
Название: Solving nonlinear equations with iterative methods
ISBN: 1611977266 ISBN-13(EAN): 9781611977264
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 70230.00 T
Наличие на складе: Нет в наличии.
Описание: This user-oriented guide describes state-of-the-art methods for nonlinear equations and shows, via algorithms in pseudocode and Julia with several examples, how to choose an appropriate iterative method for a given problem and write an efficient solver or apply one written by others.A sequel to the author's Solving Nonlinear Equations with Newton's Methods (SIAM, 2003), this book contains new material on pseudo-transient continuation, mixed-precision solvers, and Anderson acceleration. It is supported by a Julia package and a suite of Jupyter notebooks and includes examples of nonlinear problems from many disciplines.This book is will be useful to researchers who solve nonlinear equations, students in numerical analysis, and the Julia community.

Emerging Applications of Differential Equations and Game Theory

Автор: Surma Zeynep Alparslan Gok, Duygy Arugaslan Cincin
Название: Emerging Applications of Differential Equations and Game Theory
ISBN: 1799801349 ISBN-13(EAN): 9781799801344
Издательство: Mare Nostrum (Eurospan)
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Цена: 201430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Branches of mathematics and advanced mathematical algorithms can help solve daily problems throughout various fields of applied sciences. Domains like economics, mechanical engineering, and multi-person decision making benefit from the inclusion of mathematics to maximize utility and cooperation across disciplines. There is a need for studies seeking to understand the theories and practice of using differential mathematics to increase efficiency and order in the modern world.

Emerging Applications of Differential Equations and Game Theory is a collection of innovative research that examines the recent advancements on interdisciplinary areas of applied mathematics. While highlighting topics such as artificial neuron networks, stochastic optimization, and dynamical systems, this publication is ideally designed for engineers, cryptologists, economists, computer scientists, business managers, mathematicians, mechanics, academicians, researchers, and students.

Calendrical Calculations

Автор: Reingold Edward M., Dershowitz Nachum
Название: Calendrical Calculations
ISBN: 1107057620 ISBN-13(EAN): 9781107057623
Издательство: Cambridge Academ
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Цена: 112990.00 T
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Описание: This unique resource now includes coverage of Unix dates, Italian time, the Akan, Icelandic, Saudi Arabian Umm al-Qura, Babylonian, Samaritan, and Nepalese calendars, plus expanded treatments of Islamic and Hebrew calendars. The astronomical functions have been rewritten for more accurate results and include calculations of moonrise and moonset.

High Performance Algorithms and Software in Nonlinear Optimization

Автор: Renato de Leone; Almerico Murli; Panos M. Pardalos
Название: High Performance Algorithms and Software in Nonlinear Optimization
ISBN: 0792354834 ISBN-13(EAN): 9780792354833
Издательство: Springer
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Цена: 176970.00 T
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Описание: Contains a selection of papers presented at the conference on High Performance Software for Nonlinear Optimization (HPSNO97) which was held in Ischia, Italy, in June, 1997. This book provides an overview of the nonlinear optimization field, including algorithms, software evaluation, implementation issues, applications, and areas of research.

Practitioner`s Knowledge Representation

Автор: Emilia Mendes
Название: Practitioner`s Knowledge Representation
ISBN: 3662511991 ISBN-13(EAN): 9783662511992
Издательство: Springer
Рейтинг:
Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The goal of this book is to help organizations improve their effort estimates and effort estimation processes by providing a step-by-step methodology that takes them through the creation and validation of models based on their own knowledge and experience.

Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking

Автор: Van Trees
Название: Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
ISBN: 0470120959 ISBN-13(EAN): 9780470120958
Издательство: Wiley
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Цена: 162690.00 T
Наличие на складе: Невозможна поставка.
Описание: Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds.  The book will be useful to both engineers and statisticians whether they are practicioners or theorists. The organization of the book and selection criteria is covered in the preface.  Each part is introduced with the contributions of each selected paper and their interrelationship. Part 1contains a short history of Reverend Thomas Bayes and his classic paper that established the field. Part 2 contains the original derivation of the Bayesian Cramer-Rao bound and a simple derivation of the multiple parameter Bayesian CRB. Part 3 discusses global Bayesian bounds to provide broad coverage of this important area. Part 4 considers the case in which some of the parameters are deterministic and some are random.  Hybrid Bayesian bounds are derived, as they are particularly important in the study of model mismatch problems. Part 5 considers generalized Cramer-Rao bounds. Part 6 discusses nonlinear stochastic dynamic systems. This type of system is a major component of most radar, sonar, and navigation systems.  They are also encountered in nonlinear filtering problems. Applications of various Bayesian bounds to static parameter estimation problems are covered in Part 7 and to dynamic systems in Part 8. The book concludes with papers from the statistics literature that focus on Bayesian bounds in various models in Part 9. 

Phase Unwrapping

Автор: Ghiglia
Название: Phase Unwrapping
ISBN: 0471249351 ISBN-13(EAN): 9780471249351
Издательство: Wiley
Рейтинг:
Цена: 186860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A resource like no other-the first comprehensive guide to phase unwrapping Phase unwrapping is a mathematical problem-solving technique increasingly used in synthetic aperture radar (SAR) interferometry, optical interferometry, adaptive optics, and medical imaging.


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