An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models. This book aims to answer questions that arise when statisticians are first confronted with this type o…
A Petri net is a mathematical representation of a network. This book first introduces the basic models including time and stochastic extensions, in particular place-transition and high level Petri nets. Their modeling and design capabilities are illustrated by a set of representations of interest in operating and communication systems. The volume then addresses the related verification problems an…
A Petri net is a mathematical representation of a network. This book first introduces the basic models including time and stochastic extensions, in particular place-transition and high level Petri nets. Their modeling and design capabilities are illustrated by a set of representations of interest in operating and communication systems. The volume then addresses the related verification problems an…
Книга посвящена разработке распределенных естественных вычислительных моделей в среде многоагентного моделирования NetLogo. В основу этого учебного пособия положены материалы двух курсов, которые автор на протяжении последних десяти лет читает в Московском государственном университете и университете «Дубна» студентам, обучающимся по специальности «Прикладная математика и информатика». Рассматриваю…
This introduction to the field contains a careful selection of topics and examples without sacrificing scientific strictness. The author guides readers through mathematical modelling, the theoretical treatment of the underlying physical laws and the construction and effective use of numerical procedures to describe the behaviour of the dynamics of physical flow. Both students and experts intending…
This introduction to the field contains a careful selection of topics and examples without sacrificing scientific strictness. The author guides readers through mathematical modelling, the theoretical treatment of the underlying physical laws and the construction and effective use of numerical procedures to describe the behaviour of the dynamics of physical flow. Both students and experts intending…
This introduction to the field contains a careful selection of topics and examples without sacrificing scientific strictness. The author guides readers through mathematical modelling, the theoretical treatment of the underlying physical laws and the construction and effective use of numerical procedures to describe the behaviour of the dynamics of physical flow. Both students and experts intending…
This introduction to the field contains a careful selection of topics and examples without sacrificing scientific strictness. The author guides readers through mathematical modelling, the theoretical treatment of the underlying physical laws and the construction and effective use of numerical procedures to describe the behaviour of the dynamics of physical flow. Both students and experts intending…
A comprehensive, self-contained treatment presenting general results of the theory. Establishes a geometric intuition and a working facility with specific geometric practices. Emphasizes applications through the study of interesting examples and the development of computational tools. Coverage ranges from analytic to geometric. Treats basic techniques and results of complex manifold theory, focusi…
Исследуем уникальную формулу для оптимизации производительности компьютерных систем и оценки нагрузки. Объясняется значение каждого параметра и предлагаются способы расчета. Приводятся примеры использования формулы на практике и создания алгоритмов. Выводы подчеркивают важность использования формулы для оптимизации систем и принятия эффективных решений.
Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference …
Проект «Университеты России» позволит высшим учебным заведениям нашей страны использовать в образовательном процессе издания (в том числе учебники и учебные пособия) по различным дисциплинам, подготовленные преподавателями лучших университетов России и впервые опубликованные в издательствах вузов. Все представленные в этой серии работы прошли экспертную оценку учебно-методического отдела издательс…
An accessible and practical introduction to wavelets With applications in image processing, audio restoration, seismology, and elsewhere, wavelets have been the subject of growing excitement and interest over the past several years. Unfortunately, most books on wavelets are accessible primarily to research mathematicians. Discovering Wavelets presents basic and advanced concepts of wavelets in a w…
В работе применена скалярно-параметрическая форма описания ортогональных проекций геометрических фигур. Математический аппарат базируется на методах аналитической геометрии, которым ставятся в соответствие традиционные графические алгоритмы как представления геометрических объектов различных классов, так и решения позиционных и метрических задач. Рекомендуется студентам, аспирантам, преподавателям…
This book provides a detailed study of Financial Mathematics. In addition to the extraordinary depth the book provides, it offers a study of the axiomatic approach that is ideally suited for analyzing financial problems. This book is addressed to MBA's, Financial Engineers, Applied Mathematicians, Banks, Insurance Companies, and Students of Business School, of Economics, of Applied Mathematics, of…