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Mathematical Problem Solving and New Information Technologies, Joao P. Ponte; Joao F. Matos; Jose M. Matos; Domin


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Цена: 194730.00T
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Склад Америка: 189 шт.  
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Автор: Joao P. Ponte; Joao F. Matos; Jose M. Matos; Domin
Название:  Mathematical Problem Solving and New Information Technologies
ISBN: 9783540557357
Издательство: Springer
Классификация:
ISBN-10: 3540557350
Обложка/Формат: Hardcover
Страницы: 346
Вес: 0.69 кг.
Дата издания: 11.08.1992
Серия: Nato ASI Subseries F:
Язык: English
Размер: 234 x 156 x 22
Основная тема: Computer Science
Подзаголовок: Research in Contexts of Practice
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book includes the revised papers presented at the NATO ARW Information Technology and Mathematical Problem Solving Research, held in April 1991, in Viana do Castelo, Portugal, which focused on the implications of computerized learning environments and cognitive psychology research for these mathematical activities.

Basics of moderm mathematical Statistics

Автор: Spokoiny Vladimir, Dickhaus Thorsten
Название: Basics of moderm mathematical Statistics
ISBN: 366251348X ISBN-13(EAN): 9783662513484
Издательство: Springer
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Цена: 52170.00 T
Наличие на складе: Есть
Описание: The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics.

Mathematical Introduction to Compressive Sensing

Автор: Foucart Simon
Название: Mathematical Introduction to Compressive Sensing
ISBN: 0817649476 ISBN-13(EAN): 9780817649470
Издательство: Springer
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Цена: 65210.00 T
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Course in Mathematical Statistics and Large Sample Theory

Название: Course in Mathematical Statistics and Large Sample Theory
ISBN: 1493940309 ISBN-13(EAN): 9781493940301
Издательство: Springer
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Цена: 62410.00 T
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Описание: This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.

Mathematical Morphology and Its Applications to Signal and Image Processing

Автор: J?n Atli Benediktsson; Jocelyn Chanussot; Laurent
Название: Mathematical Morphology and Its Applications to Signal and Image Processing
ISBN: 3319187198 ISBN-13(EAN): 9783319187198
Издательство: Springer
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Цена: 81990.00 T
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Описание: This book contains the thoroughly refereed proceedings of the 12th International Symposium on Mathematical Morphology, ISMM 2015 held in Reykjavik, Iceland, in May 2015. The 62 revised full papers were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on evaluations and applications;

Basics of Modern Mathematical Statistics

Название: Basics of Modern Mathematical Statistics
ISBN: 3642399088 ISBN-13(EAN): 9783642399084
Издательство: Springer
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Цена: 69870.00 T
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Описание: The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics.

Mathematical Modeling and Signal Processing in Speech and Hearing Sciences

Автор: Jack Xin; Yingyong Qi
Название: Mathematical Modeling and Signal Processing in Speech and Hearing Sciences
ISBN: 3319354167 ISBN-13(EAN): 9783319354163
Издательство: Springer
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Цена: 88500.00 T
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Описание: This advanced textbook offers a user friendly and systematic introduction to mathematical models in speech and hearing sciences. It features step-by-step analysis of models and computational methods from numerical analysis, signal processing and statistics.

Mathematical and Statistical Methods for Insurance and Finance

Автор: Cira Perna; Marilena Sibillo
Название: Mathematical and Statistical Methods for Insurance and Finance
ISBN: 8847056012 ISBN-13(EAN): 9788847056015
Издательство: Springer
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Цена: 88500.00 T
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Описание: The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective.

Problems in Set Theory, Mathematical Logic and the Theory of Algorithms

Автор: G. Corsi; Igor Lavrov; Larisa Maksimova
Название: Problems in Set Theory, Mathematical Logic and the Theory of Algorithms
ISBN: 1461349575 ISBN-13(EAN): 9781461349570
Издательство: Springer
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Цена: 93160.00 T
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Описание: Problems in Set Theory, Mathematical Logic and the Theory of Algorithms by I. It covers major classical topics in proof theory and the semantics of propositional and predicate logic as well as set theory and computation theory.

Mathematical Software – ICMS 2016

Автор: Greuel
Название: Mathematical Software – ICMS 2016
ISBN: 3319424319 ISBN-13(EAN): 9783319424316
Издательство: Springer
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Цена: 68950.00 T
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Описание: This book constitutes the proceedings of the 5th International Conference on Mathematical Software, ICMS 2015, held in Berlin, Germany, in July 2016. The 68 papers included in this volume were carefully reviewed and selected from numerous submissions. information services for mathematics: software, services, models, and data;

Mathematical Logic For Computer Science (2Nd Edition)

Автор: Lu Zhongwan
Название: Mathematical Logic For Computer Science (2Nd Edition)
ISBN: 9810230915 ISBN-13(EAN): 9789810230913
Издательство: World Scientific Publishing
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Цена: 72870.00 T
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Описание: Mathematical logic is essentially related to computer science. This book describes the aspects of mathematical logic that are closely related to each other, including classical logic, constructive logic, and modal logic. This book is intended to attend to both the peculiarities of logical systems and the requirements of computer science.In this edition, the revisions essentially involve rewriting the proofs, increasing the explanations, and adopting new terms and notations.

Mathematical Problems in Image Processing

Автор: Gilles Aubert; Pierre Kornprobst
Название: Mathematical Problems in Image Processing
ISBN: 1441921826 ISBN-13(EAN): 9781441921826
Издательство: Springer
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Цена: 93160.00 T
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Описание: The 2nd edition presents image analysis applications, outlines their precise mathematics and shows how to discretize them. It reviews progress in image processing applications covered by the PDE framework, and updates the existing material. Also provides programming tools for creating simulations.

Mathematical Problems in Image Processing

Автор: Aubert
Название: Mathematical Problems in Image Processing
ISBN: 0387322000 ISBN-13(EAN): 9780387322001
Издательство: Springer
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Цена: 121110.00 T
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Описание: The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical questions.


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