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Algorithms in Algebraic Geometry, Alicia Dickenstein; Frank-Olaf Schreyer; Andrew J.


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Цена: 18167.00р.
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Автор: Alicia Dickenstein; Frank-Olaf Schreyer; Andrew J.
Название:  Algorithms in Algebraic Geometry
ISBN: 9781441925831
Издательство: Springer
Классификация: ISBN-10: 144192583X
Обложка/Формат: Paperback
Страницы: 176
Вес: 0.25 кг.
Дата издания: 2007
Серия: The IMA Volumes in Mathematics and its Applications
Язык: English
Размер: 234 x 156 x 10
Читательская аудитория: Science
Ссылка на Издательство: Link
Поставляется из: Германии
Описание:

In the last decade, there has been a burgeoning of activity in the design and implementation of algorithms for algebraic geometric computation. The workshop on Algorithms in Algebraic Geometry that was held in the framework of the IMA Annual Program Year in Applications of Algebraic Geometry by the Institute for Mathematics and Its Applications on September 2006 is one tangible indication of the interest. This volume of articles captures some of the spirit of the IMA workshop.




Algorithms in Bioinformatics

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Applied Algebra, Algebraic Algorithms and Error-Correcting Codes

Автор: Maria Bras-Amor?s; Tom H?holdt
Название: Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
ISBN: 3642021808 ISBN-13(EAN): 9783642021800
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book constitutes the refereed proceedings of the 18th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, AAECC-18, held in Tarragona, Spain, in June 2009. Among the subjects addressed are block codes, including list-decoding algorithms; algebra and codes: rings, fields, algebraic geometry codes;

Distributed Algorithms,

Автор: Nancy A. Lynch
Название: Distributed Algorithms,
ISBN: 1558603484 ISBN-13(EAN): 9781558603486
Издательство: Elsevier Science
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Цена: 20549.00 р.
Наличие на складе: Поставка под заказ.

Описание: A guide to designing, implementing and analyzing distributed algorithms. It covers problems including resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election and global snapshots.

Algorithms in combinatorial geometry

Автор: Edelsbrunner
Название: Algorithms in combinatorial geometry
ISBN: 354013722X ISBN-13(EAN): 9783540137221
Издательство: Springer
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Цена: 18161.00 р.
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Описание: This book offers a modern approach to computational geo- metry, an area thatstudies the computational complexity of geometric problems. Combinatorial investigations play an important role in this study.

Algorithms in Combinatorial Geometry

Автор: Edelsbrunner Herbert
Название: Algorithms in Combinatorial Geometry
ISBN: 3642648738 ISBN-13(EAN): 9783642648731
Издательство: Springer
Цена: 18161.00 р.
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Applied Algebra, Algebraic Algorithms and Error-Correcting Codes

Автор: Serdar Boztas; Hsiao-feng Lu
Название: Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
ISBN: 3540772235 ISBN-13(EAN): 9783540772231
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 17th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, AAECC-17, held in Bangalore, India, in December 2007. This book presents 33 revised full papers together with 8 invited papers that were reviewed and selected from 61 submissions.

Commutative Algebra and Noncommutative Algebraic Geometry

Автор: Eisenbud
Название: Commutative Algebra and Noncommutative Algebraic Geometry
ISBN: 110714972X ISBN-13(EAN): 9781107149724
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: In recent years there have been many significant developments in these two fields; furthermore, the boundary between them has become increasingly blurred. Based on a series of successful lectures, this two-volume series contains survey articles and research papers by experts in the field which emphasise the connections between them. Volume 2 focuses on the most recent research.

Algorithms for Obstetrics and Gynaecology

Автор: Mukhopadhyay Sambit, Morris Edward, Arulkumaran Sa
Название: Algorithms for Obstetrics and Gynaecology
ISBN: 0199651396 ISBN-13(EAN): 9780199651399
Издательство: Oxford Academ
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Цена: 7760.00 р.
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Описание: Algorithms in Obstetrics and Gynaecology presents the core knowledge needed to tackle all situations in obstetrics and gynaecology, in a structured fashion. All algorithms are designed to support rapid decision making in the most clinically relevant situations to minimise the risks of a poor outcome.

Rationality Problems in Algebraic Geometry

Автор: Pardini
Название: Rationality Problems in Algebraic Geometry
ISBN: 3319462083 ISBN-13(EAN): 9783319462080
Издательство: Springer
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Цена: 4890.00 р.
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Описание: Providing an overview of the state of the art on rationality questions in algebraic geometry, this volume gives an update on the most recent developments.


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