Ordinal Analysis with an Introduction to Proof Theory, Arai Toshiyasu
Автор: Nederpelt Название: Type Theory and Formal Proof ISBN: 110703650X ISBN-13(EAN): 9781107036505 Издательство: Cambridge Academ Рейтинг: Цена: 10611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Type theory is a fast-evolving field at the crossroads of logic, computer science and mathematics. This book provides a gentle step-by-step introduction in the art of formalizing mathematics on the basis of type theory. It is suitable for a broad audience, ranging from undergraduate students to researchers.
Автор: Mancosu, Paolo (uc Berkeley) Galvan, Sergio (catholic University Of Milan) Zach, Richard (university Of Calgary) Название: Introduction to proof theory ISBN: 019289594X ISBN-13(EAN): 9780192895943 Издательство: Oxford Academ Рейтинг: Цена: 3960.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Proof Theory provides an accessible introduction to the theory of proofs, with details of proofs worked out and examples and exercises to aid the reader`s understanding.
Автор: J. Stoer; R. Bartels; W. Gautschi; R. Bulirsch; C. Название: Introduction to Numerical Analysis ISBN: 038795452X ISBN-13(EAN): 9780387954523 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: New edition of a well-known classic in the field; Previous edition sold over 6000 copies worldwide; Fully-worked examples; Many carefully selected problems
Описание: This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools.
Описание: An Introduction to Proof Theory provides an accessible introduction to the theory of proofs, with details of proofs worked out and examples and exercises to aid the reader`s understanding.
Описание: This book explains the first published consistency proof of PA. A notable aspect of the proof is the representation of ordinal numbers that was developed by Gentzen. The topic should interest researchers and students who work on proof theory, history of proof theory or Hilbert`s program and who do not mind reading mathematical texts.ГЇВїВЅ
Автор: Arai, Toshiyasu Название: Ordinal analysis with an introduction to proof theory ISBN: 9811564582 ISBN-13(EAN): 9789811564581 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Calculi for classical logic.- Cut-elimination in depth.- Epsilon numbers.- Iterations.- Collapsings.
Описание: Ordinal Computability discusses models of computation obtained by generalizing classical models, such as Turing machines or register machines, to transfinite working time and space. In particular, recognizability, randomness, and applications to other areas of mathematics are covered.
Автор: Gerhard Winkler Название: Image Analysis, Random Fields and Dynamic Monte Carlo Methods ISBN: 3642975240 ISBN-13(EAN): 9783642975240 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text is concerned with a probabilistic approach to image analysis as initiated by U. It formally adopts the Bayesian paradigm and therefore is referred to as `Bayesian Image Analysis`. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
Автор: Mitsotakis, Dimitrios Название: Computational Mathematics ISBN: 1032262397 ISBN-13(EAN): 9781032262390 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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