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Automated Mathematical Induction, Hantao Zhang


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Автор: Hantao Zhang
Название:  Automated Mathematical Induction
ISBN: 9789401072502
Издательство: Springer
Классификация:


ISBN-10: 9401072507
Обложка/Формат: Paperback
Страницы: 222
Вес: 0.33 кг.
Дата издания: 28.09.2011
Язык: English
Размер: 234 x 156 x 12
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: It has been shown how the common structure that defines a family of proofs can be expressed as a proof plan [5]. A proof plan has two complementary components: a proof method and a proof tactic. By prescribing the structure of a proof at the level of primitive inferences, a tactic [11] provides the guarantee part of the proof.


Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Автор: Evangelos Triantaphyllou; Giovanni Felici
Название: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
ISBN: 1441941738 ISBN-13(EAN): 9781441941732
Издательство: Springer
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Цена: 33401.00 р.
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Описание: This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications.

Automated Development of Fundamental Mathematical Theories

Автор: Art Quaife
Название: Automated Development of Fundamental Mathematical Theories
ISBN: 0792320212 ISBN-13(EAN): 9780792320210
Издательство: Springer
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Цена: 30467.00 р.
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Описание: Provides an introduction to automated reasoning, and in particular to resolution theorem proving using the prover Otter. Here, the author presents a clausal version of von Neumann-Bernays-Godel set theory, and lists over 400 theorems proved semi-automatically in elementary set theory.

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: 18167.00 р.
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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.

Quantitative Mathematical Models in Radiation Biology

Автор: J?rgen Kiefer
Название: Quantitative Mathematical Models in Radiation Biology
ISBN: 3540504532 ISBN-13(EAN): 9783540504535
Издательство: Springer
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Цена: 15372.00 р.
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Описание: It is hoped that a generally acceptable formalism will help to quantify radiation responses, both in radiation protection and radiation therapy, and make it possible to move from a purely empirical approach with all its fallacies to real understanding.

Automated Mathematical Induction

Автор: Hantao Zhang
Название: Automated Mathematical Induction
ISBN: 0792340108 ISBN-13(EAN): 9780792340102
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It has been shown how the common structure that defines a family of proofs can be expressed as a proof plan [5]. A proof plan has two complementary components: a proof method and a proof tactic. By prescribing the structure of a proof at the level of primitive inferences, a tactic [11] provides the guarantee part of the proof.

Handbook Of Mathematical Induction

Автор: Gunderson
Название: Handbook Of Mathematical Induction
ISBN: 113819901X ISBN-13(EAN): 9781138199019
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание:

Handbook of Mathematical Induction: Theory and Applications shows how to find and write proofs via mathematical induction. This comprehensive book covers the theory, the structure of the written proof, all standard exercises, and hundreds of application examples from nearly every area of mathematics.

In the first part of the book, the author discusses different inductive techniques, including well-ordered sets, basic mathematical induction, strong induction, double induction, infinite descent, downward induction, and several variants. He then introduces ordinals and cardinals, transfinite induction, the axiom of choice, Zorn's lemma, empirical induction, and fallacies and induction. He also explains how to write inductive proofs.

The next part contains more than 750 exercises that highlight the levels of difficulty of an inductive proof, the variety of inductive techniques available, and the scope of results provable by mathematical induction. Each self-contained chapter in this section includes the necessary definitions, theory, and notation and covers a range of theorems and problems, from fundamental to very specialized.

The final part presents either solutions or hints to the exercises. Slightly longer than what is found in most texts, these solutions provide complete details for every step of the problem-solving process.

Peirce`s and Lewis`s Theories of Induction

Автор: Chung-ying Cheng
Название: Peirce`s and Lewis`s Theories of Induction
ISBN: 9401185980 ISBN-13(EAN): 9789401185981
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Williams and that in Lewis by Professor Roderick Firth. Specifically, I wish to acknowledge Professor Williams for his patient and careful criticisms of the original manuscripts of this book. I also wish to thank Professor Firth and Professor Israel Scheffler for their many suggestive comments regarding my discussions of induc- tion.

Induction and Deduction in the Sciences

Автор: F. Stadler
Название: Induction and Deduction in the Sciences
ISBN: 9048165555 ISBN-13(EAN): 9789048165551
Издательство: Springer
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Цена: 27245.00 р.
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Описание: The volume contains contributions on methods of the sciences, especially on induction, deduction, abduction, laws, probability and explanation, ranging from logic, mathematics, natural to the social sciences.

Induction, Algorithmic Learning Theory, and Philosophy

Автор: Mich?le Friend; Norma B. Goethe; Valentina S. Hari
Название: Induction, Algorithmic Learning Theory, and Philosophy
ISBN: 9048175445 ISBN-13(EAN): 9789048175444
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference.

Mathematical Foundations of Computer Science 1989

Автор: Antoni Kreczmar; Grazyna Mirkowska
Название: Mathematical Foundations of Computer Science 1989
ISBN: 3540514864 ISBN-13(EAN): 9783540514862
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The present volume contains papers selected for presentation at the 14th Symposium on Mathematical Foundations of Computer Science - MFCS `89 held in Porabka-Kozubnik, Poland, from August 28 to September 1, 1989.

Abduction and Induction

Автор: P.A. Flach; Antonis Hadjiantonis
Название: Abduction and Induction
ISBN: 0792362500 ISBN-13(EAN): 9780792362500
Издательство: Springer
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Цена: 27251.00 р.
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Описание: From the very beginning of their investigation of human reasoning, philosophers have identified two other forms of reasoning, besides deduction, which is called as abduction and induction. This book addresses the relationship between abduction and induction and their possible integration, and is for philosophers, logicians, and AI researchers.

Induction, Algorithmic Learning Theory, and Philosophy

Автор: Mich?le Friend; Norma B. Goethe; Valentina S. Hari
Название: Induction, Algorithmic Learning Theory, and Philosophy
ISBN: 1402061269 ISBN-13(EAN): 9781402061264
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Includes essays that provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic of algorithmic learning theory and the epistemology of science, both from a philosophical and a mathematical viewpoint.


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