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(Ebook) Handbook of Computability and Complexity in Analysis (Theory and Applications of Computability) by Vasco Brattka (editor), Peter Hertling (editor) ISBN 9783030592332, 3030592332

  • SKU: EBN-51224878
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Instant download (eBook) Handbook of Computability and Complexity in Analysis (Theory and Applications of Computability) after payment.
Authors:Vasco Brattka (editor), Peter Hertling (editor)
Pages:452 pages.
Year:2021
Editon:1st ed. 2021
Publisher:Springer
Language:english
File Size:3.31 MB
Format:pdf
ISBNS:9783030592332, 3030592332
Categories: Ebooks

Product desciption

(Ebook) Handbook of Computability and Complexity in Analysis (Theory and Applications of Computability) by Vasco Brattka (editor), Peter Hertling (editor) ISBN 9783030592332, 3030592332

Computable analysis is the modern theory of computability and complexity in analysis that arose out of Turing's seminal work in the 1930s. This was motivated by questions such as: which real numbers and real number functions are computable, and which mathematical tasks in analysis can be solved by algorithmic means?Nowadays this theory has many different facets that embrace topics from computability theory, algorithmic randomness, computational complexity, dynamical systems, fractals, and analog computers, up to logic, descriptive set theory, constructivism, and reverse mathematics. In recent decades computable analysis has invaded many branches of analysis, and researchers have studied computability and complexity questions arising from real and complex analysis, functional analysis, and the theory of differential equations, up to (geometric) measure theory and topology.This handbook represents the first coherent cross-section through most active research topics on the more theoretical side of the field. It contains 11 chapters grouped into parts on computability in analysis; complexity, dynamics, and randomness; and constructivity, logic, and descriptive complexity. All chapters are written by leading experts working at the cutting edge of the respective topic. Researchers and graduate students in the areas of theoretical computer science and mathematical logic will find systematic introductions into many branches of computable analysis, and a wealth of information and references that will help them to navigate the modern research literature in this field.
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