Algorithmic Randomness and Complexity

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Springer Science & Business Media, Oct 29, 2010 - Computers - 855 pages
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This book is concerned with the theory of computability and complexity over the real numbers. This theory was initiated by Turing, Grzegorczyk, Lacombe, Banach and Mazur and has seen rapid growth in recent years. Computability and complexity theory are two central areas of research in theoretical computer science. Until recently, most work in these areas concentrated on problems over discrete structures, but there has been enormous growth of computability theory and complexity theory over the real numbers and other continuous structures, especially incorporating concepts of "randomness." One reason for this growth is that more and more computation problems over the real numbers are being dealt with by computer scientists--in computational geometry and in the modeling of dynamical and hybrid systems. Scientists working on these questions come from such diverse fields as theoretical computer science, domain theory, logic, constructive mathematics, computer arithmetic, numerical mathematics, and analysis. An essential resource for all researchers in theoretical computer science, logic, computability theory and complexity.
 

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Contents

Part II Notions of Randomness
225
Part III Relative Randomness
403
Part IV Further Topics
667
References
767
Index
797
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