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Knowledge, Theory of. --- Science --- Mathematics --- Philosophy. --- Logic of mathematics --- Mathematics, Logic of --- Normal science --- Philosophy of science --- Epistemology --- Theory of knowledge --- Philosophy --- Psychology --- Knowledge, Theory of
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Using basic category theory, this Element describes all the central concepts and proves the main theorems of theoretical computer science. Category theory, which works with functions, processes, and structures, is uniquely qualified to present the fundamental results of theoretical computer science. In this Element, readers will meet some of the deepest ideas and theorems of modern computers and mathematics, such as Turing machines, unsolvable problems, the P=NP question, Kurt Gödel's incompleteness theorem, intractable problems, cryptographic protocols, Alan Turing's Halting problem, and much more. The concepts come alive with many examples and exercises.
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Er zijn veel boeken die uitleggen wat we weten over het heelal. Dit boek beschrijft wat we nooit zullen weten niet omdat we beperkt worden door kennis of techniek, maar omdat het voor de mens onmogelijk is om te begrijpen.Vragen als: wat was er vóór de tijd? Wat is er achter de ruimte? Waarom is oneindigheid een relatief begrip? En als iets oneindig is, waarom past er dan nog iets bij?Of het nu op het gebied van taal of filosofie is, van natuurkunde of sterrenkunde: we lopen steeds op dezelfde manier vast in onze redenering. Zo loop je aan tegen de grenzen van wat een mens kan begrijpen, en kom je dicht bij het wezen van het menselijk bewustzijn. Dat wat we niet begrijpen, laat zien wie we zijn.
Connaissance [Théorie de la ] --- Epistemologie --- Epistemology --- Epistémologie --- Kenleer --- Kennisleer --- Kennistheorie --- Kentheorie --- Knowledge [Theory of ] --- Theorie of knowledge --- Theorievorming --- Théorie de la connaissance --- 165.0 --- Het probleem van kennis in het algemeen --- Science --- Philosophy --- Mathematics --- 159.9 --- 159.9 Psychologie --- Psychologie --- 159.9 Psychology --- Psychology
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The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible yet rigorous fashion, this book employs ideas and techniques familiar to every student of computer science. The reader is not expected to have any advanced mathematics or physics background. After presenting the necessary prerequisites, the material is organized to look at different aspects of quantum computing from the specific standpoint of computer science. There are chapters on computer architecture, algorithms, programming languages, theoretical computer science, cryptography, information theory, and hardware. The text has step-by-step examples, more than two hundred exercises with solutions, and programming drills that bring the ideas of quantum computing alive for today's computer science students and researchers.
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