Results 221 to 230 of about 2,646,616 (265)
Restricted Network Reconstruction from Time Series via Dempster-Shafer Evidence Theory. [PDF]
Zhang C, Xian Y, Yuan X, Li M, Zhang Q.
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Quantum kernel methods for marketing analytics with convergence theory and separation bounds. [PDF]
Sáez Ortuño L +2 more
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How does human-AI collaboration task complexity affect employee work engagement? The roles of humble leadership and AI self-efficacy. [PDF]
Wang B, Liu S, Luo C.
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Oberwolfach Reports, 2006
The workshop Complexity Theory was organised by Joachim von zur Gathen (Bonn), Oded Goldreich (Rehovot), Claus-Peter Schnorr (Frankfurt), and Madhu Sudan (Cambridge). The workshop was held on June 5th–11th 2005, and attended by approximately 50 participants spanning a wide range of interests ...
Joachim von zur Gathen +3 more
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The workshop Complexity Theory was organised by Joachim von zur Gathen (Bonn), Oded Goldreich (Rehovot), Claus-Peter Schnorr (Frankfurt), and Madhu Sudan (Cambridge). The workshop was held on June 5th–11th 2005, and attended by approximately 50 participants spanning a wide range of interests ...
Joachim von zur Gathen +3 more
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Proceedings of the twenty-fifth annual ACM symposium on Theory of computing - STOC '93, 1993
Summary: We study quantum computation from a complexity theoretic viewpoint. Our first result is the existence of an efficient universal quantum Turing machine in Deutsch's model of a quantum Turing machine (QTM) [\textit{D. Deutsch}, Proc. Roy. Soc. Lond. Ser. A 400, 97-117 (1985)].
Bernstein, Ethan, Vazirani, Umesh
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Summary: We study quantum computation from a complexity theoretic viewpoint. Our first result is the existence of an efficient universal quantum Turing machine in Deutsch's model of a quantum Turing machine (QTM) [\textit{D. Deutsch}, Proc. Roy. Soc. Lond. Ser. A 400, 97-117 (1985)].
Bernstein, Ethan, Vazirani, Umesh
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2018
Computational Complexity Theory is the mathematical study of the intrinsic power and limitations of computational resources like time, space, or randomness. The current workshop focused on recent developments in various sub-areas including arithmetic complexity, Boolean complexity, communication complexity, cryptography, probabilistic proof systems ...
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Computational Complexity Theory is the mathematical study of the intrinsic power and limitations of computational resources like time, space, or randomness. The current workshop focused on recent developments in various sub-areas including arithmetic complexity, Boolean complexity, communication complexity, cryptography, probabilistic proof systems ...
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2011
This book chapter is not available through ChesterRep. ; This book chapter discusses complexity and how complexity relates to healthcare education.
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This book chapter is not available through ChesterRep. ; This book chapter discusses complexity and how complexity relates to healthcare education.
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2005
Computational Complexity Theory is the mathematical study of resources like time, space, or randomness that are required to solve computational problems. The current workshop was focused on recent developments, and the interplay between randomness and computation played a central role in many of them.
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Computational Complexity Theory is the mathematical study of resources like time, space, or randomness that are required to solve computational problems. The current workshop was focused on recent developments, and the interplay between randomness and computation played a central role in many of them.
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P versus NP). Description: Determine whether every problem whose solu-tion can be verified in polynomial time can also be solved in polynomial time. In other words,is:P = NP ?Details:• P = {L ⊆ {0, 1}∗ | ∃ a deterministic Turing machine M and k ∈ N such that ∀x ∈{0, 1}∗, x ∈ L ⇐⇒ M (x) accepts in O(|x|k)}.• NP = {L ⊆ {0, 1}∗ | ∃ a nondeterministic ...
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