<--- Back to Details
First PageDocument Content
Computability theory / Theory of computation / Turing machine / Models of computation / Theoretical computer science / Computability / Algorithm / Halting problem / Reduction / Computable function / NP / Complexity class
Date: 2002-01-28 23:36:37
Computability theory
Theory of computation
Turing machine
Models of computation
Theoretical computer science
Computability
Algorithm
Halting problem
Reduction
Computable function
NP
Complexity class

Computability 1 Tao Jiang

Add to Reading List

Source URL: www.cs.ucr.edu

Download Document from Source Website

File Size: 220,30 KB

Share Document on Facebook

Similar Documents

Eleventh International Conference on  Computability, Complexity and Randomness  CCR ‘16

Eleventh International Conference on Computability, Complexity and Randomness CCR ‘16

DocID: 1v9oV - View Document

On the Weak Computability of Continuous Real Functions Matthew S. Bauer and Xizhong Zheng Department of Computer Science and Mathematics Arcadia University Glenside, PA 19038, USA {mbauer, zhengx}@arcadia.edu

On the Weak Computability of Continuous Real Functions Matthew S. Bauer and Xizhong Zheng Department of Computer Science and Mathematics Arcadia University Glenside, PA 19038, USA {mbauer, zhengx}@arcadia.edu

DocID: 1uNDW - View Document

The Computability of Relaxed Data Structures: Queues and Stacks as Examples∗ Nir Shavit† Gadi Taubenfeld‡

The Computability of Relaxed Data Structures: Queues and Stacks as Examples∗ Nir Shavit† Gadi Taubenfeld‡

DocID: 1u1Cb - View Document

Speaker: Jason Rute Title: Randomness, Brownian Motion, Riesz Capacity, and Complexity Abstract: Algorithmic randomness is a topic in computability theory which investigates which paths in a stochastic process behave ran

Speaker: Jason Rute Title: Randomness, Brownian Motion, Riesz Capacity, and Complexity Abstract: Algorithmic randomness is a topic in computability theory which investigates which paths in a stochastic process behave ran

DocID: 1sWjT - View Document

Computability and Complexity Results for a Spatial Assertion Language for Data Structures Cristiano Calcagno1,2 , Hongseok Yang3 , and Peter W. O’Hearn1 1  Queen Mary, University of London

Computability and Complexity Results for a Spatial Assertion Language for Data Structures Cristiano Calcagno1,2 , Hongseok Yang3 , and Peter W. O’Hearn1 1 Queen Mary, University of London

DocID: 1sTVM - View Document