The top documents tagged [input size n]

CSE 143 Lecture 8 Complexity slides created by Ethan Apter
Documents CSE 143 Lecture 8 Complexity slides created by Ethan Apter

220 views

Complexity ©D Moshkovitz 1 Approximation Algorithms Is Close Enough Good Enough?
Documents Complexity ©D Moshkovitz 1 Approximation Algorithms Is Close Enough Good Enough?

229 views

Models of Exact Algorithms for NP-Hard Problems Rahul Santhanam University of Edinburgh
Documents Models of Exact Algorithms for NP-Hard Problems Rahul Santhanam University of Edinburgh

216 views

Asymptotic Anaylsis 1 COSC 483 Asymptotic Analysis (based on slides used at UMBC)
Documents Asymptotic Anaylsis 1 COSC 483 Asymptotic Analysis (based on slides used at UMBC)

222 views

Robotics Reprise: piano movers’ problem. Locomotion Lab session Homework: postings. Work on projects
Documents Robotics Reprise: piano movers’ problem. Locomotion Lab session Homework: postings. Work on projects

216 views

Beating Brute Force Search for Formula SAT and QBF SAT Rahul Santhanam University of Edinburgh
Documents Beating Brute Force Search for Formula SAT and QBF SAT Rahul Santhanam University of Edinburgh

227 views

What can we do in sublinear time? 0368.4612 Seminar on Sublinear Time Algorithms Lecture 1 Ronitt Rubinfeld
Documents What can we do in sublinear time? 0368.4612 Seminar on Sublinear Time Algorithms Lecture 1 Ronitt Rubinfeld

222 views

–Def: A language L is in BPP c,s ( 0 s(n) c(n) 1, n N) if there exists a probabilistic poly-time TM M s.t. : 1. w L, Pr[M accepts w] c(|w|),
Documents –Def: A language L is in BPP c,s ( 0 s(n) c(n) 1, n N) if there exists a probabilistic poly-time TM M s.t. : 1. w L, Pr[M accepts w] c(|w|),

213 views

02/07/2015Applied Algorithmics - week21 Recursive Algorithms In this technique, we define a procedure that is allowed to make calls to itself as a subroutine
Documents 02/07/2015Applied Algorithmics - week21 Recursive Algorithms In this technique, we define a procedure that is allowed to make calls to itself as a subroutine

220 views

CSE 220 (Data Structures and Analysis of Algorithms) Instructor: Saswati Sarkar (swati@ee.upenn.edu) T.A. Dimosthenes Anthomelidis (anthomel@gradient.cis.upenn.edu)
Documents CSE 220 (Data Structures and Analysis of Algorithms) Instructor: Saswati Sarkar ([email protected]) T.A. Dimosthenes Anthomelidis ([email protected])

223 views

COSC 3100 Fundamentals of Analysis of Algorithm Efficiency Instructor: Tanvir
Documents COSC 3100 Fundamentals of Analysis of Algorithm Efficiency Instructor: Tanvir

239 views

1 Approximation Algorithms. 2 Motivation By now we’ve seen many NP-Complete problems. We conjecture none of them has polynomial time algorithm
Documents 1 Approximation Algorithms. 2 Motivation By now we’ve seen many NP-Complete problems. We conjecture none of them has polynomial time algorithm

214 views