Vinay Deolalikar, Hernan Laffitte: Extensive large-scale study of error surfaces in sampling-based distinct value estimators for databases. IEEE BigData 2016: 1579-1586 [i1] Vinay Deolalikar, Hernan Laffitte: Extensive Large-Scale Study of Error in Samping-Based Distinct Value Estimators for Databases. CoRR abs/1612.00476 ( 2016) 2015 [c24] filexlib. Two prominent computer scientists have pointed out potentially "fatal flaws" in the draft proof by Vinay Deolalikar of Hewlett-Packard Labs in Palo Alto, California. Since the 100-page proof Rajaram Deolalikar and Smt. Vimal Deolalikar, for their struggle to educate my father inspite of extreme poverty. This work is part of my Matru-Pitru Rin1. I am forever indebted to my wife for her faith during these years. life. 1 We demonstrate the separation of the complexity class NP from its subclass
As of this writing, Vinay Deolalikar still hasn't retracted his P≠NP claim, but a clear consensus has emerged that the proof, as it stands, is fatally flawed. The first reason is that we're not going to separate k-SAT from much easier problems purely by looking at the structure of the solution space: see for example this comment by Ryan Williams.
Vinay Deolalikar, an Indian scientist working at HP Labs in California, recently proposed a solution to the problem which is being referred by mathematicians as Is P=NP?,'. He provided the
He wrote a number of authoritative surveys on subjects like well-solvable cases of the traveling salesman problem (Burkard et al., 1998 ), online algorithms (Csirik et al., 1998 ), and exact algorithms for NP-hard problems (Woeginger et al., 2003 ). He published more than 400 papers, about eighty of which are on scheduling. Vinay Deolalikar's 54 research works with 720 citations and 2,502 reads, including: Islands of Interest: Mining Concentrations of User Search Intent over e-Commerce Product Categories
@MISC{Deolalikar_p̸, author = {Vinay Deolalikar}, title = {P ̸ = NP}, year = {}} Share. OpenURL . Abstract. We demonstrate the separation of the complexity class NP from its subclass P. Throughout our proof, we observe that the ability to compute a property on structures in polynomial time is intimately related to the statistical notions of
Semantic Scholar profile for V. Deolalikar, with 63 highly influential citations and 51 scientific research papers. Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 205,588,379 papers from all fields of science. Search Has PDF. More Filters.
Deolslikar that Statistical Physics, Information Theory, and the Theory of Deolalikaar has had it Woodstock, perhaps we will be seeing more of one another. It is easy to see that if we allow additional parameters, we can indeed do a parametrization which is polylog. Advances in linear and integer programming.
The P versus NP problem is a major unsolved problem in theoretical computer science.In informal terms, it asks whether every problem whose solution can be quickly verified can also be quickly solved. The informal term quickly, used above, means the existence of an algorithm solving the task that runs in polynomial time, such that the time to complete the task varies as a polynomial function on
Publication Years. 2001 - 2015. Available for Download. 6. Average Downloads per Article. 122. Downloads (6 weeks) 6. Downloads (12 months)
Publication Years. 2001 - 2015. Available for Download. 6. Average Downloads per Article. 122. Downloads (6 weeks) 6. Downloads (12 months)

Vinay deolalikar p np