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» BDD minimization for approximate computing
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DATE
2010
IEEE
131views Hardware» more  DATE 2010»
15 years 5 months ago
Spinto: High-performance energy minimization in spin glasses
—With the prospect of atomic-scale computing, we study cumulative energy profiles of spin-spin interactions in nonferromagnetic lattices (Ising spin-glasses)—an established to...
Héctor J. Garcia, Igor L. Markov
110
Voted
SIAMJO
2000
88views more  SIAMJO 2000»
14 years 12 months ago
A Feasible BFGS Interior Point Algorithm for Solving Convex Minimization Problems
Abstract. We propose a BFGS primal-dual interior point method for minimizing a convex function on a convex set defined by equality and inequality constraints. The algorithm generat...
Paul Armand, Jean Charles Gilbert, Sophie Jan-J&ea...
CIKM
2000
Springer
15 years 4 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
SODA
2012
ACM
217views Algorithms» more  SODA 2012»
13 years 2 months ago
Deterministic construction of an approximate M-ellipsoid and its applications to derandomizing lattice algorithms
We give a deterministic O(log n)n -time and space algorithm for the Shortest Vector Problem (SVP) of a lattice under any norm, improving on the previous best deterministic nO(n) -...
Daniel Dadush, Santosh Vempala
FOCS
2007
IEEE
15 years 6 months ago
On the Hardness and Smoothed Complexity of Quasi-Concave Minimization
In this paper, we resolve the smoothed and approximative complexity of low-rank quasi-concave minimization, providing both upper and lower bounds. As an upper bound, we provide th...
Jonathan A. Kelner, Evdokia Nikolova