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ASPDAC
2005
ACM
110views Hardware» more  ASPDAC 2005»
13 years 7 months ago
Compact and stable modeling of partial inductance and reluctance matrices
Abstract— The sparsification of the reluctance matrix L−1 (where L denotes the usual inductance matrix L) has been widely used in several recent investigations to make the pro...
Hong Li, Venkataramanan Balakrishnan, Cheng-Kok Ko...
ICML
2010
IEEE
13 years 6 months ago
A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, His...
ICCAD
2003
IEEE
141views Hardware» more  ICCAD 2003»
14 years 2 months ago
Passive Synthesis of Compact Frequency-Dependent Interconnect Models via Quadrature Spectral Rules
In this paper, we present a reduced order inodeling methodology, based on the utilization of optimal non-uniform grids generated by Gaussian spectral rules, for the direct passive...
Traianos Yioultsis, Anne Woo, Andreas C. Cangellar...
AAAI
1996
13 years 6 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
CPM
2010
Springer
180views Combinatorics» more  CPM 2010»
13 years 10 months ago
Algorithms for Three Versions of the Shortest Common Superstring Problem
Abstract. The input to the Shortest Common Superstring (SCS) problem is a set S of k words of total length n. In the classical version the output is an explicit word SCS(S) in whic...
Maxime Crochemore, Marek Cygan, Costas S. Iliopoul...