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» Optimal Solvers for PDE-Constrained Optimization
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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 12 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
DAC
2006
ACM
16 years 14 days ago
Predicate learning and selective theory deduction for a difference logic solver
Design and verification of systems at the Register-Transfer (RT) or behavioral level require the ability to reason at higher levels of abstraction. Difference logic consists of an...
Chao Wang, Aarti Gupta, Malay K. Ganai
CI
2004
85views more  CI 2004»
14 years 11 months ago
Soft Constraint Propagation and Solving in Constraint Handling Rules
Soft constraints are a generalization of classical constraints, which allow for the description of preferences rather than strict requirements. In soft constraints, constraints and...
Stefano Bistarelli, Thom W. Frühwirth, Michae...
CP
2005
Springer
15 years 5 months ago
On Solving Soft Temporal Constraints Using SAT Techniques
In this paper, we present an algorithm for finding utilitarian optimal solutions to Simple and Disjunctive Temporal Problems with Preferences (STPPs and DTPPs) based on Benders’...
Hossein M. Sheini, Bart Peintner, Karem A. Sakalla...
SAT
2004
Springer
115views Hardware» more  SAT 2004»
15 years 4 months ago
Full CNF Encoding: The Counting Constraints Case
Abstract. Many problems are naturally expressed using CNF clauses and boolean cardinality constraints. It is generally believed that solving such problems through pure CNF encoding...
Olivier Bailleux, Yacine Boufkhad