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JSCIC
2007
89views more  JSCIC 2007»
13 years 7 months ago
Adjoint Recovery of Superconvergent Linear Functionals from Galerkin Approximations. The One-dimensional Case
In this paper, we extend the adjoint error correction of Pierce and Giles [SIAM Review, 42 (2000), pp. 247-264] for obtaining superconvergent approximations of functionals to Gale...
Bernardo Cockburn, Ryuhei Ichikawa
AIPS
2008
13 years 10 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
SIAMSC
2008
193views more  SIAMSC 2008»
13 years 7 months ago
Exact and Approximate Sparse Solutions of Underdetermined Linear Equations
Abstract. In this paper, we empirically investigate the NP-hard problem of finding sparsest solutions to linear equation systems, i.e., solutions with as few nonzeros as possible. ...
Sadegh Jokar, Marc E. Pfetsch
SIAMNUM
2010
140views more  SIAMNUM 2010»
13 years 2 months ago
Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
Mihály Kovács, Stig Larsson, Fardin ...
CRYPTO
1994
Springer
128views Cryptology» more  CRYPTO 1994»
13 years 11 months ago
Linear Cryptanalysis Using Multiple Approximations
We present a technique which aids in the linear cryptanalysis of a block cipher and allows for a reduction in the amount of data required for a successful attack. We note the limit...
Burton S. Kaliski Jr., Matthew J. B. Robshaw