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» Minimization of an M-convex Function
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DATE
2006
IEEE
73views Hardware» more  DATE 2006»
14 years 2 months ago
Minimizing test power in SRAM through reduction of pre-charge activity
In this paper we analyze the test power of SRAM memories and demonstrate that the full functional precharge activity is not necessary during test mode because of the predictable a...
Luigi Dilillo, Paul M. Rosinger, Bashir M. Al-Hash...
ISVLSI
2005
IEEE
115views VLSI» more  ISVLSI 2005»
14 years 1 months ago
Quasi-Exact BDD Minimization Using Relaxed Best-First Search
In this paper we present a new method for quasiexact optimization of BDDs using relaxed ordered best-first search. This general method is applied to BDD minimization. In contrast...
Rüdiger Ebendt, Rolf Drechsler
EVOW
2010
Springer
14 years 1 months ago
A Genetic Algorithm to Minimize Chromatic Entropy
We present an algorithmic approach to solving the problem of chromatic entropy, a combinatorial optimization problem related to graph coloring. This problem is a component in algor...
Greg Durrett, Muriel Médard, Una-May O'Reil...
MICCAI
2007
Springer
14 years 8 months ago
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization
Energy functional minimization is an increasingly popular technique for image segmentation. However, it is far too commonly applied with hand-tuned parameters and initializations t...
Chris McIntosh, Ghassan Hamarneh
ICCAD
2001
IEEE
192views Hardware» more  ICCAD 2001»
14 years 4 months ago
BOOM - A Heuristic Boolean Minimizer
We present a two-level Boolean minimization tool (BOOM) based on a new implicant generation paradigm. In contrast to all previous minimization methods, where the implicants are ge...
Jan Hlavicka, Petr Fiser