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COR
2010
164views more  COR 2010»
14 years 10 months ago
The distributed permutation flowshop scheduling problem
This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPF...
B. Naderi, Rubén Ruiz
ICPP
2009
IEEE
15 years 4 months ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
TSP
2010
14 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 4 months ago
Min-Max predictive control of a pilot plant using a QP approach
— The practical implementation of Min-Max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by ...
Jorn Klaas Gruber, Daniel R. Ramírez, Teodo...
ICPR
2008
IEEE
15 years 4 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay