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» Fast convergence in evolutionary models: A Lyapunov approach
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CVIU
2011
12 years 8 months ago
Graph-based quadratic optimization: A fast evolutionary approach
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
Samuel Rota Bulò, Marcello Pelillo, Immanue...
PARA
2004
Springer
13 years 10 months ago
Parallel Algorithms for Balanced Truncation Model Reduction of Sparse Systems
We describe the parallelization of an efficient algorithm for balanced truncation that allows to reduce models with state-space dimension up to O(105 ). The major computational tas...
José M. Badía, Peter Benner, Rafael ...
AUTOMATICA
2011
12 years 12 months ago
Stability analysis of nonlinear quadratic systems via polyhedral Lyapunov functions
— Quadratic systems play an important role in the modeling of a wide class of nonlinear processes (electrical, robotic, biological, etc.). For such systems it is of mandatory imp...
Francesco Amato, Francesco Calabrese, Carlo Cosent...
IJON
2010
159views more  IJON 2010»
12 years 11 months ago
Model predictive flight control using adaptive support vector regression
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim
SODA
2001
ACM
110views Algorithms» more  SODA 2001»
13 years 6 months ago
Absolute convergence: true trees from short sequences
Fast-converging methods for reconstructing phylogenetic trees require that the sequences characterizing the taxa be of only polynomial length, a major asset in practice, since rea...
Tandy Warnow, Bernard M. E. Moret, Katherine St. J...