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» Methods for convex and general quadratic programming
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TOG
2012
181views Communications» more  TOG 2012»
13 years 6 months ago
Soft body locomotion
We present a physically-based system to simulate and control the locomotion of soft body characters without skeletons. We use the finite element method to simulate the deformatio...
Jie Tan, Greg Turk, C. Karen Liu
SAC
2010
ACM
15 years 11 months ago
Polytope-based computation of polynomial ranges
Polynomial ranges are commonly used for numerically solving polynomial systems with interval Newton solvers. Often ranges are computed using the convex hull property of the tensor...
Christoph Fünfzig, Dominique Michelucci, Sebt...
JMLR
2012
13 years 6 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
CASES
2010
ACM
15 years 2 months ago
Instruction selection by graph transformation
Common generated instruction selections are based on tree pattern matching, but modern and custom architectures feature instructions, which cannot be covered by trees. To overcome...
Sebastian Buchwald, Andreas Zwinkau
SIAMJO
2002
133views more  SIAMJO 2002»
15 years 4 months ago
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Abstract. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
Philip E. Gill, Walter Murray, Michael A. Saunders