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» Modifying SQP for Degenerate Problems
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SIAMJO
2002
77views more  SIAMJO 2002»
13 years 4 months ago
Modifying SQP for Degenerate Problems
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...
Stephen J. Wright
SIAMNUM
2010
96views more  SIAMNUM 2010»
12 years 11 months ago
On the Strong Convergence of Gradients in Stabilized Degenerate Convex Minimization Problems
Infimizing sequences in nonconvex variational problems typically exhibit enforced finer and finer oscillations called microstructures such that the infimal energy is not attained. ...
Wolfgang Boiger, Carsten Carstensen
JSCIC
2006
81views more  JSCIC 2006»
13 years 4 months ago
An Improvement of a Recent Eulerian Method for Solving PDEs on General Geometries
We improve upon a method introduced in (Bertalmio et. al. JCP 2001) for solving evolution PDEs on codimension-one surfaces in RN. As in the original method, by representing the su...
John B. Greer
VIS
2004
IEEE
139views Visualization» more  VIS 2004»
14 years 6 months ago
Compatible Triangulations of Spatial Decompositions
We describe a general algorithm to produce compatible 3D triangulations from spatial decompositions. Such triangulations match edges and faces across spatial cell boundaries, solv...
Berk Geveci, Mathieu Malaterre, William J. Schroed...
ESSMAC
2003
Springer
13 years 10 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...