11 search results - page 2 / 3 » Semismooth Matrix-Valued Functions |
SIAMJO
2008
13 years 9 months ago
2008
This paper extends the regularized smoothing Newton method in vector optimization to symmetric cone optimization, which provide a unified framework for dealing with the nonlinear ...
SIAMJO
2010
13 years 4 months ago
2010
Abstract. We consider a Newton-CG augmented Lagrangian method for solving semidefinite programming (SDP) problems from the perspective of approximate semismooth Newton methods. In ...
MP
2008
13 years 9 months ago
2008
We analyze the rate of local convergence of the augmented Lagrangian method for nonlinear semidefinite optimization. The presence of the positive semidefinite cone constraint requ...
MCS
2011
Springer
13 years 4 months ago
2011
Springer
Consider a matrix valued function A(x) ∈ Rm×n , m ≥ n, smoothly depending on parameters x ∈ Ω ⊂ R2 , where Ω is simply connected and bounded. We consider a technique t...
ADCM
2005
13 years 9 months ago
2005
Radial basis functions (RBFs) have found important applications in areas such as signal processing, medical imaging, and neural networks since the early 1980's. Several appli...