Sciweavers

15 search results - page 2 / 3
» Unconstrained minimization of quadratic functions via min-su...
Sort
View
IPCO
2010
153views Optimization» more  IPCO 2010»
13 years 2 months ago
An Effective Branch-and-Bound Algorithm for Convex Quadratic Integer Programming
We present a branch-and-bound algorithm for minimizing a convex quadratic objective function over integer variables subject to convex constraints. In a given node of the enumerati...
Christoph Buchheim, Alberto Caprara, Andrea Lodi
ORL
2011
12 years 11 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
13 years 9 months ago
Adaptive minimax filtering via recursive optimal quadratic approximations
This paper considers the minimax filtering problem in which the supremum norm of weighted error sequence is minimized. It is shown that the minimax solution is also the optimal Se...
S. Gollamudi, Yih-Fang Huang
ICCAD
1999
IEEE
86views Hardware» more  ICCAD 1999»
13 years 9 months ago
Clock skew scheduling for improved reliability via quadratic programming
This paper considers the problem of determining an optimal clock skew schedule for a synchronous VLSI circuit. A novel formulation of clock skew scheduling as a constrained quadrat...
Ivan S. Kourtev, Eby G. Friedman
SIAMJO
2002
159views more  SIAMJO 2002»
13 years 4 months ago
Locating the Least 2-Norm Solution of Linear Programs via a Path-Following Method
A linear program has a unique least 2-norm solution provided that the linear program has a solution. To locate this solution, most of the existing methods were devised to solve cer...
Yun-Bin Zhao, Duan Li