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ICML
2003
IEEE
16 years 6 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
SIAMSC
2008
147views more  SIAMSC 2008»
15 years 6 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
IFIP
2005
Springer
15 years 11 months ago
On Warm Starts for Interior Methods
An appealing feature of interior methods for linear programming is that the number of iterations required to solve a problem tends to be relatively insensitive to the choice of in...
Anders Forsgren
SAS
2007
Springer
111views Formal Methods» more  SAS 2007»
16 years 4 days ago
Exploiting Pointer and Location Equivalence to Optimize Pointer Analysis
Abstract. Pointer information is a prerequisite for most program analyses, and inclusion-based, i.e. Andersen-style, pointer analysis is widely used to compute such information. Ho...
Ben Hardekopf, Calvin Lin
PPSC
1997
15 years 7 months ago
High-Performance Object-Oriented Scientific Programming in Fortran 90
We illustrate how Fortran 90 supports object-oriented concepts by example of plasma particle computations on the IBM SP. Our experience shows that Fortran 90 and object-oriented m...
Charles D. Norton, Viktor K. Decyk, Boleslaw K. Sz...