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ADCM
2010
89views more  ADCM 2010»
15 years 2 months ago
Minimization of convex functionals over frame operators
Abstract. We present results about minimization of convex functionals defined over a finite set of vectors in a finite dimensional Hilbert space, that extend several known results ...
Pedro Massey, Mariano Ruiz
AUTOMATICA
2002
53views more  AUTOMATICA 2002»
15 years 1 months ago
Minimal partial realization from generalized orthonormal basis function expansions
A solution is presented for the problem of realizing a discrete-time LTI state-space model of minimal McMillan degree such that its
Thomas J. de Hoog, Zoltán Szabó, Pet...
JCT
2000
103views more  JCT 2000»
15 years 1 months ago
A Combinatorial Algorithm Minimizing Submodular Functions in Strongly Polynomial Time
We give a strongly polynomial-time algorithm minimizing a submodular function f given by a value-giving oracle. The algorithm does not use the ellipsoid method or any other linear ...
Alexander Schrijver
SIAMJO
2008
212views more  SIAMJO 2008»
15 years 1 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
ICSE
2009
IEEE-ACM
15 years 8 months ago
MINTS: A general framework and tool for supporting test-suite minimization
Regression test suites tend to grow over time as new test cases are added to exercise new functionality or to target newly-discovered faults. When test suites become too large, th...
Hwa-You Hsu, Alessandro Orso