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SIAMJO
2008
212views more  SIAMJO 2008»
13 years 8 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
VLDB
1998
ACM
86views Database» more  VLDB 1998»
14 years 14 days ago
Inferring Function Semantics to Optimize Queries
The goal of the COKO-KOLA project [10, 91 is to express rules of rule-basedoptimizers in a mannerpermitting verification with a theoremprover. In [IO], we consideredquerytransform...
Mitch Cherniack, Stanley B. Zdonik
ICCAD
2007
IEEE
139views Hardware» more  ICCAD 2007»
14 years 2 months ago
Using functional independence conditions to optimize the performance of latency-insensitive systems
—In latency-insensitive design shell modules are used to encapsulate system components (pearls) in order to interface them with the given latency-insensitive protocol and dynamic...
Cheng-Hong Li, Luca P. Carloni
FLAIRS
2004
13 years 9 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
JCO
2006
96views more  JCO 2006»
13 years 8 months ago
One-dimensional optimal bounded-shape partitions for Schur convex sum objective functions
Consider the problem of partitioning n nonnegative numbers into p parts, where part i can be assigned ni numbers with ni lying in a given range. The goal is to maximize a Schur con...
F. H. Chang, H. B. Chen, J. Y. Guo, Frank K. Hwang...