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SIAMJO
2008
212views more  SIAMJO 2008»
13 years 10 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
DB
2008
107views more  DB 2008»
13 years 10 months ago
Introducing function extraction into software testing
Software testing can benefit from technologies that enable evolution toward increased engineering discipline. In current practice, software developers lack practical means to dete...
Mark G. Pleszkoch, Richard C. Linger, Alan R. Hevn...
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 4 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
HASKELL
2009
ACM
14 years 4 months ago
Types are calling conventions
It is common for compilers to derive the calling convention of a function from its type. Doing so is simple and modular but misses many optimisation opportunities, particularly in...
Maximilian C. Bolingbroke, Simon L. Peyton Jones
SIGSOFT
2002
ACM
14 years 10 months ago
Improving program slicing with dynamic points-to data
Program slicing is a potentially useful analysis for aiding program understanding. However, slices of even small programs are often too large to be generally useful. Imprecise poi...
Markus Mock, Darren C. Atkinson, Craig Chambers, S...