Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Graph-coloring register allocation is an elegant and extremely popular optimization for modern machines. But as currently formulated, it does not handle two characteristics common...
Michael D. Smith, Norman Ramsey, Glenn H. Holloway
Queries to data warehouses often involve hundreds of complex aggregations over large volumes of data, and so it is infeasible to compute these queries by scanning the data sources ...
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs a...