— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
Using a problem domain motivated by Bentley's"Little Languages" column [1], this paper explores the use of the Ruby programming language's flexible syntax, dyn...
VLSI placement tools usually work in two steps: First, the cells that have to be placed are roughly spread out over the chip area ignoring disjointness (global placement). Then, i...
our results using the Fast Fourier Transformation, the N-body attraction problem, and the cubic splines interpolation as examples.We investigate the application of partial evaluati...
We initiate the study of exact geometric algorithms that require limited storage and make only a small number of passes over the input. Fundamental problems such as lowdimensional...