Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-known methods that can be used to generate bounds for mixed-integer linear programmi...
Program slicing is a promising technique for providing automated support for various important software engineering activities. There exists hundreds of scientific studies on the ...
We have taken a NIST molecular dynamics simulation program (md3), which was configured as a single sequential process running on a CRAY C90 vector supercomputer, and parallelized ...
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...