Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
Abstract. Hybrid cc is a constraint programming language suitable for modeling, controlling and simulating hybrid systems, i.e. systems with continuous and discrete state changes. ...
This paper addresses a novel linear programming based approach to optimize the choice of the encoding parameters for the MPEG-4 AAC audio codec. Current techniques solve the encod...
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems...
H. M. Prasanna, D. Ghose, M. S. Bhat, Chiranjib Bh...