Concurrent logic languages have been traditionally executed in a \greedy" fashion, such that computations are goal-driven. In contrast, non-strict functional programs have been traditionally executed in a \dataaow" fashion, such that computations are demand-driven. The latter method can be superior when allocation of resources such as memory is critical, which is usually the case for large, com...

We propose a nonparametric data-driven algorithm called DDM for the management of stochastic periodicreview multi-product inventory systems with a warehouse-capacity constraint. The demand distribution is not known a priori and the firm only has access to past sales data (often referred to as censored demand data). We measure performance of DDM through regret, the difference between the total e...

The increasing usage of sensor-actuator networks by NCS/SCADA systems raises significant concerns about privacy. Developing novel schemes for demand response in smart electric gird is an increasingly active research area. These schemes aim to control/flatten demand curves and shift consumption times to the off-peak periods, which allows to to improve efficiency. Indeed, higher volatility of use...

With the increasing importance of just-in-time or dynamic compilation and the use of program analysis as part of software development environments, there is a need for techniques for demand driven construction of a call graph. We have developed a technique for demand driven call graph construction which handles dynamic calls due to polymorphism in object-oriented languages. Our demand driven te...

Ray tracing is a powerful technique to generate realistic images of 3D scenes. A drawback is its high demand for processing power. Multiprocessing is one way to meet this demand. However, when the models are very large, special attention must be paid to the way the algorithm is parallelised. Combining demand driven and data parallel techniques provides good opportunities to arrive at an efficie...

Call graph construction has been an important area of research within the compilers and programming languages community. However, all existing techniques focus on exhaustive analysis of all the call-sites in the program. With increasing importance of just-in-time or dynamic compilation and use of program analysis as part of the software development environments, we believe that there is a need ...

Many researchers have proposed programming languages that support incremental computation (IC), which allows programs to be efficiently re-executed after a small change to the input. However, existing implementations of such languages have two important drawbacks. First, recomputation is oblivious to specific demands on the program output; that is, if a program input changes, all dependencies w...

In this paper we discuss the advantage of lazy functional logic languages to solve search problems. We show that the lazy evaluation strategy of such languages can be easily exploited to implement a solver that explores only the dynamically demanded parts of the search space. In contrast to pure logic programming, the use of nondeterministic functions enables a modular and simple implementation...