On the rst hand, this report studies the class of Greedy Algorithms in order to nd an as systematic as possible strategy that could be applied to the speciication of some problems to lead to a correct program solving that problem. On the other hand, the standard formalisms underlying the Greedy Algorithms (matroid, greedoid and matroid embedding) which are dependent on the particular type set a...

Avoiding a hangover is a great goal to have! Many folks who participate in moderate or higherrisk drinking [2] experience a hangover at some point (though some people can experience a hangover with just one drink). A hangover isn't just one symptom; it's a set of possible symptoms a person may experience after consuming alcohol. With a bit of planning, symptoms of hangovers can be minimized whe...

Avoiding a hangover is a great goal to have! Many folks who participate in moderate or higherrisk drinking [2] experience a hangover at some point (though some people can experience a hangover with just one drink). A hangover isn't just one symptom; it's a set of possible symptoms a person may experience after consuming alcohol. With a bit of planning, symptoms of hangovers can be minimized whe...

We study path planning on grids with blocked and unblocked cells. Any-angle path-planning algorithms find short paths fast because they propagate information along grid edges without constraining the resulting paths to grid edges. Incremental pathplanning algorithms solve a series of similar pathplanning problems faster than repeated single-shot searches because they reuse information from the ...

Forms of learning: from apprenticeship to sustainable learning Womack, et al., (1990) identified an evolutionary process from the craft production system to the mass production system to a lean production system. It is argued here that the next stage in this evolutionary process will lead to a sustainable production system. Furthermore, we may identify corresponding learning systems associated ...