Next generation High Performance (HP) tokamaks risk damage from unmitigated disruptions at high current and power. Achieving reliable disruption prediction for a device's HP operation based on its Low (LP) data is key to success. In this letter, through explorative analysis dedicated numerical experiments multiple existing tokamaks, we demonstrate how the operational regimes of can affect power...

W consider a vehicle routing problem with uncertain travel times in which a penalty is incurred for each vehicle that exceeds a given time limit. A traditional stochastic programming approach would require precise knowledge of the underlying probability distributions of random data. In a novel approach presented here, we assume that only rough information on future travel times is available, le...

This paper explains precisely how a declarative method language, based upon the formal notations of Z and B, can be used as a basis for automatic code generation. The language is used to describe the intended effect of operations, or methods, upon the components of an object model; each method is defined by a pair of predicates—preand post-conditions. Following the automatic incorporation of mo...

We propose simple and flexible training and decoding methods for influencing output style and topic in neural encoderdecoder based language generation. This capability is desirable in a variety of applications, including conversational systems, where successful agents need to produce language in a specific style and generate responses steered by a human puppeteer or external knowledge. We decom...