Stochastic dominance constraints allow a decision-maker to manage risk in an optimization setting by requiring their decision to yield a random outcome which stochastically domina...
— Classically, the inverse kinematics is performed by computing the singular value decomposition of the matrix to invert. This enables a very simple writing of the algorithm. How...
Adrien Escande, Nicolas Mansard, Pierre-Brice Wieb...
Program compilation can be formally defined as a sequence of equivalence-preserving transformations, or refinements, from highlevel language programs to assembler code. Recent mo...
We describe some of the techniques which have been used to implement METATEM, a programming language based on temporal logic, and address problems such as non-determinism and loopi...
We show that for even quasi-concave objective functions the worst-case distribution, with respect to a family of unimodal distributions, of a stochastic programming problem is a u...