We analyze the complexity of computing pure strategy Nash equilibria (PSNE) in symmetric games with a fixed number of actions. We restrict ourselves to “compact” representati...
Christopher Thomas Ryan, Albert Xin Jiang, Kevin L...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
In this paper, we present a general framework for evaluating the performance characteristics of block cipher structures composed of S-boxes and Maximum Distance Separable (MDS) ma...
Schedulinglarge task graphsis an importantissue in parallel computingsince it allowsthe treatment of big size problems. In this paper we tackle the following problem: how to sched...
Michel Cosnard, Emmanuel Jeannot, Laurence Rougeot
We present a new remeshing scheme based on the idea of improving mesh quality by a series of local modifications of the mesh geometry and connectivity. Our contribution to the fa...