In this paper, we consider the problem of minimizing quantum free energies under constraint that density particles is fixed at each point Rd, for any d≥1. We are more particularly interested in characterization minimizer, which a self-adjoint nonnegative trace class operator, and will show it solution to nonlinear self-consistent problem. This question deriving statistical equilibria heart hydr...

Traces of program executions tell how programs behave in given cases. They are a helpful source of information for automated debugging. Opium is an automated trace analyser for Prolog programs. It is programmable and extendable. It provides a trace query language and abstract views of executions as a basis for automated debugging. Opium has shown its capabilities to build abstract tracers and a...

An algorithm for computing three-dimensional (3-D) velocity field and motion parameters from a range image sequence is presented. It is based on a new integral 3-D rigid motion invariant feature-the trace of a 3x3 "feature matrix" related to the moment of inertia tensor. This trace can be computed at every point of a moving surface and provides a quantitative measure of the local shape of the s...

We propose a new subspace clustering model to segment data which is drawn from multiple linear or affine subspaces. Unlike the well-known sparse subspace clustering (SSC) and low-rank representation (LRR) which transfer the subspace clustering problem into two steps’ algorithm including building the affinity matrix and spectral clustering, our proposed model directly learns the different subspa...

FORR (FOrr the Right Reasons) is a cognitively plausible architecture for the rapid development of expertise (Epstein, 1992). To produce an adaptive, robust problem solver, FORR exploits many techniques observable in human learners. FORR itself is domain independent; a FORR-based application requires a set of domain-specific state representations and heuristics. Hoyle, a FORR-based game player,...

Because of their complementary strengths, optimization and constraint programming can be profitably merged. Their integration has been the subject of increasing commercial and research activity. This paper summarizes and contrasts the characteristics of the two fields; in particular, how they use logical inference in different ways, and how these ways can be combined. It sketches the intellectu...

The use of constraint solvers, such as SATor PseudoBoolean-solvers, allows the extraction of the secret key from one or two side-channel traces. However, to use such a solver the cipher must be represented at bit-level. For byte-oriented ciphers this produces very large and unwieldy instances, leading to unpredictable, and often very long, run times. In this paper we describe a specialized byte...

Current paper presents a new method for solving hierarchical test generation constrainis. Unlike most of /he previous solvers. the proposed approach relies on the low-level model description of the constraints. The low-level model used is structurally synthesized BDDs, which are generated directly from the gate-level descriptions of the hierarchical modules. The method has been implemented and ...