Contraction and treewidth lower bounds.
Contribution à la résolution numérique des équations de Laplace et de la chaleur
Contribution of František Matúš to the research on conditional independence
An overview is given of results achieved by F. Matúš on probabilistic conditional independence (CI). First, his axiomatic characterizations of stochastic functional dependence and unconditional independence are recalled. Then his elegant proof of discrete probabilistic representability of a matroid based on its linear representability over a finite field is recalled. It is explained that this result was a basis of his methodology for constructing a probabilistic representation of a given abstract...
Contributions to automatic construction and optimalization of identification keys
Control aspects of the blackboard agent architecture for a mobile robot
Control of uncertain processes: applied theory and algorithms
Controllability, applications, and numerical simulations of cellular neural networks.
Controllability of time-varying cellular neural networks.
Converge, Version 3.0. Software for algebra through calculus. A software review.
Convergence analysis for principal component flows
A common framework for analyzing the global convergence of several flows for principal component analysis is developed. It is shown that flows proposed by Brockett, Oja, Xu and others are all gradient flows and the global convergence of these flows to single equilibrium points is established. The signature of the Hessian at each critical point is determined.
Convergence behavior of the (1 +, λ) evolution strategy on the ridge functions.
The convergence behavior of (1 +, λ)-ES is investigated at parabolic ridge, sharp ridge, and at the general case of the ridge functions. The progress rate, the distance to the ridge axis, the success rate, and the success probability are used in the analysis. The strong dependency of the (1 + λ)-ES to the initial conditions is shown using parabolic ridge test function when low distances to the ridge axis are chosen as the start value. The progress rate curve and the success probability curve of...
Convergence of a branching type recursion
Convergence of an online split-complex gradient algorithm for complex-valued neural networks.
Convergence of batch split-complex backpropagation algorithm for complex-valued neural networks.
Convergence of the time-discretized monotonic schemes
Many numerical simulations in (bilinear) quantum control use the monotonically convergent Krotov algorithms (introduced by Tannor et al. [Time Dependent Quantum Molecular Dynamics (1992) 347–360]), Zhu and Rabitz [J. Chem. Phys. (1998) 385–391] or their unified form described in Maday and Turinici [J. Chem. Phys. (2003) 8191–8196]. In Maday et al. [Num. Math. (2006) 323–338], a time discretization which preserves the property of monotonicity has been presented. This paper introduces a proof of...
Convergence properties of adaptive threshold elements in respect to application and implementation
Conversion of regular expressions into realtime automata
We consider conversions of regular expressions into k-realtime finite state automata, i.e., automata in which the number of consecutive uses of ε-transitions, along any computation path, is bounded by a fixed constant k. For 2-realtime automata, i.e., for automata that cannot change the state, without reading an input symbol, more than two times in a row, we show that the conversion of a regular expression into such an automaton produces only O(n) states, O(nlogn) ε-transitions, and O(n) alphabet-transitions....
Conversion of TeX Generated Documents to PDF File Format
Convex Polyhedra With Triangular Faces and Cone Triangulation
Convex Representations of Maps on the Torus and Other Flat Surfaces.