in operations, a short delay of one flight can cause very severe disruptions of the schedule later in the day. We generate solutions that incur small costs and are also robust to typical stochastic variability in airline operations. We solve the two original problems iteratively. Starting from a minimal cost

supervised so that it enforces a relation between tissues and classes. In later iterations high-confidence points are used to help classify nearby ambiguous points, based on the assumption that points in close proximity and of comparable intensities are probably representing the same tissue class. 1.

this paper; see [12], [16], and the references given therein. We point out that, since the number of inner iterations may vary from block to block, the convergence results in Baudet [1] or Chazan and Miranker [5] cannot be applied to our situation. In Sect. 2, we derive two new convergence results

Introduction T he propagation of seismic body waves in complex, laterally varying 3-D layered structures is a complicated process. Analytical solutions of the elastodynamic equations for such types of media are not known. The most common approaches to the investigation of seismic wavefields

Abstract — The paper presents a method to significantly improve the convergence of iteratively decoded concatenated schemes and reduce the gap between iterative and maximum likelihood (ML) decoding. It is shown that many of the error blocks produced by the iterative decoder can be corrected

In contrast t o previous work, which treats the Earth’s lateral heterogeneity as an infinitesimal perturbation to a spherically symmetrical starting model, we conduct iterative linearized waveform inversion for the Earth’s laterally heterogeneous structure. W e use the Direct Solution Method (DSM

iteration can provide feedback for defect prevention in later iterations, leading to quality and productivity improvement. We give an example of its use and benefits on a commercial project.

Abstract. Analyticity of functions satisfying the lateral estimates for iterated elliptic operators is shown. 1.

Abstract. We give new examples of groups of intermediate growth, by a method that was first developed by Grigorchuk and later adapted by Bux and Pérez. Our examples are the groups generated by the automata with the kneading sequences 11(0)ω and 0(011)ω. By results of Nekrashevych, both

Evolutionary tournaments have been used as a tool for com-paring game-playing strategies. For instance, in the late 1970’s, Axelrod organized tournaments to compare strate-gies for playing the iterated prisoner’s dilemma (PD) game. While these tournaments and later research have provided us with a