“Self-adaptive” algorithms include a wide variety of procedures that derive models by “training” with data about the process concerned. Adaptive algorithms typically perform brilliantly under some conditions, but fail badly under others. Flexibility, reliability and speed are prime...

For the solution of the linear system x = Tx + c (1), where T is weakly cyclic of index k ≥ 2, the block SOR method together with two classes of monoparametric k-step iterative Euler methods, whose (optimum) convergence properties were studied in earlier papers, are considered. By establishing...

Simulation and models of the role of topographic instability are used to investigate the evolution of atmospheric teleconnection patterns. Both simple theoretical and complex realistic models are considered in β-plane channel and spherical atmospheric models based on the quasi-geostrophic...

A state space partitioning and surrogate distribution approximation (SDA) approach for analyzing the time-dependent behavior of queueing systems is described for finite-capacity, single server queueing systems with time-dependent phase arrival and service processes. Regardless of the system...

A detailed soil-plant-animal model was constructed and used to assess pasture and animal production at three superphosphate rates over three 15-year periods, (i) 1927–41, (ii) 1949–63, and (iii) 1972–86. At superphosphate rates of 125 and 250 kg super ha−1 yr−1, wool production...

The CESTAC method—also known as the Permutation-Perturbation method—was first conceived to analyse the propagation of the round-off error when a numerical algorithm is run on a computer. Moreover, for iterative optimization methods it leads to the definition of an optimal termination...

We have used a general circulation model of the atmosphere to model the effect on July climate of anomalously warm sea surface temperatures to the northwest and northeast of Australia. The effect on sea level pressure is on the large scale. Significant reductions occur over the area of the...

Current transformer (C.T.) design is based on laboratory experiments and the analysis and synthesis of a C.T. operation. Simulation methods have been used for the investigation of biased-core C.T. properties and structure optimization. The mathematical model assumed for the simulation is a set...

The problem of optimizing the observation structure of a complex stochastic linear discrete system is considered. The system consists of p single-output linear subsystems excited by uncorrelated noises: the output of the overall system is a linear, possibly time-varying transformation of the...

The semi-variogram function which describes the spatial variation of samples as a function of their distance apart is an intermediary in geostatistical calculations. It is used in the calculation of several variances: the estimation variance which quantifies the accuracy of block estimates and...