G. Muhlbach, The general Neville-Aitken-algorithm and some applications, Numer. Math. 31 (1978) 97-110.Mtihlbach, G. (1978), The general Neville-Aitken algorithm and some applications, Numer. Math. 31, 97-110.G.
Choose the correct zero-crossing location algorithm, based on the system dynamics. For Zeno dynamic systems, or systems with strong chattering, you can select the adaptive zero-crossing detection algorithm through the Configure pane: Four Hydraulic Cylinder Simulation ...
Paterson and Wegman [1978] have given an efficient linear-time unification algorithm based on representing terms as dags. Show moreView chapter Book series 1998, Studies in Logic and the Foundations of MathematicsSamuel R. Buss Chapter Unification Theory 1.2 History and applications The name “...
As an example of application, a meta-model can be used to evaluate an objective function and/or constraints for each trial candidate solution explored within an optimization algorithm. Often, the quantities of interest are retrieved from a time-consuming analysis, e.g. a detailed FE model. In...
Eckhardt, U. Weber's problem and weiszfeld's algorithm in general spaces.Mathematical Programming18, 186–196 (1980). https://doi.org/10.1007/BF01588313 Download citation Received09 December 1976 Revised12 July 1979 Issue DateDecember 1980
Music AIs.Dadabots is an AI algorithm that, given a body of existing music, can generate a stream of its ownapproximation of that music. If AGI were applied to some of the preceding examples, it could improve their functionality. For example, self-driving cars require a human to be presen...
Our algorithm, however, employs unnormalized indices because the variance is constant and therefore does not change the ordering of these indices. Moreover, the variance in subspaces in, e.g., the latter stages of the refinement process is usually small, in which case such a division would be...
[27] and Khuangsatung and Kangtunyakarn [25], we suggest and analyze a new iterative algorithm for finding a common solution to a variational inclusion problem with a finite family of accretive operators and a modified system of variational inequalities in infinite-dimensional Banach spaces. We ...
General memory allocators are interesting as there exists no algorithm that is optimal -- for a given allocator one can usually construct a workload where it does not do so well. The goal is thus to find an allocation strategy that performs well over a wide range of benchmarks without suf...
1b). Using this multi-loss evolutionary algorithm, the training converges much faster than using a single-loss function. The efficiency improvement in training becomes more significant with an increasing number of elements, and is crucial for being able to develop models such as UNEP-v1. ...