TL;DR: The nodes in Tare are denoted by small letters (possibly with a subscript) such as u, ur, etc., the edgeq areDenoted by node pairs such as @,q)# an8 the distance (positive numbers) associated with the ‘edp !

TL;DR: An integral equation for s specifk potential problem will be solved for different shapes of the unknown boundary function and results will be compared on the basis of their accuracy.

TL;DR: Simulation has been employed since the early stages of computers to assist in the analysis and improvement of performance, and this method has grown in popularity, perhaps due to the fact that analytic methods are difficult to employ.

TL;DR: It was to strike an information-theoretic balance between classifwation purity and predictive uncertainty *that the entropy minimax methoti was formulated, and this method, which has been applied to numerous real-world data sets, involves finding a partition of feature space for which Si, the expected value of the conditional classification entropy, is a minimum.

TL;DR: It is clear at least in th& exampIe that round-to-odd gives the nearest repre~&bIe answer, and implementers of stable round@ should base a tradeoff decision on whether this chsa of cases or whether divideeby-two (v&h favorsround-toeven) is the more prevalent even when selecting a round off rule.

TL;DR: The question is then can the behavior of P be realized by using just PV, and whether PV can solve it.

TL;DR: The algorithm presented here is significantly faster than Cidstrom’s, with a minor sacri&;c in generality, and requires free storage to be a block oi conous storage locations.

TL;DR: The proposed in the literature for differ:t data are based on abstract formalisms ent of any structure in the d&a, t for a smoothness assumption, therefore they areactory for non-exact (experimental) data.