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The differential of the method is its ability to reason over a pre-existing knowledge-base and to infer relations that helps the user to build new relationship between concepts.
In this sense, the differential of the method proposed in this paper is the retrieval of similar content from the previous knowledge base, which facilitates more productive interactions for the acquisition of common-sense and inferentialist knowledge for new concepts.
The differential of the method in relation to the state of the art is an automatic reasoning process that generates new common-sense and pragmatic facts for concepts of the Portuguese language, based on content of other similar concepts and according to the grammatical structure of noun phrases.
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The major conceptual difference between seriation and clustering underlying the differential performance of the methods on noisy SAGE data stems from the different primary goals of the two methods.
The values of atmospheric refraction at the true zenith distances of 44.8° to 87.5° were obtained from the practical observations based on the differential method, and the feasibility of the method of differential measurement of atmospheric refraction was preliminarily justified.
Kimura (1955) derived the complete solution of the differential equation, using the method of moments.
To assess the differential detection timeliness of the method using individual addresses and census tract centroids, additional cases were simulated (similar to how this was conducted before), where this time, the spatial window was fixed at 0.2 km and the time window was increased from 1 6 months, anchoring the scanning window on the last month of the scan date.
In the present work, it is shown how a proper mathematical model allows the utilization of the differential and/or the integral methods of kinetic analysis.
Following an explanation of differential elimination, the method of introducing the constraints is briefly described.
Motivated by it, we intend to find the sufficient conditions of the existence of global and blow-up solutions of problem (1.1 - 1.3) by using the method of upper-lower solution, the technique of ordinary differential equation, the method of characteristic function and self-similar lower solution.
In the numerical solution of ordinary differential systems, the method of fractional steps (also known as operator splitting) yields high-order accurate schemes based on separate, computationally convenient treatments of distinct physical effects.
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