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The composition operators are based on general mathematical (e.g., Boolean or arithmetic) functions.
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In terms of mathematical methods, the approach used in this paper is based on general convex optimization while that in [12, 13] was based on geometric programming.
The proposed approach is based on a general mathematical optimization framework we presented in prior work.
We present an approach for the modeling and simulation of electrochemical processes based on a general mathematical formulation, for which we expect future extensibility.
Modern robust control (known as H∞) theory represents an efficient possibility to solve robustness requirements in a general way based on exact mathematical formulation (Linear Matrix Inequalities) combined with knowledge-based expertise (through real patient data, uncertainty weighting functions can be formulated).
In this paper, a new data-driven bottleneck detection method is proposed based on rigorous mathematical proof for general serial production systems, which uses the routinely available industrial data on the plant floor to identify the throughput bottleneck location within production systems in both the short-term (transient) and long-term (steady-state) periods.
The techniques of these proofs, in general based on the classical mathematical analysis, lead up to virtuosity and significantly depend on the number of independent variables and the geometry of the domain of integration.
This paper presents a general and effective procedure based on a mathematical programming approach for composite structures optimal design, under weight, stiffness and strength criteria.
Here, we propose a general procedure based on mathematical analysis that provides an answer to this question.
The count of deaths was based on mathematical models — one for each resistant organism.
His background in mathematical algorithms led Dr. Schwartz to develop an early programming language called SETL, based on the mathematical theory of sets.
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