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To overcome this problem, a class of high breakdown robust estimators (insensitive to outliers up to 50% of the data sample) has been introduced as an alternative to the least squares regression.
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Unlike previous work, which concentrated on a single virtual topology, we consider this problem as a class of problems by formulating it as a quadratic assignment problem.
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We argue that any attempt to measure people's preferences and risk attitudes should be derived from an underlying theory of decision-making that can be applied to a problem or a class of the problems at hand.
This problem exemplifies a class of optimization and inverse problems that arise in diverse applications.
PDE-constrained optimization problems are a class of problems which have attracted much recent attention in scientific computing and applied science.
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The paper concerns the state estimation problem of a class of discrete-event systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com