Asymptotic Notations are languages that allow us to analyze an algorithm's running time by identifying its behavior as the input size for the algorithm increases. This is also known as an algorithm's ...
Asymptotic notation is a way of describing the efficiency of algorithms in terms of their input size. The most common asymptotic notations are: Big O (O): Describes an upper bound, representing the ...
Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 81, No. 1, Special issue Statistics on non-Euclidean Spaces and Manifolds (February 2019), pp. 63-82 (20 pages) Compositional data ...
Scandinavian Journal of Statistics, Vol. 26, No. 2 (Jun., 1999), pp. 297-318 (22 pages) Properties of Huber's M-estimators based on estimating equations have been studied extensively and are well ...
Abstract: This paper presents a novel data-based adaptive control strategy based on feedback linearization to address the asymptotic tracking control problem of position and speed for underactuated ...
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