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A FAST ALGORITHM ON AVERAGE FOR ALL-AGAINST-ALL SEQUENCE MATCHING
(IEEE TECHNICAL COMMITTEE ON DATA ENGINEERING, 1999)
We present an algorithm which attempts to align pairs of
subsequences from a database of genetic sequences. The algorithm
simulates the classical dynamic programming alignment algorithm over a
suffix array of the database. ...
Bounds for Estimators of Ergodic Averages
(Hikari, 2013-01)
We consider different ergodic averages and estimate the measure of the set of points in which the averages apart from a given value. The cases considered are empirical measures of cylinders in symbolic spaces and averages ...
A FAST ALGORITHM ON AVERAGE FOR ALL-AGAINST-ALL SEQUENCE MATCHINGIEEE COMPUTER SOCIETY DL
(IEEE TECHNICAL COMMITTEE ON DATA ENGINEERING, 2016)
A numerical algorithm for zero counting. III: Randomization and condition
(Elsevier, 2012-01)
In a recent paper [7] we analyzed a numerical algorithm for computing the number of real zeros of a polynomial system. The analysis relied on a condition number κ(f) for the input system f. In this paper we look at κ(f) ...
Melnikov analysis in nonsmooth differential systems with nonlinear switching manifold
(2019-09-05)
We study the family of piecewise linear differential systems in the plane with two pieces separated by a cubic curve. Our main result is that 7 is a lower bound for the Hilbert number of this family. In order to get our ...
Effect of temporal averaging of meteorological data on predictions of groundwater recharge
(2018-06-01)
Accurate estimates of infiltration and groundwater recharge are critical for many hydrologic, agricultural and environmental applications. Anticipated climate change in many regions of the world, especially in tropical ...
Average control of Markov decision processes with Feller transition probabilities and general action spaces
(ACADEMIC PRESS INC ELSEVIER SCIENCESAN DIEGO, 2013-08-02)
This paper studies the average control problem of discrete-time Markov Decision Processes (MDPs for short) with general state space, Feller transition probabilities, and possibly non-compact control constraint sets A(x). ...
Application of the Integrated Autoregressive Method of Moving Averages for the analysis of series of cases of COVID-19 in Peru
(Universidad Ricardo Palma, 2021)
Objective: To estimate an Integrated Autoregressive Moving Average model (ARIMA) for the analysis of series of COVID-19 cases, in Peru. Methods: The present study was based on a univariate time series analysis; The data ...