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On Standard Log-Fréchet and Log-log-Fréchet Laws
Mathematical Methods of StatisticszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Praveena, A. S., Ravi, S.
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Wilmott Journal, 2009
AbstractThis paper extends the pathwise adjoint method for Greeks to the displaced‐diffusion LIBOR market model and also presents a simple way to improve the speed of the method. The speed improvements of approximately 20% are achieved without using any additional approximations to those of Giles‐Glasserman.
Nick Denson, Mark S. Joshi
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AbstractThis paper extends the pathwise adjoint method for Greeks to the displaced‐diffusion LIBOR market model and also presents a simple way to improve the speed of the method. The speed improvements of approximately 20% are achieved without using any additional approximations to those of Giles‐Glasserman.
Nick Denson, Mark S. Joshi
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RUSPACE(log n ) $\subseteq$ DSPACE(log 2 n /log log n )
Theory of Computing Systems, 1998We present a deterministic algorithm running in space O(log2 n /log log n ) solving the connectivity problem on strongly unambiguous graphs. In addition, we present an O(log n ) time-bounded algorithm for this problem running on a parallel pointer machine.
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2011
Operating systems and applications typically come with mechanisms for reporting errors as well as security-relevant actions such as users logging on and off. These events are reported as entries in log files. The objective of logging is to make these events transparent and comprehensible.
David Basin +2 more
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Operating systems and applications typically come with mechanisms for reporting errors as well as security-relevant actions such as users logging on and off. These events are reported as entries in log files. The objective of logging is to make these events transparent and comprehensible.
David Basin +2 more
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1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper describes a new variant of the least-mean-squares (LMS) algorithm, with low computational complexity, for updating an adaptive filter. The reduction in complexity is obtained by using values of the input data and the output error, quantized to the nearest power of two, to compute the gradient.
S.S. Mahant-Shetti +2 more
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This paper describes a new variant of the least-mean-squares (LMS) algorithm, with low computational complexity, for updating an adaptive filter. The reduction in complexity is obtained by using values of the input data and the output error, quantized to the nearest power of two, to compute the gradient.
S.S. Mahant-Shetti +2 more
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q-log-distributions: Log-concavity and log-convexity
The European Physical Journal Plus, 2018Tsallis statistics along with Tsallis distributions have been attracting considerable attention of statisticians in recent years, since applications of the q-distributions can be found in various fields. However, only until recently, in 2018, a q -logarithm transformation has been considered in order to obtain new Tsallis distributions.
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Low Salinity Oil Recovery - Log-Inject-Log
Proceedings of Middle East Oil Show, 2003Abstract Many laboratory coreflood studies have shown increased oil recovery is achieved by waterflooding using low salinity water, compared with injection of seawater or high salinity produced water. The reasons for this improved oil recovery are thought to be due to effective wettability changes and / or controlled removal of clay ...
K.J. Webb, C.J.J. Black, H. Al-Ajeel
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What makes people watch online TV clips? An empirical investigation of survey data and viewing logs
International Journal of Information Management, 2021Sang-Hyeak Yoon +2 more
exaly