12,512 research outputs found
Correction. Brownian models of open processing networks: canonical representation of workload
Due to a printing error the above mentioned article [Annals of Applied
Probability 10 (2000) 75--103, doi:10.1214/aoap/1019737665] had numerous
equations appearing incorrectly in the print version of this paper. The entire
article follows as it should have appeared. IMS apologizes to the author and
the readers for this error. A recent paper by Harrison and Van Mieghem
explained in general mathematical terms how one forms an ``equivalent workload
formulation'' of a Brownian network model. Denoting by the state vector
of the original Brownian network, one has a lower dimensional state descriptor
in the equivalent workload formulation, where can be chosen as
any basis matrix for a particular linear space. This paper considers Brownian
models for a very general class of open processing networks, and in that
context develops a more extensive interpretation of the equivalent workload
formulation, thus extending earlier work by Laws on alternate routing problems.
A linear program called the static planning problem is introduced to articulate
the notion of ``heavy traffic'' for a general open network, and the dual of
that linear program is used to define a canonical choice of the basis matrix
. To be specific, rows of the canonical are alternative basic optimal
solutions of the dual linear program. If the network data satisfy a natural
monotonicity condition, the canonical matrix is shown to be nonnegative,
and another natural condition is identified which ensures that admits a
factorization related to the notion of resource pooling.Comment: Published at http://dx.doi.org/10.1214/105051606000000583 in the
Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute
of Mathematical Statistics (http://www.imstat.org
An extension of Kedlaya's algorithm for hyperelliptic curves
In this paper we describe a generalisation and adaptation of Kedlaya's
algorithm for computing the zeta function of a hyperelliptic curve over a
finite field of odd characteristic that the author used for the implementation
of the algorithm in the Magma library. We generalise the algorithm to the case
of an even degree model. We also analyse the adaptation of working with the
rather than the differential basis. This basis has the
computational advantage of always leading to an integral transformation matrix
whereas the latter fails to in small genus cases. There are some theoretical
subtleties that arise in the even degree case where the two differential bases
actually lead to different redundant eigenvalues that must be discarded.Comment: v3: some minor changes and addition of a reference to a paper by Theo
van den Bogaar
Explicit Solution By Radicals, Gonal Maps and Plane Models of Algebraic Curves of Genus 5 or 6
We give explicit computational algorithms to construct minimal degree (always
) ramified covers of \Prj^1 for algebraic curves of genus 5 and 6.
This completes the work of Schicho and Sevilla (who dealt with the
case) on constructing radical parametrisations of arbitrary genus curves.
Zariski showed that this is impossible for the general curve of genus .
We also construct minimal degree birational plane models and show how the
existence of degree 6 plane models for genus 6 curves is related to the
gonality and geometric type of a certain auxiliary surface.Comment: v3: full version of the pape
SKA Engineering Change Proposal: Gridded Visibilities to Enable Precision Cosmology with Radio Weak Lensing
This document was submitted as supporting material to an Engineering Change
Proposal (ECP) for the Square Kilometre Array (SKA). This ECP requests gridded
visibilities as an extra imaging data product from the SKA, in order to enable
bespoke analysis techniques to measure source morphologies to the accuracy
necessary for precision cosmology with radio weak lensing. We also discuss the
properties of an SKA weak lensing data set and potential overlaps with other
cosmology science goals.Comment: Comments welcome. 4 pages, 3 figures. Progress can be tracked at the
SKA ECP register https://skaoffice.atlassian.net/wiki/display/EP/ECP+Registe
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