LISTSERV mailing list manager LISTSERV 16.5

Help for NADIGEST Archives


NADIGEST Archives

NADIGEST Archives


NADIGEST@LISTSERV.UTK.EDU


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

NADIGEST Home

NADIGEST Home

NADIGEST  July 2016, Week 4

NADIGEST July 2016, Week 4

Subject:

NA Digest, V. 16, # 28

From:

NA Digest Editor <[log in to unmask]>

Reply-To:

NA-Digest <[log in to unmask]>

Date:

Mon, 25 Jul 2016 09:43:59 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (381 lines)

Subject: NA Digest, V. 16, # 28

NA Digest  Monday, July 25, 2016  Volume 16 : Issue 28

Today's Editor:

	Daniel M. Dunlavy
	Sandia National Labs
	[log in to unmask]

Today's Topics:

	Ward Cheney (1929--2016)
	New Book, MM Optimization Algorithms
	New Book, Minimum-Volume Ellipsoids: Theory and Algorithms
	Solving PDEs with the FEniCS Project, France, Sep 2016
	High Performance Computational Finance, USA, Nov 2016
	BGSIAM Annual Meeting, Bulgaria, Dec 2016
	Researcher Position, Climate Simulation, Univ Kiel
	Postdoc Position, Statistics, Brazil
	Postdoc Positions, BCAM
	Doctoral Position, Mathematics, RWTH Aachen Univ (Germany)

Subscribe, unsubscribe, change address, or for na-digest archives:
	http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:
	http://icl.cs.utk.edu/na-digest/

-------------------------------------------------------

From: Anne C Elster [log in to unmask]
Date: July 20, 2016
Subject: Ward Cheney (1929--2016)

We are sad to report Prof. Elliott Ward Cheney, Jr., age 87, passed
away on July 13. Ward was born in Gettysburg, PA, the younger of two
children of Carleton (Pratt) & E. W. Cheney, Sr.. Ward was one of the
pioneers in the fields of approximation theory and numerical analysis.

His bachelor's degree in mathematics was from Lehigh University where
his father was a physics professor. With a PhD in math from The Univ.
of Kansas ('57), Ward worked at Convair Astronautics in San Diego,
where his team did calculations for the computerized guidance system
for the Atlas rocket. He worked at Space Techn. Lab. in Los Angeles
before joining the math faculty at UCLA. He was on the math faculty at
The Univ. of Texas at Austin from 1964 until retiring in 2005.

Dr. Cheney was a fellow of the American Mathematical Society and the
author or co-author of 103 research papers. He was associate editor of
ten mathematical journals and gave 165 invited lectures and colloquium
talks around the world. The author of 11 textbooks, his 1966 "An
Introduction to Approximation Theory" is considered a classic and is
still in print. While at UT Austin, he and Dr. David Kincaid published
several popular textbooks, including "Numerical Mathematics and
Computing," which was published in its 7th Edition in 2013.

Dr. Cheney's friendly demeanor is missed by his colleagues, family and
friends. Also a fine clarinetist, he was predeceased by long-time
friend and co-author, Prof. William A. Light. For 22 years, Will Light
arranged for Ward to spend May and June in Lancaster (and later,
Leicester), England. Prof. Cheney leaves behind his wife, Victoria,
and three children Margaret, Elliott and David Cheney, who all earned
doctorate degrees.

Drs. David R. Kincaid and Anne C. Elster

-------------------------------------------------------

From: Bruce Bailey [log in to unmask]
Date: July 22, 2016
Subject: New Book, MM Optimization Algorithms

Announcing the July 11, 2016 publication by SIAM of
MM Optimization Algorithms by Kenneth Lange
x + 223 pages / Hardcover / 978-1-611974-39-3 / List Price $74.00 /
SIAM Member Price $51.80 / OT147

MM Optimization Algorithms offers an overview of the MM principle, a
device for deriving optimization algorithms satisfying the ascent or
descent property. These algorithms can separate the variables of a
problem, avoid large matrix inversions, linearize a problem, restore
symmetry, deal with equality and inequality constraints gracefully,
and turn a nondifferentiable problem into a smooth problem.

The author presents the first extended treatment of MM algorithms,
which are ideal for high-dimensional optimization problems in data
mining, imaging, and genomics; derives numerous algorithms from a
broad diversity of application areas, with a particular emphasis on
statistics, biology, and data mining; and summarizes a large amount of
literature that has not reached book form before.

To order or for more about this book, including links to its Table of
Contents, Preface and Index, please visit
http://bookstore.siam.org/OT147/.


-------------------------------------------------------

From: Bruce Bailey [log in to unmask]
Date: July 22, 2016
Subject: New Book, Minimum-Volume Ellipsoids: Theory and Algorithms

Announcing the July 11, 2016, publication by SIAM of
Minimum-Volume Ellipsoids: Theory and Algorithms by Michael J. Todd
xiv + 149 pages / Softcover / 978-1-611974-37-9 / List Price $69.00 /
MOS-SIAM Member Price $48.30 / MO23

This book, the first on these topics, addresses the problem of finding
an ellipsoid to represent a large set of points in high-dimensional
space, which has applications in computational geometry, data
representations, and optimal design in statistics. The book covers the
formulation of this and related problems, theoretical properties of
their optimal solutions, and algorithms for their solution. Due to the
high dimensionality of these problems, first-order methods that
require minimal computational work at each iteration are
attractive. While algorithms of this kind have been discovered and
rediscovered over the past fifty years, their computational
complexities and convergence rates have only recently been
investigated. The optimization problems in the book have the entries
of a symmetric matrix as their variables, so the author's treatment
also gives an introduction to recent work in matrix optimization.

To order or for more about this book, including links to its Table of
Contents, Preface, and Index, please visit
http://bookstore.siam.org/MO23/.


-------------------------------------------------------

From: Ridgway Scott [log in to unmask]
Date: July 21, 2016
Subject: Solving PDEs with the FEniCS Project, France, Sep 2016

Announcing a course

Solving PDEs with the FEniCS Project
5-9 September 2016, Paris, France
Lecturers: L. Ridgway Scott (Chicago), Patrick E. Farrell (Oxford)

In this course, students will learn the basic concepts of modeling
physical phenomena using partial differential equations, and how to
easily implement fast finite element solvers for these equations with
the software provided by the FEniCS Project.

The course is aimed at those wanting to improve their skills in
modeling using PDEs, and it is ideal for industrial engineers and
advanced undergraduate and graduate students.

There are reduced registration fees for academics and students
attending this course.

For more information, go to http://cminit.com


-------------------------------------------------------

From: Matthew Dixon [log in to unmask]
Date: July 21, 2016
Subject: High Performance Computational Finance, USA, Nov 2016

WHPCF'16: 9th Workshop on High Performance Computational Finance
http://ewh.ieee.org/conf/whpcf/
Friday, November 18th, SC16

We seek contributions with a systems-oriented view of the problem. In
addition to submissions that cover aspects of implementation support
infrastructure for financial applications, we also encourage
submissions that deal with aspects of theory and algorithms. From that
perspective, topics of interest to this workshop include, but are not
restricted to:

- System software infrastructure for computational finance
- Use of hardware accelerators (FPGA, Cell, GPUs) in computational
  finance
- Financial applications of high performance computing: risk
  algorithms, algorithmic trading, arbitrage
- Computational algorithms for finance
- High-bandwidth/low-latency streaming of market data
- Cluster computing for computational finance
- Financial data center engineering
- Move from capacity to capability computing in financial applications

Important dates:
-Submission deadline: August 15th
-Author notification: September 12th
-Final version due: October 3rd


-------------------------------------------------------

From: Krassimir Georgiev [log in to unmask]
Date: July 19, 2016
Subject: BGSIAM Annual Meeting, Bulgaria, Dec 2016

10th Annual Meeting of the Bulgarian Section of SIAM is scheduled for
December 21-23, 2016, Sofia, Bulgaria
http://www.math.bas.bg/IMIdocs/BGSIAM

Following the traditions, the topics of interest include (but are not
limited to): industrial mathematics; scientific computing; numerical
methods and algorithms; hierarchical and multilevel methods; high
performance computing; partial differential equations and their
applications; control and uncertain systems; Monte Carlo and
quasi-Monte Carlo methods; neural networks, metaheuristics, genetic
algorithms.

Plenary Invited Speakers: Oleg Iliev (Fraunhofer ITWM, Kaiserslautern,
Germany); Vassil Alexandrov (Barcelona Supercomputer Center, Spain);
Ivan Markovsky (Vrije Universiteit Brussels, Belgium) and Krassimir
Danov (Faculty of Chemistry and Pharmacy, Sofia University, Bulgaria).

The participants who are going to give a talk during this event are
pleased to send an Extended Abstract (up to two pages or 3600
characters) until October 30, 2016. A booklet with the extended
abstracts will be available before the meeting. Proceedings of
refereed and presented papers will be published as a special volume of
Studies in Computational Intelligence, Springer. The abstracts and
papers are to be sent to: [log in to unmask] with a copy to
[log in to unmask]


-------------------------------------------------------

From: Thomas Slawig [log in to unmask]
Date: July 21, 2016
Subject: Researcher Position, Climate Simulation, Univ Kiel

The Research Group "Algorithmic Optimal Control - Oceanic CO---2
Uptake" in the Department of Computer Science at Kiel University
(CAU), Germany, is offering a Researcher Position in Applied
Mathematics starting as soon as possible and lasting for 31
months. The salary corresponds to 65 percent of a full position at the
level of TV-L E13 of the German public service salary scale..  We are
looking for a person with background in Applied Mathematics,
specifically in the numerical solution of (parabolic) partial
differential equations.  The position is part of the research project
"Strategies for parallelization in time and model order reduction" in
the German national climate modeling initiative "From the Last
Interglacial to the Anthropocene: Modeling a Complete Glacial Cycle
(PalMod)".  Topic is the implementation, adaptation and improvement of
parallel-in- time (also called parareal) algorithms for long-term
climate simulations. For this purpose, a fast model of lower
complexity shall be coupled to a slower one with higher resolution
(micro-macro parallel-in-time algorithm). The models are implemented
in Fortran.  Requirements are: Diploma or Master Degree in Mathematics
(or related field with strong background in numerical mathematics)
Good oral and written communication skills in English Good programming
skills in.  You will have the chance to get a deeper knowledge about
climate modeling and simulation, and to apply your expertise in
Mathematics and Computer Science to real-world problems. We offer the
opportunity to contribute to an interdisciplinary research project.
The University of Kiel is an equal opportunity employer, aiming to
increase the proportion of women in science. Applications by women are
particularly welcome.  Given equal qualifications, applicants with
severe disabilities will be given priority consideration. Applications
by people with a migration background are particularly welcomed.

Interested candidates should send an application letter including
curriculum vitae, copies of transcripts, a copy of the diploma/master
thesis and
1. a description of the "paraxial" method in algorithmic form
2. the source code of a function (in an arbitrary programming
   language) that solves an initial value problem for an arbitrarily
   given ordinary differential equation with a second order method
via e-mail to: [log in to unmask]

Please refrain from submitting application photos.  The deadline for
applications is August 15st 2016.

-------------------------------------------------------

From: Jose A Cuminato [log in to unmask]
Date: July 23, 2016
Subject: Postdoc Position, Statistics, Brazil

The Research, Innovation and Dissemination Center for Mathematical
Sciences Applied to Industry (CeMEAI), hosted by the University of São
Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation,
Brazil) is offering a 2 years Postdoctoral fellowship for candidates
with outstanding research potential.  This position is focused on the
development of Pair Copulas for Probabilistic Networks. The fellow
will work in the Institute of Mathematics and Statistics at University
of São Paulo, São Paulo, Brazil. The selected candidate will work
under the supervision of Prof.  Nikolai Kolev.  Applicants must have
received, or expect to complete, a doctorate in Statistics or related
discipline within the last 5 years.  Selection criteria will include
demonstrated research ability in Statistics or related discipline,
strong background in statistical inference, Bayesian methodology and
computation, copula modeling, probabilistic networks, experience with
analysis of high-dimensional datasets, commitment to collaborative
research, and excellent verbal and written communication skills. It is
also desirable that the candidate has previous experience working in
multidisciplinary research group, and has collaborated on research
projects with companies or government institutions.  The selected
candidate will receive FAPESP Post-Doctoral scholarship worth R $
6.819,30 monthly and Technical Reserve. The Technical Reserve
Post-Doctoral Scholarship is equivalent to 15% of the annual amount of
the scholarship and aims to meet unforeseen expenses and directly
related to the research activity.  If the selected candidate needs to
move to São Carlos (the city where is located the headquarters
research institution), he may be entitled to a financial value to move
to the city. To apply please E-mail (only PDF files), up to 07th
August, 2016, the following items to Isabela Rodrigues de Araujo at
[log in to unmask] :

1. A letter of interest, containing full contact information, year
   graduated and citizenship/immigration status, concisely responding
   to the research emphases and criteria above;
2. A CV listing educational background, research experience and
   publications;
3. A cover letter including names and contact information of two
   professionals who can recommend the candidate (no letters please).

Please indicate "CEPID Postdoc - Statistics" in the subject field of
the message.


-------------------------------------------------------

From: Miguel A. Benítez [log in to unmask]
Date: July 22, 2016
Subject: Postdoc Positions, BCAM

BCAM, the Basque Center for Applied Mathematics http://www.bcamath.org
whose mission is to develop high quality interdisciplinary research in
the frontiers of Applied Mathematics, has opened the following
positions:

One Postdoctoral Fellowship in Applied Statistics
One Postdoctoral Fellowship in Machine Learning
One Postdoctoral Fellowship in Modelling and Simulation in Life and Materials Sciences
One Postdoctoral Fellowship in Statistical Physics

Deadline for submission: September 20 2016, 17:00 [UTC/GMT + 1 hour].
All applications must be submitted on-line at:
http://www.bcamath.org/en/research/job

We kindly ask you to distribute this call among colleagues and
potential candidates. Please, do not hesitate to contact us if you
need further information: [log in to unmask]


-------------------------------------------------------

From: Julia Schmitt-Holtermann [log in to unmask]
Date: July 21, 2016
Subject: Doctoral Position, Mathematics, RWTH Aachen Univ (Germany)

Applications are invited for a doctoral position in mathematics at
RWTH Aachen University. The position is funded through the EU
Marie-Sklodowska-Curie Innovative Training Network (ITN) ModCompShock
(Modelling and Computation of Shocks and Interfaces). ModCompShock
provides an international and highly visible framework covering a wide
range of conceptual expertise. It focuses on the development of
innovative mathematical methods and computational techniques in the
general area of nonlinear hyperbolic and convection dominated partial
differential equations; see http://modcompshock.eu for more
information.

The position will be for three years, at least three months of which
are to be spent abroad at one of the partner universities or industry
partners in the ITN. The doctoral researcher is hired under an
employment contract and benefits from a monthly living allowance,
social security cover, a mobility and family allowance.

At the time of recruitment, the candidate must be in his/her first
four years (full-time equivalent research experience) of his/her
research career and not yet have been awarded a doctoral degree, and
the researcher must not have resided or carried out his/her main
activity (work, studies, etc.) in Germany for more than 12 months in
the 3 years immediately prior to the reference date.

Please check https://www.igpm.rwth-aachen.de/en/joboffers for
additional information.


-------------------------------------------------------
End of Digest
**************************

Top of Message | Previous Page | Permalink

Advanced Options


Options

Log In

Log In

Get Password

Get Password


Search Archives

Search Archives


Subscribe or Unsubscribe

Subscribe or Unsubscribe


Archives

February 2023, Week 1
January 2023, Week 5
January 2023, Week 3
January 2023, Week 1
December 2022, Week 4
December 2022, Week 3
December 2022, Week 2
December 2022, Week 1
November 2022, Week 4
November 2022, Week 1
October 2022, Week 5
October 2022, Week 4
October 2022, Week 3
October 2022, Week 2
October 2022, Week 1
September 2022, Week 4
September 2022, Week 3
September 2022, Week 2
September 2022, Week 1
August 2022, Week 5
August 2022, Week 1
July 2022, Week 4
July 2022, Week 3
July 2022, Week 1
June 2022, Week 5
June 2022, Week 3
June 2022, Week 2
June 2022, Week 1
May 2022, Week 5
May 2022, Week 4
May 2022, Week 3
May 2022, Week 2
May 2022, Week 1
April 2022, Week 4
April 2022, Week 3
March 2022, Week 5
March 2022, Week 2
March 2022, Week 1
February 2022, Week 4
February 2022, Week 2
January 2022, Week 5
January 2022, Week 4
January 2022, Week 3
January 2022, Week 2
January 2022, Week 1
December 2021, Week 4
December 2021, Week 3
December 2021, Week 1
November 2021, Week 4
November 2021, Week 3
November 2021, Week 2
October 2021, Week 4
October 2021, Week 3
October 2021, Week 2
October 2021, Week 1
September 2021, Week 4
September 2021, Week 3
September 2021, Week 1
August 2021, Week 5
August 2021, Week 4
August 2021, Week 3
August 2021, Week 2
August 2021, Week 1
July 2021, Week 4
July 2021, Week 3
July 2021, Week 2
July 2021, Week 1
June 2021, Week 4
June 2021, Week 3
June 2021, Week 2
June 2021, Week 1
May 2021, Week 5
May 2021, Week 4
May 2021, Week 3
May 2021, Week 2
May 2021, Week 1
April 2021, Week 4
April 2021, Week 3
April 2021, Week 2
April 2021, Week 1
March 2021, Week 4
March 2021, Week 3
March 2021, Week 2
February 2021, Week 3
February 2021, Week 2
January 2021, Week 5
January 2021, Week 4
January 2021, Week 2
January 2021, Week 1
December 2020, Week 4
December 2020, Week 3
December 2020, Week 2
December 2020, Week 1
November 2020, Week 4
November 2020, Week 3
November 2020, Week 2
November 2020, Week 1
October 2020, Week 4
October 2020, Week 3
October 2020, Week 2
October 2020, Week 1
September 2020, Week 4
September 2020, Week 3
September 2020, Week 2
September 2020, Week 1
August 2020, Week 5
August 2020, Week 4
August 2020, Week 3
August 2020, Week 2
August 2020, Week 1
July 2020, Week 4
July 2020, Week 3
July 2020, Week 2
June 2020, Week 4
June 2020, Week 2
June 2020, Week 1
May 2020, Week 5
May 2020, Week 4
May 2020, Week 3
May 2020, Week 2
May 2020, Week 1
April 2020, Week 4
April 2020, Week 3
April 2020, Week 2
April 2020, Week 1
March 2020, Week 5
March 2020, Week 3
March 2020, Week 2
March 2020, Week 1
February 2020, Week 4
February 2020, Week 3
February 2020, Week 2
February 2020, Week 1
January 2020, Week 4
January 2020, Week 3
January 2020, Week 2
January 2020, Week 1
December 2019, Week 5
December 2019, Week 4
December 2019, Week 3
December 2019, Week 2
December 2019, Week 1
November 2019, Week 4
November 2019, Week 3
November 2019, Week 2
November 2019, Week 1
October 2019, Week 5
October 2019, Week 3
October 2019, Week 2
October 2019, Week 1
September 2019, Week 5
September 2019, Week 4
September 2019, Week 1
August 2019, Week 4
August 2019, Week 3
August 2019, Week 2
August 2019, Week 1
July 2019, Week 4
July 2019, Week 2
July 2019, Week 1
June 2019, Week 3
June 2019, Week 2
June 2019, Week 1
May 2019, Week 4
May 2019, Week 3
May 2019, Week 2
May 2019, Week 1
April 2019, Week 4
April 2019, Week 3
April 2019, Week 2
April 2019, Week 1
March 2019, Week 5
March 2019, Week 4
March 2019, Week 3
March 2019, Week 2
March 2019, Week 1
February 2019, Week 4
February 2019, Week 3
February 2019, Week 2
February 2019, Week 1
January 2019, Week 5
January 2019, Week 3
January 2019, Week 2
January 2019, Week 1
December 2018, Week 5
December 2018, Week 4
December 2018, Week 3
December 2018, Week 2
December 2018, Week 1
November 2018, Week 4
November 2018, Week 3
November 2018, Week 2
November 2018, Week 1
October 2018, Week 5
October 2018, Week 3
October 2018, Week 1
September 2018, Week 5
September 2018, Week 4
September 2018, Week 3
September 2018, Week 2
September 2018, Week 1
August 2018, Week 4
August 2018, Week 3
August 2018, Week 2
August 2018, Week 1
July 2018, Week 5
July 2018, Week 4
July 2018, Week 3
July 2018, Week 2
July 2018, Week 1
June 2018, Week 4
June 2018, Week 3
June 2018, Week 2
June 2018, Week 1
May 2018, Week 4
May 2018, Week 3
May 2018, Week 2
May 2018, Week 1
April 2018, Week 5
April 2018, Week 4
April 2018, Week 3
April 2018, Week 2
April 2018, Week 1
March 2018, Week 4
March 2018, Week 3
March 2018, Week 2
March 2018, Week 1
February 2018, Week 4
February 2018, Week 3
February 2018, Week 2
February 2018, Week 1
January 2018, Week 4
January 2018, Week 3
January 2018, Week 2
January 2018, Week 1
December 2017, Week 5
December 2017, Week 4
December 2017, Week 3
December 2017, Week 2
November 2017, Week 4
November 2017, Week 1
October 2017, Week 4
October 2017, Week 3
October 2017, Week 1
September 2017, Week 4
September 2017, Week 3
September 2017, Week 2
September 2017, Week 1
August 2017, Week 4
August 2017, Week 3
July 2017, Week 2
July 2017, Week 1
June 2017, Week 4
June 2017, Week 2
June 2017, Week 1
May 2017, Week 4
May 2017, Week 3
May 2017, Week 2
May 2017, Week 1
April 2017, Week 4
March 2017, Week 4
March 2017, Week 2
March 2017, Week 1
February 2017, Week 4
February 2017, Week 2
February 2017, Week 1
January 2017, Week 3
January 2017, Week 2
December 2016, Week 5
December 2016, Week 3
December 2016, Week 2
December 2016, Week 1
November 2016, Week 3
November 2016, Week 2
November 2016, Week 1
October 2016, Week 4
October 2016, Week 3
October 2016, Week 2
October 2016, Week 1
September 2016, Week 4
September 2016, Week 3
September 2016, Week 2
September 2016, Week 1
August 2016, Week 5
August 2016, Week 4
August 2016, Week 2
August 2016, Week 1
July 2016, Week 4
July 2016, Week 3
July 2016, Week 1
June 2016, Week 4
June 2016, Week 3
June 2016, Week 1
May 2016, Week 5
May 2016, Week 4
May 2016, Week 3
May 2016, Week 2
May 2016, Week 1
April 2016, Week 4
April 2016, Week 3
April 2016, Week 2
April 2016, Week 1
March 2016, Week 5
March 2016, Week 4
March 2016, Week 2
March 2016, Week 1
February 2016, Week 5
February 2016, Week 3
February 2016, Week 1
January 2016, Week 5
January 2016, Week 4
January 2016, Week 3
January 2016, Week 2
January 2016, Week 1
December 2015, Week 5
December 2015, Week 2
November 2015, Week 5
November 2015, Week 4
November 2015, Week 3
November 2015, Week 1
October 2015, Week 4
October 2015, Week 3
October 2015, Week 2
September 2015, Week 5
September 2015, Week 4
September 2015, Week 2
September 2015, Week 1
August 2015, Week 4
August 2015, Week 2
July 2015, Week 5
July 2015, Week 3
July 2015, Week 2
June 2015, Week 5
June 2015, Week 4
June 2015, Week 3
June 2015, Week 2
June 2015, Week 1
May 2015, Week 4
May 2015, Week 3
May 2015, Week 2
May 2015, Week 1
April 2015, Week 4
April 2015, Week 2
April 2015, Week 1
March 2015, Week 5
March 2015, Week 4
March 2015, Week 3
March 2015, Week 2
March 2015, Week 1
February 2015, Week 4
February 2015, Week 3
February 2015, Week 2
February 2015, Week 1
January 2015, Week 4
January 2015, Week 3
January 2015, Week 1
December 2014, Week 5
December 2014, Week 4
December 2014, Week 3
December 2014, Week 2
December 2014, Week 1
November 2014, Week 4
November 2014, Week 3
November 2014, Week 2
October 2014, Week 5
October 2014, Week 4
October 2014, Week 3
October 2014, Week 2
October 2014, Week 1
September 2014, Week 4
September 2014, Week 3
September 2014, Week 2
September 2014, Week 1
August 2014, Week 4
August 2014, Week 3
August 2014, Week 2
August 2014, Week 1
July 2014, Week 5
July 2014, Week 3
July 2014, Week 2
June 2014, Week 5
June 2014, Week 4
June 2014, Week 3
June 2014, Week 2
June 2014, Week 1
May 2014, Week 4
May 2014, Week 3
May 2014, Week 2
May 2014, Week 1
April 2014, Week 4
April 2014, Week 3
April 2014, Week 2
April 2014, Week 1
March 2014, Week 5
March 2014, Week 4
March 2014, Week 3
February 2014, Week 3
February 2014, Week 1
January 2014, Week 3
January 2014, Week 1
December 2013, Week 3
December 2013, Week 2
December 2013, Week 1
November 2013, Week 4
November 2013, Week 3
November 2013, Week 2
November 2013, Week 1
October 2013, Week 4
October 2013, Week 2
October 2013, Week 1
September 2013, Week 4
September 2013, Week 3
September 2013, Week 2
August 2013, Week 4
August 2013, Week 3
July 2013, Week 5

ATOM RSS1 RSS2



LISTSERV.UTK.EDU

CataList Email List Search Powered by the LISTSERV Email List Manager