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:

Monospaced Font

LISTSERV Archives

LISTSERV Archives

NADIGEST Home

NADIGEST Home

NADIGEST  May 2019, Week 2

NADIGEST May 2019, Week 2

Subject:

NA Digest, V. 19, # 19

From:

NA Digest Editor <[log in to unmask]>

Reply-To:

NA-Digest <[log in to unmask]>

Date:

Sun, 12 May 2019 22:51:22 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (593 lines)

Subject: NA Digest, V. 19, # 19

NA Digest Sunday, May 12, 2019 Volume 19 : Issue 19

Today's Editor:

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

Today's Topics:

New MOOC on Programming for High Performance
New Book, Linear Algebra and Learning from Data
2019 Golub Memorial Workshop, China, Apr 2019
Basilisk/Gerris Users' Meeting, France, Jun 2019
NUMTA2019, Italy, Jun 2019
French-German-Swiss Conference on Optimization, France, Sep 2019
Induction Course for New Lecturers in the Mathematical Sciences, Sep 2019
Mathematical Modelling and Computational Methods, Czech Republic, Sep 2019
Mathematical and Computational Aspects of Machine Learning, Italy, Oct 2019
Domain Decomposition Methods (DD26), China, Dec 2019
HPC Asia 2020, Japan, Jan 2020
Software Engineer Position, IBM
Postdoc Positions, Mathematical Imaging/Optimization/Inverse Problems, Shenzhen Univ
PhD & Postdoc Positions, Uncertainty Quantification, DTU, Denmark
Predoc Position, TU-Vienna, Austria
Contents, Constructive Approximation, 49 (2)

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

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

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

From: Robert van de Geijn [log in to unmask]
Date: May 11, 2019
Subject: New MOOC on Programming for High Performance

New MOOC on Programming for High Performance

We are excited to announce that edX has opened registration for
"LAFF-On Programming for High Performance" [1]. This free-to-audit,
four-week, self-paced course developed by UT-Austin faculty Robert van
de Geijn, Maggie Myers, and Devangi Parikh starts on June 4, 2019.

The course uses the simple but important example of matrix-matrix
multiplication to illustrate fundamental techniques for attaining
high-performance on modern CPUs. A carefully designed sequence of
exercises leads the learner from a naive implementation to one that
effectively utilizes instruction level parallelism and culminates in a
high-performance, multithreaded implementation. Along the way, it is
discovered that careful attention to data movement is key to efficient
computing. In other words, learners are exposed to techniques for
attaining high performance through carefully scaffolded exercises that
illustrate how the BLAS-like Library Instantiation Software (BLIS) [2]
implements dgemm, which is itself based on Goto's algorithm [3].

We believe this course is appropriate for a novice yet of interest to
an expert. It may be, for example, a great way to get a summer intern
quite literally up to speed. Others may want to use it as a component
in a class they teach. Some learners may merely come to the
conclusion that they should be using high-performance libraries.
Others may find they enjoy low level optimization.

Please help us spread the word!

[1] https://www.edx.org/course/laff-on-programming-for-high-performance

[2] Field G. Van Zee, Robert A. van de Geijn. BLIS: A Framework for
Rapidly Instantiating BLAS Functionality. ACM TOMS, 2015.

[3] Kazushige Goto, Robert A. van de Geijn. Anatomy of
high-performance matrix multiplication. ACM TOMS, 2008.


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

From: Gilbert Strang [log in to unmask]
Date: May 07, 2019
Subject: New Book, Linear Algebra and Learning from Data

2019 / xiv + 432 pages / Hardcover / 978-0692196-38-0 /
Wellesley-Cambridge Press / List $87.50 / Individuals $70.00

This textbook explains the structure of deep learning, which
constructs a function F(v) that correctly classifies the samples v in
the training set. F is created from a chain of much simpler functions
f(v) = max (Av + b, 0). The matrices A and the vectors b are the
"weights" to be optimized. For applications to images, A is often a
well localized convolution matrix.

The heart of the book develops -- as clearly as we can -- the linear
algebra and optimization methods and probability/statistics that go
into the success of the learning function F.

Please see detailed contents and complete sections on the book's
website http://math.mit.edu/~gs/learningfromdata

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

From: Walter Gander [log in to unmask]
Date: May 08, 2019
Subject: 2019 Golub Memorial Workshop, China, Apr 2019

The 2019 Gene Golub Memorial Workshop was held at Lanzhou University,
Lanzhou, China, on April 19-23, 2019. This annual international
workshop on matrix computations is dedicated to celebrating the life
of the late Professor Gene Golub (February 29, 1932 - November 16,
2007) of Stanford University, USA. Gene was one of the very few
preeminent scientists/engineers who was elected to both the USA
National Academy of Sciences and the USA National Academy of
Engineering. At the workshop, we reminisced about another side of
Gene, the generous senior educator who always went out of his way to
advise and help the next generation. About 60 people attended the
workshop. They included senior researchers, young scholars, and
graduate students. There were 13 invited speakers: Michele Benzi from
Italy, Walter Gander and Martin H. Gutknecht from Switzerland, Wai-Ki
Ching, Franklin T. Luk, and Tie-Yong Zeng from Hong Kong, and
Zhong-Zhi Bai, Dan-Fu Han, Yu-Mei Huang, Zeng-Qi Wang, Rui-Ping Wen,
You-Wei Wen, and Yu-Jiang Wu from the mainland of China. To follow in
Gene's footsteps to encourage young researchers, the workshop
initiated two Best Presentation awards. Professors Zhong-Zhi Bai,
Michele Benzi, Walter Gander, Martin H. Gutknecht, and Franklin T. Luk
constituted the Prize Committee. They chose Zeng-Qi Wang of Shanghai
Jiao Tong University for the best oral presentation, and Jun-Feng Yin
of Tongji University, Shanghai, for the best poster presentation.
Each winner received a plaque, a certificate, and a small gift.

The two organizers, Zhong-Zhi Bai and Yu-Mei Huang, did an excellent
job and provided a nurturing environment for academic exchanges
between the presenters and the students. The workshop received
generous funding support from Lanzhou University and the Tianyuan
Mathematical Center in Northwest China. This is the second time the
Golub Memorial Workshop was held in the mainland of China. The first
time was April 20-24, 2018, at the Hangzhou Normal University,
Hangzhou. Previously, the Workshop was held for ten years from 2008
to 2017 at the Hong Kong Baptist University in Hong Kong.

We are proud to show by example that Gene was wrong in his private
remark to one of us, "No one will remember me five years after I pass
away."

For more details, please visit the website:
http://lsec.cc.ac.cn/~NASCNAG/
Walter Gander and Franklin Luk


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

From: Stephane Popinet [log in to unmask]
Date: May 06, 2019
Subject: Basilisk/Gerris Users' Meeting, France, Jun 2019

The 5th Basilisk/Gerris Users' Meeting will be held in Paris from the
17th to 19th June 2019.

The meeting is dedicated to the presentation of scientific results
obtained using the Basilisk and Gerris free softwares in a broad range
of fields including fluid mechanics, engineering, environmental
science etc. Have a look at the web page of the previous meeting
(http://basilisk.fr/BGUM2017) for examples of presentations.

The meeting is free of charge but registration is mandatory. To
register just follow the instructions on the meeting web page:
http://basilisk.fr/BGUM2019#participants

We would like to finalize the program early, so please try to register
before the 17th of May. Do not forget to indicate a title for your
presentation if you would like to talk.

If you have already registered, please note that an extra day (19th)
has been added to the meeting and that you are encouraged to vote on
what should be covered that day. See:
http://basilisk.fr/BGUM2019#informal-session-on-the-19th

We will also provide a few travel scholarships for students wishing to
attend but with limited funds. See:
http://basilisk.fr/BGUM2019#travel-scholarships


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

From: Dmitri Kvasov [log in to unmask]
Date: May 06, 2019
Subject: NUMTA2019, Italy, Jun 2019

NUMTA2019 - the 3rd International Conference and Summer School
"Numerical Computations: Theory and Algorithms" will be held in Italy
in the All Inclusive "TH Le Castella Village" resort close to Crotone
- the city of Pythagoras, from 15th to 21st June 2019.

Numerical analysis, continuous optimization, and emerging computations
are among the main topics of the Conference (see
https://easychair.org/cfp/numta2019 for the NUMTA2019 Call-for-Papers).

Plenary lectures will be delivered by Lou D'Alotto (USA), Renato De
Leone (Italy), Kalyanmoy Deb (USA), Luca Formaggia (Italy), Jan
Hesthaven (Switzerland), Francesca Mazzia (Italy), Panos Pardalos
(USA), Michael Vrahatis (Greece), Anatoly Zhigljavsky (UK). Tutorials
will be given by Roberto Natalini (Italy) and Yaroslav Sergeyev
(Italy).

The Springer Young Researcher Prize for the best NUMTA2019
presentation made by a young scientist will be awarded (applications
can be sent by May 15, 2019).

Proceedings will be published as a special volume of the
world-renowned Springer "Lecture Notes in Computer Science" and will
contain regularly peer-reviewed short and full papers (to be submitted
by May 30, 2019). One-page abstracts of presentations at NUMTA2019
will be published as online Book of abstracts with its own ISBN (to be
submitted by May 15, 2019:
http://si.dimes.unical.it/~yaro/numta2019/abssubmit.php).

Please consult the Conference web-site
http://si.dimes.unical.it/~yaro/numta2019 for more details and contact
the Organizers at [log in to unmask] for information.

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

From: Jean-Baptiste Caillau [log in to unmask]
Date: May 06, 2019
Subject: French-German-Swiss Conference on Optimization, France, Sep 2019

FGS'2019

Submissions (talks & MS) deadline: May 15, 2019
Registrations are now open, early bird deadline: June 30, 2019

The 19th French-German-Swiss conference on Optimization will take
place in Nice from September 17 to 20, 2019. This series of
conferences began in 1980 at Oberwolfach and has gathered since French
and German colleagues in optimization every other year. It is
customary to invite a third country to participate.

In 2019, the invited country is Switzerland.

Theses conferences usually gather from 100 to 150 mathematicians and
are the main meeting of European researchers in optimization in the
broad sense. The 2019 edition is organized by LJAD and I3S labs from
CNRS, and by Inria Sophia Antipolis Mediterranee center. The
conference will be located on the Valrose campus of Universite Cote
d'Azur, on the heights of Nice.

A limited number of grants has been planned to cover the registration
fees for students (undergraduate, graduate or postdoc). Students
wanting to apply for these grants shall
- send an email to [log in to unmask] including a cv and asking
  for a grant
- submit a talk (contributed or within a mini-symposium)

before May 15, 2019.

More information: fgs-2019.sciencesconf.org

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

From: Pamela Bye [log in to unmask]
Date: May 10, 2019
Subject: Induction Course for New Lecturers in the Mathematical Sciences, Sep 2019

Isaac Newton Institute for Mathematical Sciences, Cambridge
18 - 19 September 2019

Through a community initiative supported by the Institute of
Mathematics and its Applications, the Isaac Newton Institute for
Mathematical Sciences and the Heads of Departments of Mathematics
Sciences (HoDoMS) and endorsed by the Royal Statistical Society, the
Operational Research Society and the London Mathematical Society, we
are delighted to announce that in September 2019 the two-day Induction
Course for lecturers new to teaching mathematics and statistics within
Higher Education will once again take place. The Induction Course for
New Lecturers in the Mathematical Sciences has been designed by the
mathematics community so that it is ideally suited for anyone who is
new to or has limited experience teaching mathematics or statistics
within UK higher education. It will be delivered by individuals with
significant experience of teaching in the mathematical sciences and
will focus upon the specific details and issues that arise in
mathematics and statistics teaching and learning within higher
education including topics such as: Lecturing; Supporting student
learning; Making teaching interactive; Assessment, examinations and
feedback; Linking teaching & research; Using technology to enhance
teaching and learning; Using examples and mathematical problem solving.

Additionally there will be significant opportunities for delegates to
discuss their own ideas, challenges and experiences with the session
facilitators so that individual queries can be answered. In the past,
attendance has been recognised as contributing towards some
introductory institutional programmes in learning and teaching for new
staff, and for the 2019 Induction Course accreditation will be
provided through the Institute of Mathematics and its Applications
relative to the UK Professional Standards Framework for Teaching and
Supporting Learning in Higher Education.

Website for further information: https://ima.org.uk/11361/induction-course-for-new-
lecturers-in-the-mathematical-sciences-2019/

For questions or queries about the academic content or structure of
the Induction Course, please contact Michael Grove: [log in to unmask]

For questions or queries about the administration of the Induction
Course, please contact the IMA Conference Officer at:
[log in to unmask]


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

From: Radim Blaheta [log in to unmask]
Date: May 12, 2019
Subject: Mathematical Modelling and Computational Methods, Czech Republic, Sep 2019

The 7th Conference MODELLING 2019 on Mathematical Modelling and
Computational Methods will be held in Olomouc, Czech Republic,
September 16-20, 2019. For the details, see
http://www.ugn.cas.cz/link/modelling19

New deadlines: May 31, 2019 for Abstract submission (can be even later
after an agreement with conference and minisymposia organizers). Early
registration and payment Jun 15, 2019.

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

From: Michele Benzi [log in to unmask]
Date: May 09, 2019
Subject: Mathematical and Computational Aspects of Machine Learning, Italy, Oct 2019

School on Mathematical and Computational Aspects of Machine Learning
(Pisa, 7-11 October 2019)

The School will take place at the Ennio De Giorgi Mathematical
Research Center ofthe Scuola Normale Superiore in Pisa, Italy, on
October 7-11, 2019. The lectures will give a broad overview of the
rapidly evolving field of Machine Learning from a mathematical,
statistical, and computational perspective. The school is aimed
primarily at PhD students, post-docs and young researchers.

Lecturers and Topics:
- Jean Barbier (ICTP Trieste): Mean Field Theory of High-Dimensional
  Bayesian Inference
- Philipp Grohs (U. of Vienna): Approximation theory, Numerical Analysis
  and Deep Learning
- Gabriel Peyre` (ENS Paris and CNRS): Optimal Transport for Data
  Science
- Lars Ruthotto (Emory U.): Numerical Methods for Deep Learning
- Stefano Soatto and Alessandro Achille (UCLA): Representation Learning

Participation is free but limited to a maximum of 90 participants.
There will be the possibility for a small number (10-12) of
participants to give a short communication on their own work in the
field of ML.

Deadlines:
Submission of abstracts: July 31, 2019 [decision by August 15]
Application to participate: August 31, 2019 [decision by September 15]

For more information and instructions on how to apply, please see
http://crm.sns.it/event/451


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

From: Felix Kwok [log in to unmask]
Date: May 09, 2019
Subject: Domain Decomposition Methods (DD26), China, Dec 2019

We are pleased to announce that the Chinese University of Hong Kong
(CUHK) will be hosting the 26th International Conference on Domain
Decomposition Methods (DD26) in Hong Kong, China from December 2 to 6,
2019. The purpose of the conference is to bring together
mathematicians, computational scientists and engineers who work in the
main themes of Domain Decomposition, including theoretical,
algorithmic and implementation aspects of domain decomposition
methods, solvers for multiphysics problems, parallel-in-time methods,
multigrid and multilevel methods, fast solvers and preconditioning,
and applications of such methods in physics and engineering.

Registration will open shortly. In the meantime, we would like to
extend our invitation for your participation and contributions. We are
now ready to receive proposals for minisymposia that fit the themes of
Domain Decomposition. Please provide a title, a short description of
the subject matter, and a list of speakers for the
minisymposium. Minisymposia may span one or more sessions, with each
session consisting of four 25-minute talks, with an additional 5
minutes after each talk for questions. Please submit your proposals as
a plain text e-mail to [log in to unmask] before June 15, 2019.

For more information, including the list of confirmed plenary
speakers, please visit the conference website at
http://www.math.cuhk.edu.hk/conference/dd26,
or e-mail us at [log in to unmask]


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

From: Takeshi Fukaya [log in to unmask]
Date: May 07, 2019
Subject: HPC Asia 2020, Japan, Jan 2020

HPC Asia 2020 - Call for Papers

HPC Asia: International Conference on High Performance Computing in
Asia-Pacific Region, January 15-17, 2020, Fukuoka, Japan

High performance computing is a key technology to solve large problems
in science, engineering, and business by utilizing computing power
which has been evolving to the future. HPC Asia, which is an
international conference series on HPC technologies in Asia Pacific
region, and was held in the past several times in several countries in
Asia regional site to discuss the issues on high performance computing
and to exchange information of research and development results.
Following the success in 2018 and 2019, the International Conference
on High Performance Computing in Asia-Pacific Region, or HPC Asia 2020
is organized in order to exchange ideas, case studies, and research
results related to all issues of high performance computing.

Important Dates:
- Abstract submissions due: August 2, 2019 (AoE, Anywhere on Earth,
  UTC-12)
- Paper submissions due: August 9, 2019 (AoE, Anywhere on Earth,
  UTC-12)
- Notification of Acceptance: October 14, 2019
- Camera-ready papers due: November 1, 2019
- Conference: January 15-17, 2020

Conference Web page: http://sighpc.ipsj.or.jp/HPCAsia2020/
E-mail contact: [log in to unmask]


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

From: Jacob Jelden [log in to unmask]
Date: May 07, 2019
Subject: Software Engineer Position, IBM

The IBM ESSL team is in search of a Software Engineer to be part of an
exciting opportunity to work on mathematical software for the next
generation of supercomputers.The primary jobis to design, develop and
validate high performing hybrid (CPU & GPU) scalable mathematical
software. Additionally you may have the opportunity to expand your
knowledge by working directly with other IBM teams, partners and
customers to collaborate on designs and to solve system level problems
related to compilers, GPU programming, Linux kernels and other
software technologies. Qualified candidates will be expected to
develop new subroutines and tune existing subroutines for new systems,
processors, and GPUs as well as assist with other activities related
to product delivery (e.g. build, test, packaging, support).

If you are interested in this opportunity, please visit
http://ibm.biz/227990BR for a more detailed description and submit you
application.


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

From: J. Lu [log in to unmask]
Date: May 09, 2019
Subject: Postdoc Positions, Mathematical Imaging/Optimization/Inverse Problems, Shenzhen Univ

Postdoc Positions in Shenzhen University, China
Location: Shenzhen, China
Job Type: Full-Time
Duration: 2 years
Number of Position: 4 Positions
Closing Date: Open Until Filled

Description: We are looking for Postdoctoral Researchers in
Image/Video Processing/Analysis,Mathematical Imaging, Optimization,
Inverse Problems, Wavelet analysis, etc.

We have no teaching tasks and check in / check out policy for
Postdoctoral Researchers.

Promotors:
- Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning
  and Applications, College of Mathematics, Shenzhen University)
- Prof. Lixin Shen (Syracuse University, USA)

The salary is about 330,000 RMB (49,000 US dollars) per year, of which
180,000 RMB per year is after-tax. Those who are interested please
send their C.V. to Prof. Dr. Jian Lu, e-mail: [log in to unmask];
[log in to unmask]


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

From: Per Christian Hansen [log in to unmask]
Date: May 10, 2019
Subject: PhD & Postdoc Positions, Uncertainty Quantification, DTU, Denmark

The Technical University of Denmark opens a 3-year PhD position and a
2-year postdoc position, both starting Sept. 1, 2019 (or as soon as
possible after that). The positions are part of the research project
CUQI, Computational Uncertainty Quantification for Inverse Problems.
For details see: https://www.compute.dtu.dk/english/cuqi

The project's goal is to create a computational platform, suited for
non-experts in academia and industry. A core problem is to formulate
appropriate models of the priors for the desired solution and the
reconstruction model, and to use these priors in large-scale numerical
computations. E.g., we must handle solution priors for edges in an
image, and we must incorporate hyperpriors in a reconstruction model
to handle uncertain aspects of the physics and the acquisition model.

The PhD project focuses on either one or both aspects of UQ, and it
involves development of theory as well as computational algorithms,
plus evaluation of the results on selected inverse problems. The
applicant must have experience with mathematical modeling and
analysis, as well as computational algorithms. For more details and
to apply: https://tiny.cc/CUQI-PhD-1

The postdoc will be responsible for developing UQ models and methods
that can handle a broad class of non-Gaussian and systematic errors in
inverse problems, and for implementing and testing these methods by
efficient and stable numerical algorithms. The aim is to develop a
systematic and user-friendly approach - possibly using suitable
approximations. The end result is a first attempt at producing an
abstraction level that lets users focus on modeling and data analysis
instead of mathematical details and low-level algorithm aspects. For
more details and to apply: https://tiny.cc/CUQI-Postdoc-1

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

From: Anton Arnold [log in to unmask]
Date: May 08, 2019
Subject: Predoc Position, TU-Vienna, Austria

- Job vacancy in the research group of Anton Arnold, at TU Vienna,
  30 hours/week
- Start: 1.6.2019 (or soon after), 4 years
- Annual gross salary: 30.077 EUR

Scientific topic: Numerical methods for highly oscillatory
differential equations.

  The development of efficient numerical methods for highly
oscillatory differential equations (e.g. Schroedinger equation in the
classical limit) should be continued. On top of the employment at TU
Vienna, an association with the ongoing doctoral school "Dissipation
and dispersion in nonlinear partial differential equations" is
offered, for details see: http://asc.tuwien.ac.at/~npde/

Requirements: completed master or diploma studies in mathematics;
solid knowledge of (partial) differential equations and numerical
analysis; programming experience

The position comes with a teaching load of max. 4h/week (exercise
classes).

Application for position # 146.2: via e-mail to
[log in to unmask] ; deadline 23.05.2019

For further scientific information contact: [log in to unmask]
http://www.asc.tuwien.ac.at/~arnold/

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

From: Ed Saff [log in to unmask]
Date: May 06, 2019
Subject: Contents, Constructive Approximation, 49 (2)

Constructive Approximation
Volume 49, Issue 2, April 2019
http://link.springer.com/journal/365
Table of Contents

Non-Self-Adjoint Toeplitz Matrices Whose Principal Submatrices Have
Real Spectrum, Boris Shapiro and Frantisek Stampach

Pluripotential Numerics, Federico Piazzon

Behavior of the Roots of the Taylor Polynomials of Riemann's Psi
Function with Growing Degreem Robert Jenkins and Ken
D. T.-R. McLaughlin

Solutions of Complex Differential Equation Having Pre-Given Zeros in
the Unit Disc, Janne Groehn

The Saff-Varga Width Conjecture and Entire Functions with Simple
Exponential Growth, Antonio R. Vargas

Optimal Monte Carlo Methods for L^2-Approximation, David Krieg

On Mahler's Transcendence Measure for e, Anne-Maria Ernvall-Hytonen,
Tapani Matala-aho, and Louna Seppala


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

April 2024, Week 3
March 2024, Week 3
March 2024, Week 1
February 2024, Week 2
February 2024, Week 1
January 2024, Week 5
January 2024, Week 3
December 2023, Week 3
December 2023, Week 2
November 2023, Week 5
November 2023, Week 3
November 2023, Week 2
November 2023, Week 1
October 2023, Week 4
October 2023, Week 3
October 2023, Week 2
October 2023, Week 1
September 2023, Week 4
September 2023, Week 3
August 2023, Week 3
July 2023, Week 1
June 2023, Week 2
May 2023, Week 3
May 2023, Week 1
April 2023, Week 2
March 2023, Week 4
March 2023, Week 3
March 2023, Week 2
February 2023, Week 4
February 2023, Week 2
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