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NADIGEST  July 2021, Week 1

NADIGEST July 2021, Week 1


NA Digest, V. 21, # 25


NA Digest Editor <[log in to unmask]>


NA-Digest <[log in to unmask]>


Tue, 6 Jul 2021 11:44:57 -0600





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Subject: NA Digest, V. 21, # 25

NA Digest  Tuesday, July 06, 2021  Volume 21 : Issue 25

Today's Editor:

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

Today's Topics:

        New Book, Sparse Solutions of Underdetermined Linear Systems
        Ghana Numerical Analysis Day, ONLINE, Aug 2021
        Applied and Industrial Mathematics, Germany, Oct 2021
        Optimization and Market Design, ONLINE, Oct 2021
        Young Mathematicians in Model Order Reduction, Germany, Mar 2022
        Facullty Position, Data-driven Computational Modeling, KU Leuven
        Tenure Track Faculty Positions. Univ Nacional de Colombia.
        Tenure Track Position, Mathematical Epidemiology, UHasselt, Belgium
        Tenure Track Position, Uncertainty Quantification, KIT
        Postdoc Position, Applied Mathematics, Imperial College London
        Postdoc Position, Texas A&M Univ-San Antonio
        Praedoc Position, Data Science, University of Vienna
        Graduate Research Position, Deep Learning, Los Alamos
        PhD Position, Fractional Differential Equations
        PhD Positions, Computer Science, Univ of Pisa, Florence and Siena
        PhD Positions, Mathematics and Computer Science, Univ of Pisa
        CFP,  Intl J on Geomathematics
        Contents, Adv. Comput. Math., 47 (3)
        Contents, Applied and Computational Mathematics, 20 (2)

Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:


From: Kris ONeill [log in to unmask]
Date: June 28, 2021
Subject: New Book, Sparse Solutions of Underdetermined Linear Systems

Sparse Solutions of Underdetermined Linear Systems and Their
Applications by Ming-Jun Lai and Yang Wang

This textbook presents a special solution to underdetermined linear
systems where the number of nonzero entries in the solution is very
small compared to the total number of entries. This is called a sparse
solution.  Since underdetermined linear systems can be very different,
the authors explain how to compute a sparse solution using many
approaches. The book contains 64 algorithms for finding sparse
solutions of underdetermined linear systems and their applications for
matrix completion, graph clustering, and phase retrieval, and provides
a detailed explanation of these algorithms including derivations and
convergence analysis. Exercises for each chapter help readers
understand the material.

SIAM bookstore:

2021 / xviii + 439 pages / Softcover / 978-1-611976-50-2 / List $89.00
/ SIAM Member $62.30 / OT170


From: Stephen Moore [log in to unmask]
Date: July 02, 2021
Subject: Ghana Numerical Analysis Day, ONLINE, Aug 2021

Ghana Numerical Analysis invites you to its maiden Ghana Numerical
Analysis Day (ONLINE) from August 25-26, 2021.

The goal of this workshop is to inform about research activities in
the areas of numerical analysis and applied mathematics. Students,
post-docs, faculty and scientists from Ghanaian universities and other
research institutions are invited to present their results/interests
and discuss their ideas. Apart from strengthening already established
contacts, this workshop also hopes to provide an opportunity to start
new collaborations.  It will be a two-day event with contributed talks
of 20 minutes including questions and 5 minutes for Poster

There is no registration fee, however, all interested participants are
required to register.

Registration to participate via online platform and to receive the
link is open on the workshop website via

The application deadline is August 14, 2021.


From: Bernd Simeon [log in to unmask]
Date: July 02, 2021
Subject: Applied and Industrial Mathematics, Germany, Oct 2021

The first Kaiserslautern Applied and Industrial Mathematics Days -
KLAIM will take place in Kaiserslautern, Germany, from October 11-13,
2021.  The purpose of this workshop is to provide a forum for applied
mathematicians from academia, research labs and industry to exchange
ideas and to showcase recent results. Hosted jointly by the
Fraunhofer- Institute for Industrial Mathematics and the Department of
Mathematics at the TU Kaiserslautern, the event is planned on-site.
Provisions for a hybrid format will be made to bring together "roomies
and zoomies" if the ongoing COVID-19 pandemic necessitates this.

Plenary speakers: Annalisa Buffa (EPF Lausanne), Olivier Bruls (Liege
Universite), Dimitris Bertsimas (MIT Boston), Dick den Hertog (Tilburg
University), Mario Ohlberger (Universitat Munster).

The program will be structured along the three tracks
- Hybrid System Simulation - Classic Modeling and Control Meet
  Artificial Intelligence, with track plenaries given by Martin Arnold
  (Martin- Luther-Universitat Halle-Wittenberg), Matthias Gerdts
  (Universitat BW Munchen), Claudia Schillings (Universitat Mannheim)
- Multiscale Methods and Model Order Reduction, with track plenaries
  given by Francisco Chinesta (ENSAM Institute of Technology Paris),
  Nicole Marheineke (Universitat Trier)
- Integration of Optimization and Data Science, with track plenary
  given by Alexander Martin (Friedrich-Alexander-Universitat Erlangen-

Submission of abstracts: July 30th, 2021
Notification of acceptance: August 20th, 2021
Registration and payment of conference fee: September 10th, 2021

Find out more at:


From: Volker Schulz [log in to unmask]
Date: July 02, 2021
Subject: Optimization and Market Design, ONLINE, Oct 2021

Data intensive firms like Uber, AirBnB, Deliveroo and the European
Electricity Markets play the role of market makers connecting buyers
with sellers. They must, among other things, monitor quality,
standardize offerings so as to operate at scale, determine prices and
facilitate search.  Optimization plays a fundamental role in the
design of the rules of a marketplace. What distinguishes the
optimization problems in this setting from classical resource
allocation problems is the role of incentives. How should they be
incorporated into optimization models?

The ALOP (DFG Research Training group 2126 "Algorithmic Optimization")
Autumn School on "Optimization and Market Design", taking place Oct. 3
- Oct. 7, 2021, will provide an overview of the mathematical
challenges that such questions present from some of the leading
authorities on the subject:
- Rakesh V. Vohra (UPenn) "Allocating Indivisible Goods"
- Moshe Babaioff (Microsoft Research) "How to Maximize Profit When
  Selling Multiple Items?"
- Garrett van Ryzin (Amazon's Supply Chain Optimization Technologies)
  "Minimum Earnings Regulation and the Stability of Marketplaces"
- Martin Bichler (TU Munich) "Equilibrium Computation in Markets"

Due to the current circumstances, the autumn school will take place
online via Zoom meetings. Registration and participation is free of
charge.  The registration deadline is August 30th, 2021.  We also plan
to have a poster session and a poster award.

All relevant information, updates and registration information can be
found at


From: Hendrik Kleikamp [log in to unmask]
Date: July 02, 2021
Subject: Young Mathematicians in Model Order Reduction, Germany, Mar 2022

We are happy to announce the Young Mathematicians in Model Order
Reduction (YMMOR) conference taking place in Munster, Germany, on
March 21-25, 2022.

The YMMOR conference aims at bringing together early career
researchers that are working in the broad field of Model Order
Reduction and related topics. Therefore, the focus of the conference
is to foster scientific exchange and networking among PhD students,
master students, and early postdocs.

For more information please visit
or contact us directly via [log in to unmask]

Registration is already open under

You are welcome to share this announcement and display the poster
(available on our webpage) at your institute.


From: Panos Patrinos [log in to unmask]
Date: June 28, 2021
Subject: Facullty Position, Data-driven Computational Modeling, KU Leuven

The Department of Electrical Engineering (ESAT) at KU Leuven is
seeking to fill a full-time position of a tenure-track assistant
professor in "data- driven computational modelling of dynamical
systems in health and industry". The successful candidate will join
the STADIUS Center for Dynamical Systems, Signal Processing, and Data

The research activities of ESAT-STADIUS are in the wide domain of
mathematical engineering. Starting from fundamental research and
insights in (multi-)linear algebra, statistics and optimization,
numerical algorithms are developed for data-based dynamical system
modeling, with linear (such as subspace identification) and machine
learning approaches (such as least squares support vector
machines). These models are used for control, prediction, monitoring,
anomaly detection, etc. The resulting algorithms are deployed in a
wide range of 'big data' settings, namely decision support platforms
with applications in industry 4.0 and health 2.0.  As a new PI in
ESAT-STADIUS, your research program will align with this background
and tradition, and you will be given the opportunity to establish a
personalized, impactful strategic basic research program in
mathematical engineering, that should lead to applications in
aforementioned areas.  Within this targeted area of research, your
research program provides evidence of originality and promise. You
will strive for excellence in your scholarly research: publish at the
highest academic level, initiate national and international
collaboration, obtain competitive research funding, attract and
supervise doctoral students. You will endorse the international
research strategy and contribute to the further strengthening of the
scientific reputation of ESAT-STADIUS.

KU Leuven is committed to creating a diverse environment and is
therefore an equal opportunity employer. It explicitly encourages
candidates from groups that are currently underrepresented at the
university to submit their applications.

For detailed information, please visit:

Application deadline: August 18, 2021.


From: Fernando A Morales [log in to unmask]
Date: June 28, 2021
Subject: Tenure Track Faculty Positions. Univ Nacional de Colombia.

The School of Mathematics from Universidad Nacional de Colombia, Sede
Medellin (National University of Colombia at Medellin) opens two
Tenure Track faculty positions for Assistant and/or Associate level,
starting February 2022.

We are looking for candidates with solid background in one or more of
the following areas: Computer Science, Probability, Cryptography,
Applied Combinatorics, Algorithms and Discrete Optimization.

More details can be found in

(Although the candidates are not expected to know Spanish at the time
of application, it is highly recommendable to ask for a translator
services given that the process and the application forms are written
in Spanish.)


From: Fred Vermolen [log in to unmask]
Date: July 05, 2021
Subject: Tenure Track Position, Mathematical Epidemiology, UHasselt, Belgium

There is a tenure track position at the Mathematics and Statistics
department at the University of Hasselt in Belgium. The position is
for an applied mathematician with interest and background in
mathematical epidemiology. UHasselt is located in the Eastern part of
Flanders near the universities of Leuven, Maastricht (Netherlands),
Eindhoven (Netherlands), Aachen (Germany) and Liege. Command of the
Dutch language is an advantage.

More information can be found on


From: Tobias Jahnke [log in to unmask]
Date: June 30, 2021
Subject: Tenure Track Position, Uncertainty Quantification, KIT

Karlsruhe Institute of Technology invites applications for a
tenure-track professorship (W1) for uncertainty quantification. The
focus of this professorship is the development of new mathematical
methods for the quantification of uncertainties by combining
computational models and data. Employment will initially be for a
period of six years. If the final tenure evaluation is positive, the
successful candidate will be promoted to the rank of tenured full
professor (W3).

Deadline for applications is July 18, 2021. More information about the
position and how to apply can be found here:


From: Dante Kalise [log in to unmask]
Date: June 28, 2021
Subject: Postdoc Position, Applied Mathematics, Imperial College London

We are advertising a 3-years postdoctoral research associate position
at Imperial College London, Applied Mathematics Section, to work on
topics related to hybrid control, optimisation, and/or scientific
machine learning. The position is funded by the UK Engineering and
Physical Sciences Research Council through the project Elastic
Manufacturing Systems - A Platform for Dynamic, Resilient, and
Cost-effective Manufacturing Services (EP/T024429/1).

All the relevant details for this call can be found at:

For questions regarding the post, please contact Dante Kalise
([log in to unmask]). Application deadline 12 July.


From: Burak Aksoylu [log in to unmask]
Date: July 01, 2021
Subject: Postdoc Position, Texas A&M Univ-San Antonio

The Department of Mathematical, Physical, and Engineering Sciences at
Texas A&M University-San Antonio seeks a full-time postdoctoral
researcher appointment beginning on August 19, 2021.

Candidates should also demonstrate the ability to publish research
outcomes and writing grant proposals. Successful candidates will carry
a 1+2 teaching workload for the fall and spring semesters.  The
mentors of the postdoctoral fellow will be Drs. Burak Aksoylu and Kun
Gou. The research topic involves mathematical and numerical aspects of
nonlocal formulations applied to peridynamics, fracture mechanics,
soft tissue mechanics, and solid mechanics at large.  A background in
computational mathematics and/or computational mechanics is desired.
The ability to program in C, C++, Python, Matlab, or Mathematica is a

This is a one-year position and if the external grant proposals are
successful the position may be renewed, but renewal is not guaranteed.
The salary is $45,000 for 12 months. Review of applications will begin
immediately and the position is open until filled.

Finalists must request at least two current letters of recommendation
to be sent directly by the authors to the Search Committee Chair,
Dr. Burak Aksoylu, One University Way, SciTech 311, San Antonio, Texas
78224 via USPS or email to [log in to unmask]


From: Thilo Hofman [log in to unmask]
Date: June 30, 2021
Subject: Praedoc Position, Data Science, University of Vienna

The University of Vienna seeks to fill the position as soon as
possible of a University Assistant (prae doc) at the Research Platform
The Challenge of Urban Futures: governing the complexities in European
cities.  Urban Futures is a University of Vienna funded Research
Platform striving to govern the challenges of the future of European
cities. We search for a PhD student at the exiting interface of
Environmental Science and Pollution Research with Advanced
Computational Science / Data Science. Hosted by the Urban Futures
Platform, the successful candidate will be embedded in an active and
international leading research team linked to the Department of
Environmental Geosciences and the Research Network Data Science.  The
successful candidate will be assigned to both the Urban Futures
Research Platform and the Department of Environmental Geosciences.

For more information go to the Jobcenter of the University of
Vienna. Link:


From: Youzuo Lin [log in to unmask]
Date: June 30, 2021
Subject: Graduate Research Position, Deep Learning, Los Alamos

Apologies for any cross-posting. Please share with any students who
might be interested in our opening of Deep Learning Graduate Research
Associate described below.  We have an immediate opening for a
creative and resourceful Deep Learning Graduate Research Associate
with strong computational skills and experience in any of the
following areas including computational imaging, inverse problems,
and/or computer vision.  We are seeking a highly motivated individual
to join a multidisciplinary research team consisting of machine
learning scientists, computational scientists, and domain experts to
conduct cutting-edge machine learning research for computational
imaging, with application to the geoscience, material, and other
scientific domains.

Minimum Job Requirements: Strong computational science and numerical
optimization skills, in particular, computational imaging, inverse
problems, and computer vision; Strong deep learning skills and
practical experience in various neural network architectures (DNN,
CNN, RNN/LSTM, GAN, or other auto-encoder); Practical experience with
machine learning packages such as PyTorch, TensorFlow, Keras, etc.;
Code development and computational experience in using
high-performance parallel computing resources; Solid publication
record in high-impact journals, top-tier machine learning, and related
conferences; Excellent communication, writing, and oral presentation
skills; and Strong programming skills, in Python in particular.

Desired Skills: Demonstrated ability to work creatively and
independently and in a team environment.

Minimum Education: Completion of a Master's degree in Computer
Science, Electrical Engineering, Applied Mathematics, Computational
Sciences, or a related field within the past 3 years.  Cumulative GPA
of at least 3.2 is required.

To apply, please search for IRC86144 under; or use the following direct link to the

Additional information about this position can be obtained by
contacting Dr. Youzuo Lin ([log in to unmask]) and Dr. Brendt Wohlberg
([log in to unmask]).


From: Kai Diethelm [log in to unmask]
Date: June 29, 2021
Subject: PhD Position, Fractional Differential Equations

The Faculty of Applied Natural Sciences and Humanities at the
University of Applied Sciences Wurzburg-Schweinfurt has an open
position for a Ph. D. student who is interested in working on a
project devoted to the study of fractional ordinary differential
equations, in particular regarding the long-term behaviour of their

The position will be assigned to our campus in the city of
Schweinfurt. It is on the E13 level of the German Civil Service pay
scale (TV-L) and will be available from October 1st, 2021, for a
period of 3 years. Initially it will only be a part-time position
(50%). However, we are currently actively looking for opportunities to
convert it into a 75% or 100% position as soon as possible.

The successful candidate should hold a Master's degree (or equivalent)
in mathematics or a related subject.

For further information, please contact me at kai.diethelm (at)


From: Antonio Frangioni [log in to unmask]
Date: June 28, 2021
Subject: PhD Positions, Computer Science, Univ of Pisa, Florence and Siena

The call for applications for 19 scholarships for Ph.D. School in
Computer Science at the Universities of Pisa, Florence and Siena is

Applicants are welcome with interest in all areas of computer science,
data science, AI/ML, numerical analysis, and operations research.

Please note that the 19 scholarships are presented in one call for 13
"genera" scholarships (INFO01) e in other six calls (INFO02-INFO07),
each for a thematic scholarship, but candidates can apply to any
subset of the calls by paying a single application tax.

Important dates:
- Deadline to apply: July 16th, 2021 at 1 pm CET
- The oral interviews will be held in the first half of September
- Scholarships and activities will start on November 1st, 2021

Web site of the Ph.D. School:


From: Federico Poloni [log in to unmask]
Date: June 29, 2021
Subject: PhD Positions, Mathematics and Computer Science, Univ of Pisa

The University of Pisa offers various Ph.D. scholarships, among which:

- 13 positions in Computer Science (shared with the Universities of
  Florence and Siena);
- 6 positions in Mathematics.

Admitted students can conduct research under the supervision of
professors and researchers of their choice from the two departments.
7 additional scholarships (6 in CS, 1 in math) are offered to work on
specific themes.

Applications must be submitted before July 16, 13:00 CEST. Applicants
must either already have a Master's degree, or obtain one by October
31, 2021. Activities for the admitted students will start on November
1, 2021.

Further information on


From: Vadym Aizinger [log in to unmask]
Date: June 30, 2021
Subject: CFP,  Intl J on Geomathematics

GEM - International Journal on Geomathematics invites you to submit to
the Topical Collection "Numerical Methods for Global and Regional
Ocean Modeling" edited by Vadym Aizinger, Tuomas Karna, Daniel Le Roux
and Y. Joseph Zhang, which provides an overview of the progress in
this rapidly developing area, to identify current challenges, and to
present and discuss promising approaches.

The topics covered include but are not limited to the design and
analysis of novel discretization schemes for the hydrodynamics and
other relevant physical processes, development of inverse and reduced
order models, application of stochastic techniques, adaptivity, model
coupling, and other mathematical and numerical methodologies relevant
to the area of ocean modeling. In addition, submissions of overview
papers reporting on significant conferences in the field are highly

The submission Deadline has been extended until October 31st, 2021;
please feel free to forward this "Call for Papers" to other colleagues
active in this area.

Link to the announcement on the journal homepage:


From: Alex Barnett [log in to unmask]
Date: June 29, 2021
Subject: Contents, Adv. Comput. Math., 47 (3)

Advances in Computational Mathematics
Volume 47, issue 3, June 2021:

Cs-smooth isogeometric spline spaces over planar bilinear multi-patch
parameterizations, Mario Kapl, Vito Vitrih

A priori error analysis for a finite element approximation of dynamic
viscoelasticity problems involving a fractional order
integro-differential constitutive law, Yongseok Jang, Simon Shaw

Zeta correction: a new approach to constructing corrected trapezoidal
quadrature rules for singular integral operators, Bowei Wu, Per-Gunnar

Multivariate quadrature of a singular integrand, Kendall Atkinson,
David Chien, Olaf Hansen

Structure-preserving interpolation of bilinear control systems, Peter
Benner, Serkan Gugercin, Steffen W. R. Werner

A fast sparse spectral method for nonlinear integro-differential
Volterra equations with general kernels, Timon S. Gutleb

A characteristic finite element method for the time-fractional
mobile/immobile advection diffusion model, Huan Liu, Xiangcheng Zheng,
Chuanjun Chen, Hong Wang

A hybrid collocation-perturbation approach for PDEs with random
domains, Julio E. Castrillon-Candas, Fabio Nobile, Raul F. Tempone

Reconstruction of low-rank aggregation kernels in univariate
population balance equations, Robin Ahrens, Sabine Le Borne

Second-order accurate and energy stable numerical scheme for an
immiscible binary mixture of nematic liquid crystals and viscous
fluids with strong anchoring potentials, Yubing Sui, Jingzhou Jiang,
Guigen Jin, Xiaofeng Yang

An hp-version Legendre spectral collocation method for multi-order
fractional differential equations, Yuling Guo, Zhongqing Wang

A space-time certified reduced basis method for quasilinear parabolic
partial differential equations, Michael Hinze, Denis Korolev

Pointwise error estimate in difference setting for the two-dimensional
nonlinear fractional complex Ginzburg-Landau equation, Qifeng Zhang,
Jan S. Hesthaven, Zhi-zhong Sun, Yunzhu Ren

Convergence analysis of the scaled boundary finite element method for
the Laplace equation, Fleurianne Bertrand, Daniele Boffi, Gonzalo
G. de Diego

Convex combination of alternating projection and Douglas-Rachford
operators for phase retrieval, Nguyen Hieu Thao, Oleg Soloviev, Michel

A quadratic finite volume method for nonlinear elliptic problems,
Yuanyuan Zhang, Chuanjun Chen, Chunjia Bi

Variational Bayesian inversion for the reaction coefficient in
space-time nonlocal diffusion equations, Xiaoyan Song, Guang-Hui
Zheng, Lijian Jiang

Residual-type a posteriori error analysis of HDG methods for Neumann
boundary control problems, Haitao Leng, Yanping Chen


From: Fikret Aliev [log in to unmask]
Date: June 29, 2021
Subject: Contents, Applied and Computational Mathematics, 20 (2)

Applied and Computational Mathematics an International Journal,
Vol.20, No.2, June 2021


Spectral Methods Combined with Operational Matrices for Fractional
Optimal Control Problems: A Review, E. Ashpazzadeh, M. Lakestani,
A. Fatholahzadeh

Series Expansion, Asymptotic Behavior and Computation of the Values of
the Schwarzschild-Milne Integrals Arising in a Radiative Transfer,
Y. Aygar, E. Bairamov

The Single-Step Preconditioned HSS Method for Singular Linear Systems,
C.-L. Li, C.F. Ma

Dynamics of an Age-Structured HIV Model with Super-Infection, L. Cai,
J. Liu, Y. Chen

Artificial Intelligence to Classify Human Lung Carcinoma Using Blood
Plasma FTIR Spectra, O.K. Gasymov, A.H. Aydemirova, L.A. Melikova,
J.A. Aliyev

Uncertain External Perturbation and Mixed Time Delay Impact on Fixed-
Time Synchronization of Discontinuous Neutral-Type Neural Networks,
F.C. Kong, R. Sakthivel

On the Solutions of Fractional Differential Equations via Geraghty
Type Hybrid Contractions, R.S. Adiguzel, U. Aksoy, E. Karapinar,
I.M. Erhan

End of Digest

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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



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