-------------------------------------------------------
From: Bruce Bailey bailey@siam.org
Date: May 01, 2014
Subject: New Book, Practical Augmented Lagrangian Methods
Announcing the April 30, 2014, publication by SIAM of:
Practical Augmented Lagrangian Methods for Constrained Optimization,
by Ernesto G. Birgin and José Mario MartÃnez
xiv + 220 pages / Softcover / ISBN 978-1-611973-35-8 / List Price
$65.00 / SIAM Member Price $45.50 / Order Code FA10
This book focuses on Augmented Lagrangian techniques for solving
practical constrained optimization problems. The authors rigorously
delineate mathematical convergence theory based on sequential
optimality conditions and novel constraint qualifications. They also
orient the book to practitioners by giving priority to results that
provide insight on the practical behavior of algorithms and by
providing geometrical and algorithmic interpretations of every
mathematical result, and they fully describe a freely available
computational package for constrained optimization and illustrate its
usefulness with applications.
The book is aimed at engineers, physicists, chemists, and other
practitioners interested in full access to comprehensive and well-
documented software for large-scale optimization as well as up-to-
date convergence theory and its practical consequences. It will also
be of interest to graduate and advanced undergraduate students in
mathematics, computer science, applied mathematics, optimization, and
numerical analysis.
To order, or for more information about this and all SIAM books,
please visit http://www.siam.org/books.
-------------------------------------------------------
From: Martin Peters Martin.Peters@springer.com
Date: May 05, 2014
Subject: New Book, Scientific Computing
The textbook Scientific Computing - An Introduction using Maple and
MATLAB by Walter Gander, Martin J Gander and Felix Kwok has been
published as volume 11 in Texts in Computational Science and
Engineering, ISBN 978-3-319-04325-8.
For a description, see
http://www.springer.com/978-3-319-04324-1
-------------------------------------------------------
From: Martin Peters martin.peters@springer.com
Date: May 05, 2014
Subject: LNCSE Volumes 87-93, Springer
LNCSE 87:S. Forth, P. Hovland, E. Phipps, J. Utke, A. Walther (Eds.)-
Recent Developments in Algorithmic Differentiation
More information: www.springer.com/978-3-642-30022-6
LNCSE 88:J. Garcke, M. Griebel (Eds.)- Sparse Grids and Applications
More information: www.springer.com/978-3-642-31702-6
LNCSE 89:M. Griebel, M.A. Schweitzer (Eds.)- Meshfree Methods for
Partial Differential Equations VI
More information: www.springer.com/978-3-642-32978-4
LNCSE 90:C. Pechstein - Finite and Boundary Element Tearing and
Interconnecting Solvers for Multiscale Problems
More information: www.springer.com/978-3-642-23587-0
LNCSE 91:R. Bank, M. Holst, O. Widlund, J. Xu (Eds.)- Domain
Decomposition Methods in Science and Engineering XX
More information: www.springer.com/978-3-642-35274-4
LNCSE 92: H. Bijl, D. Lucor, S. Mishra, C. Schwab (Eds.)- Uncertainty
Quantification in Computational Fluid Dynamics
More information: www.springer.com/978-3-319-00884-4
LNCSE 93: M. Bader, H.J. Bungartz, T. Weinzierl (Eds.)- Advanced
Computing
More information: www.springer.com/978-3-642-38761-6
-------------------------------------------------------
From: Ilse Ipsen ipsen@ncsu.edu
Date: May 06, 2014
Subject: Modern Massive Data Sets (MMDS), USA, Jun 2014
Registration for the 2014 Workshop on Algorithms for Modern
Massive Data Sets (MMDS 2014) is now available at:
http://mmds-data.org/home/registration2014
In addition to the talks, there will be a poster session one evening.
You may apply to present a poster at the link above.
Event: MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
Dates: June 17-20, 2014
Location: UC Berkeley, Berkeley, CA
Website: http://mmds-data.org
Contact: organizers@mmds-data.org
Synopsis: The 2014 Workshop on Algorithms for Modern Massive Data Sets
(MMDS 2014) will address algorithmic, mathematical, and statistical
challenges in modern statistical data analysis. The goals of MMDS 2014
are to explore novel techniques for modeling and analyzing massive,
high-dimensional, and nonlinearly-structured scientific and internet
data sets, and to bring together computer scientists, statisticians,
mathematicians, and data analysis practitioners to promote
cross-fertilization of ideas.
Organizers: Michael Mahoney (ICSI and UC Berkeley), Alex Shkolnik
(Stanford), Petros Drineas (RPI), Reza Zadeh (Stanford), Fernando
Perez (UC Berkeley)
-------------------------------------------------------
From: Raul Tempone raul.tempone@kaust.edu.sa
Date: May 03, 2014
Subject: Course, Mathematics and Algorithms for UQ, USA, Jul-Aug 2014
The PECOS Center in ICES at the University of Texas at Austin, the
SRI-UQ center at KAUST, and QUEST, a SciDAC UQ Institute, are
co-sponsoring a short course to be held at the University of Texas at
Austin, July 28 - August 8. A brief description follows.
Further details, along with registration information, are available
at: https://www.regonline.com/UT_ShortCourse
Title: Mathematical and Algorithmic Aspects of Uncertainty Quantification
Instructors: Prof. Fabio Nobile (EPFL) and Prof. Raul Tempone (KAUST)
Dates: July 28 - August 8, 2014
Location: University of Texas at Austin
Cost: Registration is free, but space is limited
When building a mathematical model to describe the behavior of a
physical system, one has often to face a certain level of uncertainty
in the proper characterization of the model parameters and input
data. Examples appear in the description of flows in porous media,
behavior of living tissues, combustion problems, deformation of
composite materials, meteorology and atmospheric models, etc. The
increasing computer power and the need for reliable predictions have
pushed researchers to include uncertainty models, often in a
probabilistic setting, for the input parameters of otherwise
deterministic mathematical models.
In this series of lectures we focus on mathematical models mostly
based on Partial Differential Equations with stochastic input
parameters (coefficients, forcing terms, boundary conditions, shape of
the physical domain, etc.), and review the most used numerical
techniques for propagating the input random data onto the solution of
the problem.
-------------------------------------------------------
From: Chee Yap yap@cs.nyu.edu
Date: April 28, 2014
Subject: Mathematical Software (ICMS), Korea, Aug 2014
The 4th International Congress on Mathematical Software (ICMS)
August 5 - 9 2014, Seoul Korea
http://voronoi.hanyang.ac.kr/icms2014
Invited Plenary Speakers:
Jonathan Borwein (Australia)
Bruno Buchberger (Austria)
Wolfram Decker (Germany)
Andrew Sommese (USA)
Lloyd N. Trefethen (UK)
Official satellite conference of International Congress of
Mathematicians (ICM), http://www.icm2014.org
This forum is for researchers to share challenges, achievements and
progress in mathematical software research, their design, development
and use.
Deadlines:
Short abstract April 30 2014
Extended abstract May 21 2014
Papers After conference
Publications include conference proceedings in Springer's Lecture
Notes Series, and in journal special issues.
Feel free to contact us (yap@cs.nyu.edu).
-------------------------------------------------------
From: Artem Napov, Yvan Notay, Stefan Vandewalle emg2014@ulb.ac.be
Date: May 04, 2014
Subject: European Multigrid Conference, Belgium, Sep 2014
DEADLINE APPROACHING
12th European Multigrid Conference
September 9 - 12, 2014
Leuven, Belgium
http://metronu.ulb.ac.be/EMG2014
Abstracts: submission via conference homepage;
Deadline is May 15, 2014.
(Acceptance notification before June 15, 2014.)
Registration and accommodation reservation: via conference homepage
(Early registration rates apply till June 21, 2014).
Confirmed plenary speakers:
Hans De Sterck - University of Waterloo
Wolfgang Hackbusch - Max Planck Institute
Arne Naegel - Frankfurt University
Luke Olson - University of Illinois
Dorit Ron - Weizmann Institute of Science
Giovanni Samaey - University of Leuven
Rob Scheichl - University of Bath
Klaus Stueben - Fraunhofer Institute
Philippe Toint - University of Namur
Wim Vanroose - University of Antwerp
-------------------------------------------------------
From: Andreas Steinbrecher anst@math.tu-berlin.de
Date: May 05, 2014
Subject: MSO-Tools 2014, Germany, Sep 2014
Workshop MSO-Tools 2014
"Modeling, Simulation and Optimisation Tools"
29.-30. Sep. 2014, TU Berlin, Berlin, Germany
http://www3.math.tu-berlin.de/multiphysics/MSOTOOLS2014/
This workshop will focus on various aspects of modeling, simulation
and optimization (MSO) Tools for dynamical multi-physics systems. The
aim is to bring together developers and users of MSO tools together
with people working in practice. The workshop will offer the
possibility for detailed discussions and the initiation of
cooperations for scientists in academia and industry working on or
with MSO tools.
Special emphasis will be given to multi-physics applications in
multibody systems, electrical circuits, bioprocess engineering,
chemical reactions, thermodynamics and fluid dynamics.
The presentations and discussions will cover
- Modeling and regularization/remodeling
- Coupled, hierarchical and multiscale dynamical systems
- Numerical simulation and control
- Error control and uncertainties in numerical simulation and control
- Software issues for MSO-tools
Every talk should address the state of the art of current research as
well as open questions and requirements for further theoretical
research in algorithm and software development. The talks should be
accessible to participants from different application fields.
Deadline for abstract submission: June 30, 2014.
Deadline for registration: August 31, 2014.
Workshop web page:
http://www3.math.tu-berlin.de/multiphysics/MSOTOOLS2014/
-------------------------------------------------------
From: Alfio Borzi alfio.borzi@mathematik.uni-wuerzburg.de
Date: May 04, 2014
Subject: Stochastic Computing & Optimization, Germany, Sep-Oct 2014
Multi-ITN STRIKE and WWCSC
Mini-Workshop in Stochastic Computing and Optimization
Würzburg, Germany, September 30 - October 2, 2014
http://www9.mathematik.uni-wuerzburg.de/STRIKE-MiniWorkshop2014
Invited Speakers are:
Mario Annunziato, Università degli Studi di Salerno, Italy
Maya Briani, Universita' di Roma, Italy
Hanno Gottschalk, Bergische Universität Wuppertal, Germany
Kees Oosterlee, Delft University of Technology, Netherlands
Andrea Pascucci, Università di Bologna, Italy
Carlos Vázquez Cendón, Universidade da Coruña, Spain
Aleksander Weron, Wroclaw University of Technology (WUT), Poland
This Workshop aims at fostering advances in the mathematics of
modelling, simulation, and optimization of stochastic processes with
applications in science and finance. In particular, different
stochastic processes are discussed that have important applications in
biology and computational finance as Levy and piecewise-deterministic
processes, and anomalous diffusion processes. This workshop also
provide a forum to discuss the modelling and optimization of these
processes based on the partial and partial-integro differential
equations that arise in the representation of the distribution of the
stochastic states.
To register please fill in and submit the Registration Form under
http://www9.mathematik.uni-wuerzburg.de/STRIKE-
MiniWorkshop2014/participants.html
latest by June 30, 2014 to:
Petra Markert-Autsch (Workshop Secretary):
petra.markert-autsch@mathematik.uni-wuerzburg.de
-------------------------------------------------------
From: Prof Michael Tretyakov michael.tretyakov@nottingham.ac.uk
Date: May 06, 2014
Subject: Professor Position, UQ, Univ of Nottingham
Professor of Uncertainty Quantification
(Applied Mathematics/Statistics) at Nottingham
Applications are invited from outstanding candidates for this senior
full professorial post, which lies at the interface of Statistics and
Applied Mathematics. The successful candidate will be expected to
contribute strongly to maintaining and enhancing the School’s high
standards in research and teaching.
This post is available from 1 September 2014 or as soon as possible
thereafter.
The post will remain open until filled - review of applications
4th July 2014
Further details about the position and how to apply, see at
http://www.nottingham.ac.uk/jobs/currentvacancies/ref/PROF14380
Informal enquiries may be addressed to Professor M Tretyakov,
tel: +44(0)115 9514954 , or email:
michael.tretyakov@nottingham.ac.uk. Please note that applications
sent directly to this email address will not be accepted.
-------------------------------------------------------
From: Daniel Lesnic D.Lesnic@leeds.ac.uk
Date: May 01, 2014
Subject: Postdoc Position, Applied Numerical Mathematics, Leeds Univ
Applications are invited for a postdoctoral Research Associate (PDRA)
in applied numerical mathematics modelling to work with Professor
D. Lesnic on an EPSRC-funded project entitled "Robustness-performance
optimisation for automated composite manufacture". The successful
applicant will also collaborate closely with academic partners on the
project Cranfield University, University of Nottingham and University
of Bristol.
The activity in which the PDRA will be full-time and fully engaged
will focus on the estimation of the anisotropic permeability and
thermal conductivity governing the filling and curing stages of
composites manufacturing and their uncertainty. These variables, which
are not directly observable using monitoring technologies, will be
identified based on information on observables (fibre angle and tow
width) and the homogenisation models available. The uncertainty
arising from the variability of the matrix, disturbances in fibre
architecture due to local compression and measurement errors in
observables will be estimated perhaps using a combination of
regularisation and Bayesian inference. The outcome of this activity
will be a system capable of identifying the probability distribution
of the anisotropic components of permeability and thermal conductivity
based on thermal, cure and flow monitoring signals and on information
on the fibre orientation from Automated Fibre Placement (AFP)
monitoring. The results will be used for stochastic simulations of
flow/cure in subsequent tasks.
A strong background in mathematics, scientific computing or related
areas is required. In particular, candidates should have some
experience with stochastic partial differential equations, finite or
boundary element methods, Bayesian inference and inverse problems.
This full-time position is available from June/July and will be
offered on a fixed-term contact for a period of 12 months. The
application deadline is 28 May 2014.
The job advertisement and details of how to apply can be found by
searching the ref code MAPMA0069 at:
http://jobs.leeds.ac.uk/fe/tpl_universityofleeds01.asp
-------------------------------------------------------
From: Jenny Suckale jsuckale@stanford.edu
Date: May 02, 2014
Subject: Postdoc Position, Computational Geoscience, Stanford Univ
Postdoc Position in Computational Geophysics at Stanford University
We are looking for a Postdoctoral Researcher to join the SIGMA
(Simulations of Geophysical Multi-phAse flows) group at the Department
of Geophysics, Stanford University. See https://sigma.stanford.edu for
more information about the SIGMA group.
Candidates should have an interest in Earth Science and Computational
Fluid Dynamics. Proficiency in C/C++, Matlab or a suitable substitute
is required. Previous experience in developing numerical models for
coupled systems of partial differential equations is highly
desirable. Potential applications range from ice-stream modeling in
West Antarctica to developing computational models of volcanic
eruptions and lava flows.
Salary for the position will be determined by the University
commensurate with qualifications and experience and includes a
research allowance for travel and miscellaneous expenses. Starting
date is negotiable, but ideally the candidate would be available to
start around September 1st, 2014. The appointment will be for one
year, renewable for a second and third year by mutual
agreement. Applications should be sent electronically (application
letter, CV and names of three referees) to Jenny Suckale at
jsuckale@stanford.edu. Applications received by June 1st, 2014, will
receive the fullest consideration. For questions please also contact
Jenny Suckale.
-------------------------------------------------------
From: Bert de Jong wadejong@lbl.gov
Date: April 30, 2014
Subject: Postdoc Position, Multicore HPC, LBNL
The Scientific Computing Group at Lawrence Berkeley National
Laboratory (LBNL) has an immediate opening for a postdoctoral
researcher to conduct applied research and development in the area of
next-generation multicore high-performance scientific computing. The
position is part of a larger effort involving the Computational
Research Division at LBNL and the National Energy Research Scientific
Computing Center (NERSC).
The Scientific Computing Group is focused on enabling scientific
discovery through the development of advanced software applications,
tools, and libraries in key research areas, as well as the development
of scientific computing applications and capabilities for the
integration and analysis of complex data from simulation and
experiment.
The candidate will be working as part of a multi-disciplinary team
composed of computer, computational, and applied math scientists
conducting research and development for next-generation
high-performance computing. The focus of the candidate will be on
research and development in the computational chemistry domain area
with the goal to greatly improve the performance of current algorithms
on multicore architectures.
Specific responsibilities:
- Design and implementation of computational chemistry and applied
math algorithms on multicore architectures
- Analysis and optimization of computational chemistry algorithms
- Publish and present research results in journals and conferences.
-------------------------------------------------------
From: Paul Ledger p.d.ledger@swansea.ac.uk
Date: May 02, 2014
Subject: Postdoc Position, Scientific Computing and Inverse Problems
As part of an on-going EPSRC funded collaboration between the College
of Engineering, Swansea University, UK, the School of Mathematics and
School of Computer Science and Informatics at Cardiff University, UK,
a 2-year post-doctoral (PDRA) position in scientific computing is
available.
The position will be focused on the application of parallel computing
and the use GPUs to accelerate the solution of Maxwell inverse
problems for a medical imaging application. The position will be based
at the School of Computer Science and Informatics at Cardiff
University under the supervision of Professor David Walker. The PDRA
will also work together with the other grant holders Professors Marco
Marletta and Malcolm Brown (Cardiff University), Dr Paul Ledger
(Swansea University) and the other PDRAs on the project. For further
details and how to apply please see
http://krb-sjobs.brassring.com/TGWEbHost/jobdetails.aspx?
partnerid=30011&siteid=5460&AReq=2032BR
The closing date for the position is Thursday 29 May 2014.
-------------------------------------------------------
From: Trond Steihaug trond.steihaug@ii.uib.no
Date: May 01, 2014
Subject: Research Fellow Position, Optimization, Univ of Bergen
At the University of Bergen (Norway), Department of Informatics a
4-year position as
Research fellow (PhD candidate) in optimization
is available. This position is connected to the Optimization
Group. The goal of this project is to establish new results on the
theory, applications and numerical solution methods for nonlinear
optimization problems. Furthermore, the modeling of real-life problems
arising in fishery and maritime research by using mathematical
optimization tools will play a role. The successful candidate will be
expected to be able to cooperate in an interdisciplinary setting and
to work in different research areas of mathematical optimization.
Applicants must have achieved a master degree or equivalent in
mathematics or informatics, or have submitted their master thesis for
assessment by the application deadline. Furthermore, applicants should
have strong competence in mathematical optimization as well as
efficient implementation. An adequate command of English is expected.
Deadline: 2 June 2014
Further information Jan-Joachim.Ruckmann@ii.uib.no. To apply
follow the link here:
http://www.jobbnorge.no/en/available-jobs/job/102054/research-
fellow-phd-candidate-in-optimization
-------------------------------------------------------
From: Roumen Anguelov roumen.anguelov@up.ac.za
Date: April 29, 2014
Subject: BIOMATH, new journal in mathematical and computational biology
The BIOMATH Forum announces the launch of BIOMATH. An online,
peer-reviewed journal, BIOMATH will publish research covering
mathematical and computational biology. All articles in BIOMATH are
published open access without article-processing fees. BIOMATH is now
accepting papers for publication.
BIOMATH publishes original research papers of interest to specialists
within a given field in mathematical and computational
biology. BIOMATH editorial policy is to publish research papers based
on their scientific and technical validity and originality. Arbitrary
judgements with respect to "importance" will not be a criterion for
publication. All papers will benefit from rapid peer review and
publication. The journal is indexed by Mathematical Reviews,
Zentralblatt MATH, EBSCO, and Google Scholar.
More information is available on the BIOMATH website:
http://www.biomathforum.org/biomath/index.php/biomath/.
-------------------------------------------------------
From: Chi-Wang Shu shu@dam.brown.edu
Date: May 04, 2014
Subject: Contents, Journal of Scientific Computing, 59 (3)
Journal of Scientific Computing
http://www.springeronline.com/journal/10915
Volume 59, Number 3, June 2014
High Order Spatial Generalization of 2D and 3D Isotropic Discrete
Gradient Operators with Fast Evaluation on GPUs, Sebastien Leclaire,
Maud El-Hachem, Jean-Yves Trepanier and Marcelo Reggio, pp.545-573.
A Linear Iteration Algorithm for a Second-Order Energy Stable Scheme
for a Thin Film Model Without Slope Selection, Wenbin Chen, Cheng
Wang, Xiaoming Wang and Steven M. Wise, pp.574-601.
Convergence Analysis of a Symmetric Dual-Wind Discontinuous Galerkin
Method, Thomas Lewis and Michael Neilan, pp.602-625.
Method of Moving Frames to Solve (An)isotropic Diffusion Equations on
Curved Surfaces, Sehun Chun, pp.626-666.
Superconvergence of Jacobi–Gauss-Type Spectral Interpolation, Li-Lian
Wang, Xiaodan Zhao and Zhimin Zhang, pp.667-687.
A Local Discontinuous Galerkin Method for the Propagation of Phase
Transition in Solids and Fluids, Lulu Tian, Yan Xu, J.G.M. Kuerten and
J.J.W. Van der Vegt, pp.688-720.
Energy Stable Flux Reconstruction Schemes for Advection–Diffusion
Problems on Tetrahedra, D.M. Williams and A. Jameson, pp.721-759.
Simulation of an n+-n-n+ Diode by Using Globally-Hyperbolically-Closed
High-Order Moment Models, Zhicheng Hu, Ruo Li, Tiao Lu, Yanli Wang and
Wenqi Yao, pp.761-774.
Approximation of the Stokes–Darcy System by Optimization, V.J. Ervin,
E.W. Jenkins and Hyesuk Lee, pp.775-794.
The Local Discontinuous Galerkin Method for the Fourth-Order
Euler–Bernoulli Partial Differential Equation in One Space Dimension.
Part I: Superconvergence Error Analysis, Mahboub Baccouch, pp.795-840.
-------------------------------------------------------
From: R. Ciegis rc@vgtu.lt
Date: May 05, 2014
Subject: Contents, Mathematical Modelling and Analysis, 19 (2)
MATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
http://www.tandfonline.com/TMMA
Volume 19, Number 2, April 2014
CONTENTS
Sergey Smirnov, Nonlocal Third Order Boundary Value Problems with
Solutions that Change Sign, 145-154
Xiaopeng Zhao, Fengnan Liu and Bo Liu, Finite Element Method for a
Nonlinear Differential Equation Describing Crystal Surface Growth,
155-168
Yuzhu Han, Haixia Li and Wenjie Gao, Extinction and Non-Extinction of
Solutions to a~$p$-Laplace Equation with a Nonlocal Source and an
Absorption Term, 169-179
Maryam Mohammadi and Reza Mokhtari, A Reproducing Kernel Method for
Solving a~Class of Nonlinear Systems of PDEs, 180-198
Sergei G. Solodky and Ganna L. Myleiko, About Regularization of
Severely Ill-Posed Problems by Standard Tikhonov's Method with the
Balancing Principle, 199-215
Jing Zhao, Edwin A.H. Vollebregt and Cornelis~W.~Oosterlee, A Full
Multigrid Method for Linear Complementarity Problems arising from
Elastic Normal Contact Problems, 216-240
Yashar T. Mehraliyev and Fatma Kanca, An Inverse Boundary Value
Problem for a~Second Order Elliptic Equation in a Rectangle, 241-256
Dietmar Oelz and Saber Trabelsi, Analysis of a Relaxation Scheme for
a~Nonlinear Schr\"{o}dinger Equation Occurring in~Plasma Physics,
257-274
Sefa An{\i}l Sezer and \.{I}brahim \c{C}anak, Tauberian Remainder
Theorems for the~Weighted Mean Method of Summability, 275-280
Raimondas \v{C}iegis and Natalija Tumanova, On Construction and
Analysis of Finite Difference Schemes for Pseudoparabolic Problems
with Nonlocal Boundary Conditions, 281-297
-------------------------------------------------------
From: Claude Brezinski claude.brezinski@univ-lille1.fr
Date: April 29, 2014
Subject: Contents, Numerical Algorithms, 66 (1)
Table of contents for Numerical Algorithms, Volume 66, Number 1.
Interpolation on the disk, J. M. Carnicer, C. Godes
On the incomplete oblique projections method for solving box
constrained least squares problems, H. Scolnik, N. Echebest,
M. T. Guardarucci
Convergence for a family of modified Chebyshev methods under weak
condition, Xiuhua Wang, Jisheng Kou
An inexact line search approach using modified nonmonotone strategy
for unconstrained optimization, Keyvan Amini, Masoud Ahookhosh, Hadi
Nosratipour
A novel approach to construct numerical methods for stochastic
differential equations, Nikolaos Halidias
Fast solvers for discretized Navier-Stokes problems using vector
extrapolation, Sebastien Duminil, Hassane Sadok, David Silvester
Mauro Picone, Sandro Faedo, and the numerical solution of partial
differential equations in Italy (1928–1953), Michele Benzi, Elena
Toscano
Order conditions for RKN methods solving general second-order
oscillatory systems, Xiong You, Jinxi Zhao, Hongli Yang, Yonglei Fang,
Xinyuan Wu
Numerical analysis of a high order method for state-dependent delay
integral equations, M. Khasi, F. Ghoreishi, M. Hadizadeh
-------------------------------------------------------
End of Digest
**************************