Subject: NA Digest, V. 16, # 45 NA Digest Tuesday, December 13, 2016 Volume 16 : Issue 45 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Optimization Routine UNCMND: Call for Users New Book, Discrete Approximation Theory New Book, Dynamic Mode Decomposition New Book, Elementary Functions: Algorithms and Implementation Advanced Process Control of Batch Processes, Germany, Feb 2017 Learning and Intelligent Optimization, Russia, Jun 2017 SIAM Parameter Space Dimension Reduction, USA, Jul 2017 Faculty Position, Numerical Linear Algebra, Michigan State Univ Senior Lecturer Position, Chalmers Univ of Technology, Sweden Postdoc Position, Karlsruhe Institute of Technology (KIT), Germany Postdoc Position, Maths & Stats for Medical Imaging, UK Postdoc Position, NA/Scientific Computing, Simula, Norway Postdoc Position, Scientific Computing, Florida State Univ Postdoc Positions, Mathematics of Information, Cambridge, UK Postdoc Positions, NIST PhD/MSc Positions, Optimization, UBC PhD Position, Karlsruhe Institute of Technology (KIT), Germany PhD Position, Scientific Computing, KTH CFP, Inverse Problems, Special issue Contents, Advances in Computational Mathematics, 42 (6) Contents, Journal of Scientific Computing, 69 (3) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.cs.utk.edu/na-digest/ ------------------------------------------------------- From: David Binner [log in to unmask] Date: December 12, 2016 Subject: Optimization Routine UNCMND: Call for Users I am translating the optimization routine UNCMND from FORTRAN into C++ and am almost finished. However, I have reached a point which has me baffled, so I come to this group seeking users of this routine. (Alternately, the single-precision version UNCMIN.) Does anybody in this group presently use this routine (or has used it?) If not, could anybody here refer me to somebody who does? Any old test data or examples--including the error codes returned--that could be shared with me would be greatly appreciated. Specifically, I am looking for trials that return with the error code 0. In addition to replying through this group, please feel free to contact me directly via the email address above. Reference: "Numerical Methods and Software" by D. Kahaner, C. Moler, S. Nash, Prentice Hall, 1988 Excerpt: "UNCMND minimizes a smooth nonlinear function of n variables." ------------------------------------------------------- From: George Anastassiou [log in to unmask] Date: December 12, 2016 Subject: New Book, Discrete Approximation Theory DISCRETE APPROXIMATION THEORY In this monograph chapters are self-contained and can be read independently and advanced courses can be taught out of this book. An extensive list of references is given per chapter. Here our generalized discrete singular operators are of types: Picard, Gauss-Weierstrass and Poisson-Cauchy operators. We treat both the unitary and non-unitary, univariate and multivariate cases of these operators, which are not necessarily positive operators. Our study is extremely rare in the literature, the first book of this kind, filling a very important gap in the bibliography. The book's results are expected to find applications in many areas of pure and applied mathematics, and statistics. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also to be in all science libraries. PUBLISHED BY WORLD SCIENTIFIC ISBN: 978-981-3145-83-2 (hardcover) ISBN: 978-981-3145-85-6 (ebook) ------------------------------------------------------- From: Bruce Bailey [log in to unmask] Date: December 08, 2016 Subject: New Book, Dynamic Mode Decomposition Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems, by J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Procto, xvi + 234 pages / Softcover / 978-1-611974-49-2 / List Price $69.00 / SIAM Member Price $48.30 / OT149 Data-driven dynamical systems is a burgeoning field-it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning. This is the first book to address the DMD algorithm; it presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development and blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses To order or for more about this book, including links to its table of contents, preface, and index, please visit http://bookstore.siam.org/OT149/ . ------------------------------------------------------- From: Jean-Michel Muller [log in to unmask] Date: December 12, 2016 Subject: New Book, Elementary Functions: Algorithms and Implementation Birkhauser has just released the 3rd edition of the following book: Elementary Functions: Algorithms and Implementation Jean-Michel Muller http://www.springer.com/us/book/9781489979810 ------------------------------------------------------- From: Anja Milde [log in to unmask] Date: December 08, 2016 Subject: Advanced Process Control of Batch Processes, Germany, Feb 2017 KoMSO Challenge Workshop on "Challenges for Mathematical Modeling, Simulation and Optimization for Advanced Process Control of Batch Processes", February 9-10, 2017 Interdisciplinary Center for Scientific Computing (IWR) Heidelberg University, Mathematikon Im Neuenheimer Feld 205, 69120 Heidelberg, Germany http://www.KoMSO.org Batch processes are an important way of manufacturing chemicals. They are particularly important for the production of specialty chemicals due to their flexibility, simplicity and low investment costs. This workshop treats opportunities and challenges to improve the operation of batch processes in the framework of Real Time Optimization and of Nonlinear Model Predictive Control. This includes newly developed models of reaction kinetics, new sensors and new fast mathematical optimization methods for process operation. The effects of model-based optimizing control are demonstrated by presenting problems from several application areas, e.g. polymerization processes. The aim of this workshop is to bring together representatives from both academia and industry in order to determine mathematical challenges of common interest, to improve and integrate process control solutions for applications across various industries, and to foster synergies and collaborations. Participation in the workshop is free of charge. It is, however, mandatory to register in advance. Registration for the workshop is on a first come, first served basis and SPACE IS LIMITED! ------------------------------------------------------- From: Dmitri Kvasov [log in to unmask] Date: December 10, 2016 Subject: Learning and Intelligent Optimization, Russia, Jun 2017 LION11 - 11th Learning and Intelligent Optimization Conference, Nizhny Novgorod (Russia): http://intelligent-optimization.org/lion11/ Submission deadline is approaching: December 18, 2016. The LION conferences explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to scientific papers the following aspects should be highlighted: Contests in continuous and discrete optimization. Sessions dedicated to commercial software and open source initiatives. Parallel computing, supercomputing, and cloud for "big optimization". Elevator pitches about new and crazy ideas (also by PhD students). Tutorials about methods and software. Conference proceedings will be published by Springer in LNCS series. Collocated with Net2017 conference to be held in the same city in the period June 22-24, 2017. ------------------------------------------------------- From: Paul Constantine [log in to unmask] Date: December 12, 2016 Subject: SIAM Parameter Space Dimension Reduction, USA, Jul 2017 SIAM Workshop on Parameter Space Dimension Reduction (DR17) July 9-10, Pittsburgh, PA http://www.siam.org/meetings/dr17/ The DR17 workshop brings together researchers across mathematics, statistics, and engineering to explore a range of emerging techniques for parameter space dimension reduction. Topics of interest include: active subspaces; basis adaptation; inverse regression; sufficient dimension reduction; sloppy models; sensitivity analysis; ridge recovery and approximation; deterministic and statistical parameter estimation; and applications with science and engineering simulations or data sets. The submission deadline is February 27. Submitted abstracts will be considered for a 20-minute presentation or poster. More details on the website: http://www.siam.org/meetings/dr17/submissions.php Some travel support is available for students and early-career researchers. Deadline to apply for travel support is January 20. http://www.siam.org/meetings/dr17/tsupport.php ------------------------------------------------------- From: H. Metin Aktulga [log in to unmask] Date: December 08, 2016 Subject: Faculty Position, Numerical Linear Algebra, Michigan State Univ The Department of Computational Mathematics, Science, and Engineering (CMSE) at Michigan State University invite applications for a tenure-system position in the area of Numerical Linear Algebra. Candidates must have a PhD in Mathematics, Statistics, Computer Science, or a related field. The position will be filled at the assistant, associate, or full professor level depending on the qualifications and record of the successful candidate. The candidate is expected to establish a sustainable research program, make significant scholarly contributions to their discipline, be an effective teacher and mentor of both undergraduate and graduate students, and engage in institutional and professional service. The Department of CMSE is particularly interested in candidates whose research efforts focus on numerical linear algebra as applied to large-scale and high performance computing, including linear solvers, nonlinear solvers, eigensolvers, preconditioning techniques for massively parallel applications, and fast direct solvers, as well as novel numerical methods designed to achieve high performance on heterogeneous computing platforms and next-generation High Performance Computing hardware. Interested individuals should submit an application for this position through: http://jobs.msu.edu/ and should refer to position #4449. Applicants must submit a detailed resume, a cover letter summarizing their qualifications, vision statements for teaching and research, and the names and contact information for at least three references. For full consideration, applications should be received before January 11th, 2017. Applications will be reviewed on a continuing basis thereafter until the position is filled. Nominations or questions are welcome by contacting the search committee chair through email at [log in to unmask] The position is available on August 16, 2017. ------------------------------------------------------- From: Stig Larsson [log in to unmask] Date: December 08, 2016 Subject: Senior Lecturer Position, Chalmers Univ of Technology, Sweden The Department of Mathematical Sciences at Chalmers University of Technology, Gothenburg, Sweden, invites applications for a Senior Lecturer position. Applications from all mathematical and applied mathematical research areas will be considered. See Ref No 20160477 at http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx Deadline: January 16, 2017. ------------------------------------------------------- From: Hartwig Anzt [log in to unmask] Date: December 06, 2016 Subject: Postdoc Position, Karlsruhe Institute of Technology (KIT), Germany We are looking for a highly motivated candidate to instruct and carry out research at the edge of numerical mathematics and High Performance Computing. Particular focus is on sparse linear algebra, iterative methods, and preconditioning. Candidates with interest in Big Data, Machine Learning, or Graph Theory are also invited to apply. Candidates are expected to have A PhD degree or equivalent in Mathematics, Computer Science, or a related field; A publication record reflecting excellent research; Motivation to inspire and supervise students; A solid background in numerical mathematics and High Performance Computing; Experience in software development on HPC architectures; Interest in inter-disciplinary research with application specialists. The initial appointment is for 2 years, and offers a competitive salary plus an additional budget for relocation. Close cooperation with international partner institutions is anticipated, including research visits to US universities. The candidate is expected to start in summer/fall 2017. Interested candidates should get in contact with Hartwig Anzt, [log in to unmask] ------------------------------------------------------- From: Carola Schönlieb [log in to unmask] Date: December 09, 2016 Subject: Postdoc Position, Maths & Stats for Medical Imaging, UK We invite applications for at least one Post Doctoral Research Associate position to work in the EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging (CMIH) at the University of Cambridge. The centre is a collaboration between mathematics, engineering, physics and biomedical scientists and clinicians, and aims to achieve synergies between applied mathematics and statistics through the focus on the analysis of clinical imaging, particularly that arising in neurological, cardiovascular and oncology imaging. The research activity of the successful candidate will take place within one or more multidisciplinary projects joint between investigators within the centre. Preference will be given to applicants interested in working on projects involving Electronic Health Records and Imaging, joint reconstruction of multimodal imaging, dynamic image reconstruction and analysis, and/or image distortion correction. For further information concerning the types of project the centre is likely to undertake and a list of investigators, please visit www.cmih.maths.cam.ac.uk. The PDRAs will join a cohort of researchers in the mathematical and statistical analysis of clinical imaging who are already working in the centre. Applicants must have (or be about to receive) a PhD degree in mathematics or statistics (or closely related discipline). The ideal candidate will be experienced in one or more of the following areas: statistical imaging / statistical shape analysis, functional data analysis, spatial statistics, inverse problems, computational analysis, optimisation, variational methods in image processing, data science. Experience in parallel computing and C programming skills are desirable. Informal inquiries can be made by contacting [log in to unmask] Applications should be made at the following website where a number of postdoctoral positions across the faculty can be applied for - https://postdoc.maths.cam.ac.uk/ Application deadline is the 10th of January 2017. Limit of tenure: 2 years. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. ------------------------------------------------------- From: Marie E. Rognes [log in to unmask] Date: December 12, 2016 Subject: Postdoc Position, NA/Scientific Computing, Simula, Norway Applications are invited for a Postdoc position in Numerical Analysis/Scientific Computing at Simula Research Laboratory within The Numerical Waterscape of the Brain (Waterscape) Project. The position is initially for 2 years. The official announcement with full details of the position and online application instructions can be found here: https://www.simula.no/about/available-jobs Waterscape is an RCN FRINATEK project (2016-2019) aiming to develop a numerical and technological foundation for in silico studies of fluid flow and solute transport within brain tissue for both normal and pathological conditions. For more information about the project, see https://www.simula.no/research/projects/numerical-waterscape-brain-waterscape Applicants are evaluated on a rolling basis, with preference to applications submitted before January 15 2017. ------------------------------------------------------- From: Bryan Quaife [log in to unmask] Date: December 12, 2016 Subject: Postdoc Position, Scientific Computing, Florida State Univ The Department of Scientific Computing at Florida State University invites applications for a postdoctoral position. The research will focus on developing efficient integral equation methods for simulating complex Stokesian fluids. Possible applications include porous media flow, erosion, sedimentation, particulate flows, and boundary layers. An ideal candidate will have experience with numerical methods for integral equation methods, Stokes equations, and HPC. Please contact Bryan Quaife at [log in to unmask] for more details. The full posting can be found at https://people.sc.fsu.edu/~bquaife/postdoc_ad.pdf ------------------------------------------------------- From: Carola Schönlieb [log in to unmask] Date: December 07, 2016 Subject: Postdoc Positions, Mathematics of Information, Cambridge, UK We are pleased to advertise three positions for Postdoctoral Research Fellows affiliated with the new Cantab Capital Institute for the Mathematics of Information (CCIMI, http://www.ccimi.maths.cam.ac.uk). The Fellow will be free to pursue independent research related to fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. The Fellowship is available for three years. Appointment will be made at an appropriate point on the University's Postdoctoral Research Associate scale or the Senior Research Associate scale as appropriate. The Fellow will also receive an annual allowance for research expenses. Applicants should have a PhD in Mathematics, Statistics or closely related discipline before commencing the Fellowship. Senior Research Associates will have commensurately more experience, including at least three years postdoctoral experience. Duties would include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction or plan/deliver seminars relating to the research area of the CCIMI. To apply online for this vacancy, and to find out further information, please visit http://www.jobs.cam.ac.uk/job/12244/. The closing date for applications is the 10th of January 2017. Informal enquiries about the positions may be made to: [log in to unmask] The University of Cambridge values diversity and is committed to equality of opportunity. The Department would particularly welcome applications from women, since women are, and have historically been, underrepresented on our research staff. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. ------------------------------------------------------- From: Tim Burns [log in to unmask] Date: December 07, 2016 Subject: Postdoc Positions, NIST The Applied and Computational Mathematics Division (ACMD) of the National Institute of Standards and Technology (NIST) invites applications for two-year NRC postdoctoral research positions at NIST Laboratories in Gaithersburg, Maryland, and Boulder, Colorado. NIST is a Federal government research laboratory specializing in measurement science. ACMD consists of some 47 full-time professional staff, along with part-time faculty appointees and guest researchers. Staff members engage in collaborative research with scientists throughout NIST, providing expertise in applied mathematics, mathematical modeling, and computational science and engineering. Research areas of interest include combinatorial and discrete algorithms, computational materials science, computational fluid dynamics, computational electromagnetics, computational biology, orthogonal polynomials and special functions, applied optimization and simulation, combinatorial software testing, data mining, immersive visualization, parallel and distributed algorithms, quantum information science, and statistics for quantum systems. Of particular interest are candidates whose interests also overlap with the thrusts of recent Federal initiatives, including the National Strategic Computing Initiative (https://www.whitehouse.gov/blog/2015/07/29/advancing-us-leadership- high-performance-computing) and the Materials Genome Initiative (https://mgi.nist.gov), especially in the area of uncertainty quantification for modeling and simulation. Candidates and their research proposals are evaluated in a competitive process managed by the National Research Council (NRC) Associateship Programs. The current stipend is $67,588 per year. For further details, see http://www.nist.gov/itl/math/mcsd-postdoctoral- opportunities.cfm. Application deadlines are February 1 and August 1. Appointments commence within one year of selection. For questions, contact Tim Burns, [log in to unmask] NIST is an equal opportunity/affirmative action employer. The NRC Associateship Program at NIST is restricted to US citizens. ------------------------------------------------------- From: Yves Lucet [log in to unmask] Date: December 08, 2016 Subject: PhD/MSc Positions, Optimization, UBC COCANA (Centre for Optimization Convex Analysis and Nonsmooth Analysis, https://ocana.ok.ubc.ca/) invites applications for PhD/MSc positions starting September 2017. The positions will be based at the UBC Okanagan campus (http://ok.ubc.ca/). The PhD positions are fully funded for 4 years while the MSc positions are fully funded for 2 years (The MSc in Computer Science program mandate a minimum funding of $17,500/year.) The first project is on road design optimization. The research is industry sponsored and include the opportunity to develop patents. Good programming skills (C/C++ preferred) are required, and optimization or operations research skills are desired. The second project is on computational convex analysis and involves the creation of new algorithms to compute mathematical objects regularly used in convex analysis. The background required is in algorithms with good programming skills in high level languages (MATLAB, Scilab, or Octave), and a desire to learn convex analysis. Historically students with a computer science background have been very successful in our program (and found positions at Google, Amazon, or Microsoft), as well as students with a mathematical background and strong programming skills. Interested candidates should contact Dr. Yves Lucet, Professor, Computer Science, Associate Head Computer Science/Data Science at [log in to unmask] The deadline for funded applications is January 31, 2017. ------------------------------------------------------- From: Hartwig Anzt [log in to unmask] Date: December 06, 2016 Subject: PhD Position, Karlsruhe Institute of Technology (KIT), Germany We are looking for a highly motivated candidate to carry out research at the edge of numerical mathematics and High Performance Computing (HPC). Particular focus is on sparse linear algebra, iterative methods, and preconditioning. Candidates with interest in Big Data, Machine Learning, or Graph Theory are also invited to apply. Candidates are expected to have A master's degree or equivalent in Mathematics, Computer Science, or a related field; A solid background in numerical mathematics; Experience in parallel programming and/or scientific computing; An academic record demonstrating excellent oral and written communication skills in English. The position comes with a competitive 3-year funding plus an additional budget for relocation. Close cooperation with international partner institutions is anticipated, which also offers the possibility of an extended research stay in the US. The candidate is expected to start in summer/fall 2017. Interested candidates should get in contact with Hartwig Anzt, [log in to unmask] ------------------------------------------------------- From: Johan Hoffman [log in to unmask] Date: December 08, 2016 Subject: PhD Position, Scientific Computing, KTH KTH Royal Institute of Technology in Stockholm is Sweden,s largest technical research and learning institution and home to students, researchers and faculty from around the world. This PhD position is based at the department of Computational Science and Technology. As doctoral student you will conduct research in the area of numerical methods with particular focus on adaptive finite element methods, efficient algorithms for high performance computing and data assimilation, with applications in biomechanics and aerodynamics, including patient-specific simulation of the human heart, virtual prototyping of renewable energy technology, and forecasting of urban air quality. The work will involve mathematical analysis, programming and modelling, and will be a combination of independent work and collaboration with other researchers within the different projects at the department, including the FEniCS open source project (http://www.fenicsproject.org) and the cloud computing project MSO4SC (http://cordis.europa.eu/project/rcn/205963_en.html). For more information: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:124513/where:4/ ------------------------------------------------------- From: Matthias J. Ehrhardt [log in to unmask] Date: December 07, 2016 Subject: CFP, Inverse Problems, Special issue Special issue on Joint Reconstruction and Multi-Modality/Multi-Spectral Imaging Inverse Problems is pleased to announce the following upcoming special issue, which is now open for submissions via our submissions page. We also kindly ask you to distribute this call among all colleagues who might be interested in submitting their work. Abstract: Multi-channel (either multi-modality or multi-spectral) imaging has become increasingly interesting in many areas like medical imaging, remote sensing, photography and geophysics to name just a few. It includes methods where a subject is imaged on two or more channels either sequentially or simultaneously, as well as coupled techniques where user-controlled probes generate stimulated signals read by a complementary measurement system. Examples include Positron Emission Tomography/Magnetic Resonance Imaging (PET-MRI), multi-spectral CT, and joint DC resistivity/bore hole tomography for oil-exploration. Relevant topics: Multimodality systems such as Positron Emission Tomography plus X-Ray Computed Tomography (PET-CT), Single Photon Emission Computed Tomography plus CT (SPECT-CT), PET plus Magnetic Resonance Imaging (PET-MRI), EEG +MEG, etc.; Combining ill-posed and (almost) well-posed imaging systems such as DOT+MRI, EIT+CT, EEG+fMRI, etc.; Multi- and hyperspectral imaging systems, joint reconstruction of spectral or colour data; Multi-parameter MRI (e.g. fingerprinting) or fMRI time series; Coupled Physics Imaging such as Photoacoustic Tomography (PAT)-plus-Ultrasound (US), ShearWave Elastography (SWE) plus US, etc.; Design of priors promoting joint statistical and/or geometrical similarity such as joint sparsity or joint edges; Algorithms for solving inverse problems with joint priors; Analysis of joint reconstruction approaches (uniqueness, improvement in resolution etc.). Potential authors are invited to contact one of the editors to discuss suitability prior to submission. ------------------------------------------------------- From: Nicholas Valente [log in to unmask] Date: December 06, 2016 Subject: Contents, Advances in Computational Mathematics, 42 (6) TABLE OF CONTENTS, ADVANCES IN COMPUTATIONAL MATHEMATICS, VOL. 42, NO. 6, 2016 http://www.springer.com/journal/10444 Dimensions of spline spaces over non-rectangular T-meshes, Chao Zeng, Meng Wu, Fang Deng & Jiansong Deng Fixed point algorithm based on adapted metric method for convex minimization problem with application to image deblurring, Dai-Qiang Chen, Yan Zhou & Li-Juan Song Unconditional convergence and optimal error estimates of the Euler semi-implicit scheme for a generalized nonlinear Schrödinger equation, Wentao Cai, Jian Li & Zhangxin Chen Convergence analysis of a minimax method for finding multiple solutions of hemivariational inequality in Hilbert space, Xudong Yao Asymptotically compatible schemes for the approximation of fractional Laplacian and related nonlocal diffusion problems on bounded domains, Xiaochuan Tian, Qiang Du & Max Gunzburger One condition for solution uniqueness and robustness of both l1- synthesis and l1-analysis minimizations, Hui Zhang, Ming Yan & Wotao Yin A comparison of Rosenbrock and ESDIRK methods combined with iterative solvers for unsteady compressible flows, David S. Blom, Philipp Birken, Hester Bijl, Fleur Kessels, Andreas Meister & Alexander H. van Zuijlen Bell-shaped nonstationary refinable ripplets, Francesca Pitolli Superconvergence of three dimensional Morley elements on cuboid meshes for biharmonic equations, Jun Hu, Zhongci Shi & Xueqin Yang A weak Galerkin finite element method for the Oseen equations, Xin Liu, Jian Li & Zhangxin Chen Variational Laplacians for semidiscrete surfaces, Wolfgang Carl & Johannes Wallner ------------------------------------------------------- From: Chi-Wang Shu [log in to unmask] Date: December 06, 2016 Subject: Contents, Journal of Scientific Computing, 69 (3) Journal of Scientific Computing http://www.springeronline.com/journal/10915 Volume 69, Number 3, December 2016 Fully Discretized Energy Stable Schemes for Hydrodynamic Equations Governing Two-Phase Viscous Fluid Flows, Yuezheng Gong, Xinfeng Liu and Qi Wang Stabilized Times Schemes for High Accurate Finite Differences Solutions of Nonlinear Parabolic Equations, Matthieu Brachet and Jean-Paul Chehab` Minimizing Eigenvalues for Inhomogeneous Rods and Plates, Weitao Chen, Ching-Shan Chou and Chiu-Yen Kao A Two-Stage Low Rank Approach for Calibrationless Dynamic Parallel Magnetic Resonance Image Reconstruction, Likun Hou, Hao Gao and Xiaoqun Zhang Application of WENO-Positivity-Preserving Schemes to Highly Under-Expanded Jets, Stefano Zaghi, Andrea Di Mascio and Bernardo Favini On the Numerical Solution of the Stationary Power-Law Stokes Equations: A Penalty Finite Element Approach, J.K. Djoko, J.M. Lubuma and M. Mbehou A Second-Order, Weakly Energy-Stable Pseudo-spectral Scheme for the Cahn-Hilliard Equation and Its Solution by the Homogeneous Linear Iteration Method, Kelong Cheng, Cheng Wang, Steven M. Wise and Xingye Yue Tracing Multiple Solution Branches for Nonlinear Ordinary Differential Equations: Chebyshev and Fourier Spectral Methods and a Degree-Increasing Spectral Homotopy [DISH], John P. Boyd A Weighted ADI Scheme for Subdiffusion Equations, Hong-lin Liao, Ying Zhao and Xing-hu Teng A Low Complexity Algorithm for Non-Monotonically Evolving Fronts, Alexandra Tcheng and Jean-Christophe Nave A Priori and a Posteriori Error Analyses of an Augmented HDG Method for a Class of Quasi-Newtonian Stokes Flows, Gabriel N. Gatica and Filander A. Sequeira A Superconvergent C0 Discontinuous Galerkin Method for Kirchhoff Plates: Error Estimates, Hybridization and Postprocessing, Xuehai Huang and Jianguo Huang An Adaptive Finite Element Method for the Transmission Eigenvalue Problem, Jiayu Han and Yidu Yang Local Linear Convergence of a Primal-Dual Algorithm for the Augmented Convex Models, Tao Sun, Roberto Barrio, Hao Jiang and Lizhi Cheng A High-Order Level-Set Method with Enhanced Stability for Curvature Driven Flows and Surface Diffusion Motion, Yujie Zhang and Wenjing Ye An h-Adaptive RKDG Method for the Vlasov-Poisson System, Hongqiang Zhu, Jianxian Qiu and Jing-Mei Qiu Capacity of the Adini Element for Biharmonic Equations Jun Hu, Xueqin Yang and Shuo Zhang A High Order HDG Method for Curved-Interface Problems Via Approximations from Straight Triangulations, Weifeng Qiu, Manuel Solano and Patrick Vega ------------------------------------------------------- End of Digest **************************