[External Email] Subject: NA Digest, V. 20, # 41 NA Digest Tuesday, October 27, 2020 Volume 20 : Issue 41 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Feng Kang Prize Announcement Domain Decomposition Methods, ONLINE, Dec 2020 Multi-scale, Multi-physics and Coupled Problems, South Korea, Jan 2021 Research Group Head Position, Data-driven Control and Optimization Research Scientist Position, Alg Modelling & SW Eng, ABB Research Assistant Position, WIAS, Germany Research Associate Position, SISSA mathLab, Italy Instructor Position, Applied/Computational Mathematics, EPFL Research Scientist & Postdoc Positions, Simula Research Laboratory Postdoc Position, Applied Mathematics Postdoc Position, HPC/NA, Max Planck, Germany Postdoc Position, HPDA/AI, Max Planck, Germany Postdoc Position, Math, Comp, Exp Neuroscience, BCAM Postdoc Position, Mathematical models for COVID-19, BCAM Postdoc Position, Scientific Computing, Bonn Univ Postdoc Position, Tensor Computations, Wake Forest Univ PhD Position, Numerical Analysis, Mississippi State Univ PhD Position, Numerical Analysis, Univ Leicester PhD Positions, Data Science, Univ of Edinburgh Call for Papers, Reduced Order Modeling in Geosciences Contents, Special Issue, OMS, 60th Birthday of Ya-xiang Yuan 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: Rujuan Ding [log in to unmask] Date: October 26, 2020 Subject: Feng Kang Prize Announcement The Committee of Feng Kang Prize of Scientific Computing is seeking applications and nominations for 2021 year. The prize is awarded every other year to young Chinese Scientists under the age of fifty in China and abroad for their outstanding researches in numerical analysis and scientific computing. Application forms can be obtained by anonymous ftp from http://lsec.cc.ac.cn/fengkangprize/contact.html Deadline for applications and nominations is MARCH 15, 2021. Please send all materials to Ms. Ru-Juan Ding Institute of Computational Mathematics No.55, East Road, Zhong-Guan-Cun, Beijing 100190, CHINA Email: [log in to unmask] ------------------------------------------------------- From: Felix Kwok [log in to unmask] Date: October 25, 2020 Subject: Domain Decomposition Methods, ONLINE, Dec 2020 DD26: Registration closing soon The 26th International Conference on Domain Decomposition Methods (DD26), organized by the Chinese University of Hong Kong (CUHK), will take place ONLINE from December 7 to 12, 2020. To take into account the various geographical locations of our participants, plenary talks are scheduled at a time that is reasonable for most time zones, and parallel sessions are scheduled twice a day in such a way that participants can attend at least one out of two sessions comfortably. Also, talks will be recorded for later viewing by other participants (subject to consent from individual speakers). The full schedule can be found on the conference website. This is a gentle reminder that registration will close on October 31, 2020. The registration fees are HKD800 (about USD 100) for regular participants, and HKD400 (about USD 50) for students. We ask all speakers at minisymposia and contributed sessions to register by that date, as we will be obliged to remove unregistered speakers from the schedule. If you have registered in 2019 and opted to keep your fees for 2020, there is no need to register again, and you will be contacted for refund arrangements. For more information about DD26, please see the conference website at https://www.math.cuhk.edu.hk/conference/dd26/?Conference-Home ------------------------------------------------------- From: Neda Ebrahimi Pour [log in to unmask] Date: October 27, 2020 Subject: Multi-scale, Multi-physics and Coupled Problems, South Korea, Jan 2021 Call for Abstract contribution - Deadline extension Submission deadline: 13th of November 2020 (extended) Workshop on Multi-scale, Multi-physics and Coupled Problems on Highly Parallel Systems (MMCP) at HPC Asia 2021, January 20-22, Jeju, South Korea This workshop will provide a platform for presentations and discussions on advances in numerical simulation for complex multi-scale, multi-physics and coupled problems. The goal of the workshop is to gather researchers (computer scientists, engineers, mathematicians, physicists, chemists, biologists, material sciences etc.) working on different disciplines but all facing challenges in multi-scale and multi-physics as well as coupled simulations on HPC systems. The main focus will be set on computational issues regarding performance and suitability for high-performance computing. Furthermore, the underlying strategies to enable these simulations will be highlighted. Keeping these aims in mind, contributions from all aspects of engineering applications will be considered. Topics of applications will include (but not be limited to): Multi-scale problems; Multi-physics problems; Molecular dynamics; Multi-domain/Concurrency; Multi-scale and/or multi-physics modelling for biomedical or biological systems; Novel approaches to combine different scales and physics models in one problem solution; Challenging applications in industry and academia, e.g. multiphase flows, fluid-structure interactions, chemical engineering, material science, biophysics, automotive industry, etc.; Load balancing; Adaptivity; Heterogeneous architectures; New algorithms for parallel-distributed computing, specific to this topic. More information about this workshop and the submission procedure can be found on our webpage: https://www.mb.uni-siegen.de/sts/workshops/mmcp2021/ ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: October 22, 2020 Subject: Research Group Head Position, Data-driven Control and Optimization Weierstrass Research Group on "Data-driven Control and Optimization" The Weierstrass Institute for Applied Analysis and Stochastics invites applications for the Head of a research group (m/f/d) (Ref. 20/21) on data-driven control and optimization with applications in quantitative biomedicine, modern materials or sustainable energy. A research orientation combining optimization with partial differential equations with mathematically founded artificial intelligence, in particular machine learning techniques, is of special interest. The position has a limited term of three years with the possibility of a renewal upon evaluation, and it is equipped with funds for research personnel as well as a budget for scientific travels and guests. The Weierstrass research group will be part of WIAS' flexible research platform. We are looking for a highly motivated early-career scientist with a PhD and an outstanding record in applied mathematics with an emphasis on optimization. Applications from females are particularly welcome. See here for more information: https://short.sg/j/7836197 ------------------------------------------------------- From: Thorsten Schindler [log in to unmask] Date: October 26, 2020 Subject: Research Scientist Position, Alg Modelling & SW Eng, ABB Corporate Research You are an expert in algorithmic and numerical modelling as well as software engineering? You would like to leverage model-based data analytics, machine learning (statistics/uncertainty quantification) and artificial intelligence for next generation industrial prototypes? You want to apply your knowledge in a challenging and fascinating environment up to full-stack solutions? Then join our team of highly motivated researchers to develop the foundations for ABB's automation and electrification systems. Please find more information on the positions, requirements as well as online application form at: https://1brd.ly/NA1Bq? sharereference=eyJzaGFyZVRva2VuIjoiYmQ3MnJjNHY3b2FmIiwidGVuYW50SWQiOiI4OTlm ZDU1Yi1kMzgxLTQ1YmEtYTdkNC0yMWUzNmUzYjM1MzMifQ== ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: October 22, 2020 Subject: Research Assistant Position, WIAS, Germany WIAS invites in the Research Group 'Laser Dynamics' (Head: PD Dr. Uwe Bandelow) applications for a Research Assistant (f/m/d) (Ref. 20/22). to be filled at January 1st, 2021. The position is associated with the research project "Modeling and Optimization of Semiconductor Lasers for Quantum Metrology Applications" within the Berlin Mathematics Research Center MATH+. The aim of the position is to conduct research in the field of modeling and simulation of semi-conductor lasers. The research results shall be published in scientific journals and presented at conferences. In addition, preliminary work for a dissertation on the above-mentioned topic may be prepared. Prerequisite is an above-average master's/diploma or doctoral degree in physics or mathe-matics. Knowledge in the field of modeling and nonlinear dynamics of semiconductor lasers as well as experience with the theoretical description of stochastic processes (noise) in opto-electronic devices are beneficial. Moreover, programming skills and expertise in relevant nu-merical methods are required. The holder of the position is willing to cooperate with users and subject-related colleagues. Please direct your queries to Priv.-Doz. Dr. Uwe Bandelow ([log in to unmask]). The position is remunerated according to TVoD and is limited until December 31st, 2021 with a reduced working time of 29.25 hours per week. See here for more information: https://short.sg/j/7854597 ------------------------------------------------------- From: Gianluigi Rozza [log in to unmask] Date: October 25, 2020 Subject: Research Associate Position, SISSA mathLab, Italy A new open position (12 months) as research associate between SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) and European Commission Joint Research Centre in Ispra (Varese), Italy (https://ec.europa.eu/jrc/en/about/jrc-site/ispra) is available with deadline for the call on November 9, 2020 at 1pm (Rome time): https://www.sissa.it/bandi/selezione-pubblica-titoli-progetto-conferimento-di-n-1-assegno- di-ricerca-jrc-area-matematica Apply here: https://pica.cineca.it/sissa/ar-jrc-mate-52-2020 The position is in the framework of FSE FVG: European Social Fund program 2014-2020 sponsored by Regione Autonoma Friuli Venezia Giulia and in cooperation with European Commission Joint Research Centre in Ispra (Varese), Italy (https://ec.europa.eu/jrc/en/about/jrc- site/ispra) and it is expected to start as soon as filled (beginning 2021). The project is "Numerical simulations of human brain vulnerability to blast loading". Proven experience in Mathematical modelling, numerical analysis and simulation for complex systems and industry modelled by PDEs, computational fluid dynamics for optimisation and control, data science, data assimilation and uncertainty quantification, scientific computing programming, high performance computing and/or large scale computing competences. Additional requirements, competencies and abilities: Good knowledge of high level programming languages, e.g., C/C++/Python; Scientific Computing software libraries, Reduced Order modelling techniques (reduced basis methods, POD), efficient geometrical parametrisation techniques. ------------------------------------------------------- From: Fabio Nobile [log in to unmask] Date: October 21, 2020 Subject: Instructor Position, Applied/Computational Mathematics, EPFL The Institute of Mathematics at the Ecole Polytechnique Federale de Lausanne (EPFL) invites applications for a full-time instructorship in Applied and/or Computational Mathematics. The term of the position is two years, with the possibility of extension for another two years. Instructors are expected to teach Mathematics courses at all levels in French or English, with an initial teaching load corresponding to half the teaching load of regular faculty, and gradually progressing to the latter. Moreover, instructors are expected to develop and sustain an excellent independent research program. They are welcome to collaborate and encouraged to interact with members of the Institute, but they maintain full research independence. EPFL salaries for instructors are highly competitive. In addition, instructors receive a substantial yearly budget for travel expenses and other expenditures. Applications may be submitted by December 1st, 2020 at https://recruiting.epfl.ch/Vacancies/1529/Description/2 ------------------------------------------------------- From: Xing Cai [log in to unmask] Date: October 21, 2020 Subject: Research Scientist & Postdoc Positions, Simula Research Laboratory The Department of High-Performance Computing, Simula Research Laboratory, is currently having one open position of research scientist and one open position of post-doc. The application deadline is November 18. For more info, please visit: https://www.simula.no/about/job/high-performance-computing-call-research-scientist-and- postdoc . ------------------------------------------------------- From: Cassio Oishi [log in to unmask] Date: October 21, 2020 Subject: Postdoc Position, Applied Mathematics This proposal sets out a research plan to investigate a set of adaptive data structures and computational methods when applied to solve non- Newtonian materials in complex moving interface flows. This project will focus on improvements on hybrid simulations, merging the advantages of static adaptive grids and moving structures such as particles to track the surface position in 3D. RBF-FD (Radial Basis Function-Finite Difference) technique will be applied to particle interpolations and differential values computation to combine both techniques seamlessly. Moreover, applying high accurate boundary conditions over the particles' surface allow for improved tracking of the correct surface behavior. The project is associated with the Center for Mathematical Sciences Applied to Industry (CeMEAI) - a Research, Innovation and Dissemination Center (CEPID) in the state of Sao Paulo (Brazil) supported by FAPESP (Sao Paulo Research Foundation) - and is hosted as by the Faculty of Science and Technology of the Sao Paulo State University (FCT-UNESP) at Presidente Prudente. Candidates must hold a doctoral degree in Applied Mathematics, or a related area, with experience in adaptive data structures and methods to numerically solve fluid equations with a hybrid approach. To apply please email (only PDF files) the following items at [log in to unmask] until November, 20, 2020: 1. A letter of interest, containing full contact information, year graduated and citizenship/immigration status, concisely responding to the research emphases above; 2. A CV; 3. A cover letter including names and contact information for 3 references (no letters please). Indicate 'CEPID Postdoc' in the subject field. This opportunity is open to candidates of any nationalities. The selected candidate will receive a FAPESP's Post-Doctoral fellowship in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship which should be spent in items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/3927. ------------------------------------------------------- From: Markus Rampp [log in to unmask] Date: October 26, 2020 Subject: Postdoc Position, HPC/NA, Max Planck Computing and Data Facility, Germany The Max Planck Computing and Data Facility (MPCDF) is looking for a Computational Scientist or HPC application expert (m/f/d) The successful candidate will work on the development and optimization of scientific high-performance computing (HPC) simulation codes, primarily in the field of classical molecular dynamics and soft matter research, as pursued in the Polymer Theory department at the Max Planck Institute for Polymer Research. A major focus will be on preparing applications for the upcoming exascale supercomputer architectures. The applicant should hold a PhD in Physics, Computer Science, applied Mathematics, or a similar subject. A strong background in scientific software development (ideally with C++ and Python), familiarity with common parallel programming models (like MPI, OpenMP, CUDA), and some experience with large, distributed software projects and high-performance computing are required. Experience with particle-based molecular dynamics simulations is desirable. We offer the opportunity to work on state-of-the-art numerical algorithms, leading HPC codes and latest supercomputer technology and to maintain close collaborations with leading computational scientists and method developers. The full-time position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience according to the German TVoD. For detailed information please visit http://www.mpcdf.mpg.de/about-mpcdf/career/jobs/ ------------------------------------------------------- From: Markus Rampp [log in to unmask] Date: October 26, 2020 Subject: Postdoc Position, HPDA/AI, Max Planck Computing and Data Facility, Germany The Max Planck Computing and Data Facility (MPCDF) is looking for a Data Scientist or Machine Learning expert (m/f/d). The successful candidate will work on data-analytics projects, especially in the fields of machine learning and deep learning. The main focus will be on developing and optimizing machine-learning solutions for high-performance computing (HPC) systems. The applicant should hold a PhD in Physics, applied Mathematics, Computer Science or a similar subject and have a strong background in developing and optimizing end-to-end machine learning solutions. Deep knowledge of at least one of the software frameworks Tensorflow, Pytorch or Mxnet is necessary. A solid background in Python, and at least one other HPC programming language such as C++, C, or Fortran is required. Familiarity with the concepts and applications of distributed deep learning and the Apache Spark platform is desirable. Experience in high-performance computing is considered a major plus. We offer the opportunity to work on cutting-edge high-performance data-analytics projects at the interface of data science and high-performance computing, in close collaboration with leading machine-learning experts and domain scientists of various Max Planck Institutes, e.g. in the areas of materials and bio sciences, theoretical chemistry, polymer research, astrophysics, plasma physics, and particle physics. The full time position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience according to the German TVoD. ------------------------------------------------------- From: Recruitment BCAM [log in to unmask] Date: October 21, 2020 Subject: Postdoc Position, Math, Comp, Exp Neuroscience, BCAM IC2020_10_ Postdoctoral Fellowship in Mathematical, Computational and Experimental Neuroscience Postdoctoral Fellowship in Mathematical, Computational and Experimental Neuroscience (MCEN). The researcher will work in the MCEN team, a vibrant international group aiming to explain how the brain processes and stores information, how these are disrupted under pathological conditions and develop novel technologies to treat neurodegenerative diseases. Main activities: Perform modelling and data analysis on biological data; Interact with experimentalists and mathematicians alike. APPLY AT: http://www.bcamath.org/en/research/job/ic2020-10-postdoctoral-fellowship-in- mathematical-computational-and-experimental-neuroscience DEADLINE: 16th November, 2020, 14:00 SPAIN ------------------------------------------------------- From: Recruitment BCAM [log in to unmask] Date: October 22, 2020 Subject: Postdoc Position, Mathematical models for COVID-19, BCAM IC2020_10_Postdoctoral Fellowship in Biomathematics at the Mathematical and Theoretical Biology Group Mathematical models for COVID-19 epidemiology: assessing risks and control measures APPLY AT: http://www.bcamath.org/en/research/job/ic2020-10-postdoctoral-fellowship-in- biomathematics-at-the-mathematical-and-theoretical-biology-group DEADLINE: 16TH NOVEMBER, 14:00 SPAIN ------------------------------------------------------- From: Carsten Burstedde [log in to unmask] Date: October 21, 2020 Subject: Postdoc Position, Scientific Computing, Bonn Univ A two-year postdoc position is available at the Institute for Numerical Simulation at the University of Bonn, Germany. The postdoctoral researcher will be working in the group of Professor Carsten Burstedde, with a primary focus on scalable algorithms for adaptive mesh refinement. The appointment will include technical research as well as implementation in the ``p4est'' software. Furthermore, numerical solver design and interfacing to fluid dynamics community codes will be part of the job description. Candidates are expected to have obtained a doctorate degree in applied mathematics, scientific computing, or a closely related field. We expect proficient experience in the development of scientific software and require first-hand knowledge of the use of high performance computing environments. With respect to the greater context of interdisciplinary collaborative work, communication skills will play an important role. The appointment is planned for 2021 and 2022 subject to funding (which will be decided upon shortly) and according to German standard full salary rates. Please submit a current CV, a cover letter outlining motivation and prior experience and two references that may provide a letter of support to [log in to unmask] ------------------------------------------------------- From: Grey Ballard [log in to unmask] Date: October 20, 2020 Subject: Postdoc Position, Tensor Computations, Wake Forest Univ Description: The Department of Computer Science at Wake Forest University invites applications for a postdoctoral research fellowship beginning in July 2021. The candidate will work primarily with Prof. Grey Ballard (http://www.wfu.edu/~ballard) to design, implement, and analyze efficient algorithms for tensor computations using parallelization and/or randomization. We are particularly interested in scholars who have a strong background in numerical linear algebra, numerical analysis, and/or parallel and high-performance computing. The successful candidate will collaboratively prepare presentations and papers for dissemination of results and help train graduate and undergraduate student research assistants. In addition to conducting research, the fellow will teach one computer science course per year. This is a one-year contract position with possible extensions up to three years. Qualifications: Candidates should have a PhD in computer science, mathematics, statistics, or a closely related field, with a strong background in numerical linear algebra, numerical analysis, and/or parallel and high- performance computing and some familiarity with tensor computations. Application: Candidates should submit a cover letter explaining interests and goals with respect to both research and teaching, a complete CV, and 2-3 references that could provide a letter of support. Contact Grey Ballard ([log in to unmask]) with questions and upon formal application. For more details and to apply, see http://tiny.cc/WFU-Postdoc. ------------------------------------------------------- From: Vu Thai Luan [log in to unmask] Date: October 25, 2020 Subject: PhD Position, Numerical Analysis, Mississippi State Univ A Ph.D. position is available within a three-year NSF grant: "New Advanced Time Integration Methods for Multiphysics Systems and Applications". Research Topics: Development of new advanced time integration methods (Exponential Integrators and Multirate Integrators) for multiphysics nonlinear PDEs and application models in meteorology (numerical weather prediction), computational fluid dynamics, computational biology, and visual computing. The successful candidate will be working under the supervision of Dr. Vu Thai Luan (PI of the project) in the Department of Mathematics and Statistics, Mississippi State University (MSU). MSU, founded in 1878, is one of the R1 universities (classified at the highest research activity level) in the US and is Mississippi's leading research university. The student will also have the opportunity to collaborate with multidisciplinary researchers from MSU, SMU, KAUST, Environment Canada, and several national Labs in the US. Applicants must hold a Bachelor's or Master's degree in Mathematics or Computational/Applied Mathematics. A good knowledge of numerical analysis and scientific computing is a plus. More information and application instructions: https://vuthailuan.com/open-position/ ------------------------------------------------------- From: Alberto Paganini [log in to unmask] Date: October 26, 2020 Subject: PhD Position, Numerical Analysis, Univ Leicester The University of Leicester invites applications for a fully funded 3.5-year PhD studentship to work on the project "Structural optimization applied to space missions" under the supervision of Dr Alberto Paganini and Prof Emmanuil Georgoulis. This project lies at the interface of numerical analysis and scientific computing. The project focuses on new discretization approaches to structural optimization and their application to satellite design. The application deadline is 23 November 2020. For informal inquiries, please contact Dr Alberto Paganini at [log in to unmask] For a full project description and application details, visit https://www.findaphd.com/phds/project/structural-optimization-applied-to-space- missions/?p124431 ------------------------------------------------------- From: Nick Polydorides [log in to unmask] Date: October 24, 2020 Subject: PhD Positions, Data Science, Univ of Edinburgh The Real-time Simulation & Computational Imaging Group at the School of Engineering invites applications for PhD positions on randomised numerical algebra for (i) 'Real-time image restoration', and (ii) 'Sketching for data-intensive health analytics' The aim of these posts is to pursue research in the exciting new field of randomised numerical algebra in order to expedite algorithms for image restoration and online model learning. Candidates should have an above-average master's/diploma degree in mathematics, statistics or computer science with a focus on inverse problems, Monte Carlo methods and linear algebra. Further and eligibility please visit http://www.homepages.ed.ac.uk/npolydor/PhD1_2021.pdf http://www.homepages.ed.ac.uk/npolydor/PhD2_2021.pdf More info on our group's activities and projects http://www.homepages.ed.ac.uk/npolydor Informal enquiries: [log in to unmask] Deadline: 15th of January 2021. ------------------------------------------------------- From: Antje Herbst [log in to unmask] Date: October 22, 2020 Subject: Call for Papers, Reduced Order Modeling in Geosciences GEM - International Journal on Geomathematics publishes papers which describe, model and map the complexity of the processes within the Earth, at its surface, and in the atmosphere by means of modern mathematical methodologies. GEM has established Topical Collections to highlight important topics in the journal. The Topical Collection on recent advances in "Reduced Order Modeling in Geosciences" edited by Bulent Karasozen provides an overview of the progress in this rapidly developing area, to identify current challenges, and to present and discuss new approaches. The topics covered include but are not limited to geophysical flows, seismic inversion, poroelasticity, fracture modeling, reservoir simulations, geomechanics, and data-driven model reduction. In addition, submissions of overview papers reporting on significant progress in the field are highly encouraged. The guest editor of this Topical Collection invites interested authors to submit their contributions to GEM (https://www.springer.com/journal/13137/) starting September 1, 2020 until January 31, 2021 and to spread this "Call for Papers" to other colleagues active in this area. Click the link below to download the PDF with all information: https://resource-cms.springernature.com/springer-cms/rest/v1/content/18261530/data/v1 ------------------------------------------------------- From: Oleg Burdakov [log in to unmask] Date: October 20, 2020 Subject: Contents, Special Issue, OMS, 60th Birthday of Ya-xiang Yuan Optimization Methods & Software (OMS) special issue dedicated to the 60th birthday of Ya-xiang Yuan OMS 35(2), Part I: https://www.tandfonline.com/toc/goms20/35/2 Yu-Hong Dai, Xin Liu, Jiawang Nie and Zaiwen Wen, Preface Azam Asl and Michael L. Overton, Analysis of the gradient method with an Armijo-Wolfe line search on a class of nonsmooth convex functions C. Cartis, N.I.M. Gould and Ph.L. Toint, A concise second-order complexity analysis for unconstrained optimization using high-order regularized models Wenbo Gao, Donald Goldfarb and Frank E. Curtis, ADMM for Multiaffine Constrained Optimization Nicholas I.M. Gould and Valeria Simoncini, Error estimates for iterative algorithms for minimizing regularized quadratic subproblems Jiawang Nie, Liu Yang and Suhan Zhong, Stochastic Polynomial Optimization Dingtao Peng and Xiaojun Chen, Computation of second-order directional stationary points for group sparse optimization Xin Zhang, Qin Ni and Zhili Ge, A convergent Newton algorithm for computing Z-eigenvalues of an almost nonnegative irreducible tensor Xuezhong Wang, Maolin Che, Liqun Qi, Yimin Wei, Modified gradient dynamic approach to the tensor complementarity problem Leqin Wu, Xin Liu and Zaiwen Wen, Symmetric rank-1 approximation of symmetric high-order tensors OMS 35(4), Part II: https://www.tandfonline.com/toc/goms20/35/4 Albert S. Berahas, Raghu Bollapragada and Jorge Nocedal, An Investigation of Newton-sketch and subsampled Newton methods Yakui Huang, Yu-Hong Dai, Xin-Wei Liu and Hongchao Zhang, Gradient methods exploiting spectral properties Zeyu Jia, Zaiwen Wen and Yinyu Ye, Toward Solving 2-TBSG Efficiently Jian Sun, Dachuan Xu, Deren Han, Wenjing Hou and Xiaoyan Zhang, Randomized mechanism design for decentralized network scheduling Conghui Tan, Yuqiu Qian, Shiqian Ma and Tong Zhang, Accelerated dual-averaging primal-dual method for composite convex minimization Haiyan Wang and Jinyan Fan, Convergence rate of the Levenberg-Marquardt method under Holderian local error bound Li Wang, Lei-hong Zhang, Zhaojun Bai and Ren-Cang Li, Orthogonal canonical correlation analysis and applications Xiao Wang and Hongchao Zhang, Inexact proximal stochastic second-order methods for nonconvex composite optimization Jialiang Xua and Yun-Bin Zhao, Stability analysis for a class of sparse optimization problems Yinqiao Yan and Qingna Li, An efficient augmented Lagrangian method for support vector machine dedicated to Professor Ya-xiang Yuan on the occasion of his 60th birthday, OMS 35(5), Part III: https://www.tandfonline.com/toc/goms20/35/5 E.G. Birgin and J.M. Martinez, Complexity and performance of an augmented Lagrangian algorithm Tamir Hazan, Shoham Sabach and Sergey Voldman, Stochastic proximal linear method for structured non-convex problems Florian Jarre, Yu-Hong Dai and Felix Lieder, On the existence of affine invariant descent directions Wei Peng, Yu-Hong Dai, Hui Zhang and Lizhi Cheng, Training GANs with centripetal acceleration Yuki Satake, Tomohiro Sogabe, Tomoya Kemmochi and Shao-Liang Zhang, On a transformation of the *-congruence Sylvester equation for the least squares optimization Cong Sun and Yanfei Wang, Gravity-magnetic cross-gradient joint inversion by the cyclic gradient method Xiaojiao Tong, Liu Yang, Xiao Luo and Bo Rao, A stochastic dual dynamic programming method for two-stage distributionally robust optimization problems Yule Zhang, Jia Wu and Liwei Zhang, The rate of convergence of proximal method of multipliers for nonlinear programming ------------------------------------------------------- End of Digest **************************