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Call for Papers: SIAM Journal on Scientific Computing Special Section

As in previous even-numbered years, SIAM Journal on Scientific Computing (SISC) is planning a Special Section, dedicated to recent progress in iterative methods, in conjunction with the Sixteenth Copper Mountain Conference on Iterative Methods.

Submissions are encouraged in all aspects of iterative methods including the following areas: stochastic PDEs and uncertainty quantification, iterative linear algebraic techniques for data mining, optimization, inverse problems, large-scale eigenvalue and singular value computations, iterative methods in imaging, Krylov accelerators, preconditioning, asynchronous iterative solvers, iterative solvers on high concurrency node architectures, multigrid, domain decomposition, nonlinear solution methods, surrogate methods/model order reduction, low-rank approximations, nonlinear least squares, solvers for indefinite systems, hybrid direct/iterative solvers, robust and scalable solvers for coupled multi-physics problems (electromagnetics, fluids, MHD, energy, earth systems, etc.), solvers for quantum chemistry/physics applications, iterative solvers in data science and machine learning.

Submissions will be accepted beginning April 1 and until May 31, 2020. Attendees and participants of the conference as well as the general community are invited to submit papers. Papers will be subject to review by a guest Editorial Board.

Submissions

All interested should submit a manuscript and cover letter in PDF format via SISC's online submission site here. Note the block labeled Section (just under the keywords block on your submission screen) and select "Special Section” from the dropdown box. Directly below this is a block labeled Special Section, where you’ll want to select “Copper Mountain Special Section 2020” from the dropdown.

If any questions, contact Mitch Chernoff, SIAM Publications Manager, at c[email protected], or Brittni Holland, Editorial Associate, at [email protected].

Important additional information is available here. Questions about suitability of content can be directed to Irad Yavneh at [email protected].

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