Numerical Algebra, Control & Optimization
NACO aims to attract high quality contributions in any of the following three areas.
Numerical Algebra: Original research in theory, algorithms, and applications of numerical algebra. Topics include systems of equations, least squares problems, eigenvalue and singular value problems, tensor computations, direct solution methods, sparse matrix techniques, iterative methods such as Krylov subspace methods and Newton-type methods, preconditioning methods, and regularization methods. Papers on new theories and/or efficient algorithms for solving problems in science and engineering, especially in control and optimization, are particularly encouraged.
Control: Original theoretical and applied research and development in the control of systems including all facets of control theory and its applications. Papers of a theoretical nature should include practical motivations and papers dealing with control of systems should include theoretical background in linear or nonlinear algebra and/or optimization. Topics include robust, distributed, optimal and stabilizing control and their applications in engineering, particularly in artificial intelligence, financial, and natural resources systems.
Optimization: Original research and advances in theoretical, numerical, and applied aspects of optimization. Topics include linear and nonlinear programming, discrete and mixed integer optimization, global optimization, non-smooth optimization, semi-infinite and semi-definite programming, stochastic programming, large-scale optimization algorithms, variational inequality problems, multiobjective programming, and equilibrium problems. Papers on novel and efficient optimization algorithms with numerical implementations are particularly welcome. In the application areas, special interests are on data science.
Referees are expected to submit their report within 6-8 weeks (unless otherwise specified).
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