Numerical Algebra, Control and Optimization (NACO)
 

General purpose

NACO aims to attract high quality original contributions on any non-trivial interplay between numerical linear algebra, control and optimization. These three areas are closely related and complementary. The developments of many fundamentally important theories and methods in optimization and control are based on numerical linear algebra. Efficient implementation of algorithms in optimization and control also provides new theoretical challenges in numerical linear algebra. Furthermore, optimization theory and methods are widely used in control theory, especially for solving practical control problems. On the other hand, control problems often initiate new theories, techniques, and methods to be developed in optimization.

The prime objective of NACO is to provide a single forum for and to promote collaboration between researchers and practitioners in these areas. Significant practical and theoretical problems in one area can be addressed by the use of appropriate recent advanced theory techniques and methods from the other two areas leading to the discovery of new ideas and the development of novel methodologies in numerical algebra, control, and optimization.

Aim and Scope

Topics of interest to NACO include but are not limited to the following:

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, 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.

Reviewing procedure

Each paper will be assigned by Professor K. L. Teo, the Editor-in-Chief (EiC), to a Managing Editor (ME). The EiC and the ME will reject the paper if they do not think that the paper should enter into the formal reviewing process. The ME will assign the paper to an Associate Editor (AE) and the AE will make a decision as to whether or not the paper should be sent out for external review. If not, the AE will write a short note rejecting the paper and send it to the ME. Otherwise, the AE will contact three or more potential referees for the paper directly with the request of a report within three months. Once the AE has collected two or more reports, the AE will provide the ME with a final assessment of the paper's quality and a recommendation (accept, minor revision, major revision, reject). NACO will then communicate the final decision to authors. In the case of a major revision, papers will undergo a second round of review with a similar procedure. When the paper is finally accepted, the EiC will send the formal acceptance letter to the corresponding author.

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