Numerical Methods II

Dear Colleagues,

This Special Issue, “Numerical Methods II”, is open for submissions and welcomes papers from a broad interdisciplinary area, since ‘numerical methods’ are a specific form of mathematics that involves the creating and use of algorithms to map out the mathematical core of a practical problem.

Numerical methods naturally find application in all fields of engineering, physical sciences, life sciences, social sciences, medicine, business, and even arts. The common uses of numerical methods include approximation, simulation, and estimation, and there is almost no scientific field in which numerical methods do not find use.

Some subjects included in ‘numerical methods’ are IEEE arithmetic, root finding, systems of equations, least-squares estimation, maximum likelihood estimation, interpolation, numeric integration and differentiation—the list may go on and on. MSC 2010 subject classification for numerical methods includes 30C30 (in conformal mapping theory), 31C20 (in connection with discrete potential theory), and 60H35 (computational methods for stochastic equations), and most of the subjects in 37Mxx (approximation methods and numerical treatment of dynamical systems), 49Mxx (numerical methods), 65XX (numerical analysis), 74Sxx (numerical methods for deformable solids), 76Mxx (basic methods in fluid mechanics), 78Mxx (basic methods for optics and electromagnetic theory), 80Mxx (basic methods for classical thermodynamics and heat transfer), 82Bxx (equilibrium statistical mechanics), 82Cxx (time-dependent statistical mechanics), and 91Gxx (mathematical finance). Topics of interest include (but are not limited to) the numerical methods for approximation, simulation, and estimation.

Prof. Dr. Lorentz Jäntschi
Prof. Daniela Roșca
Guest Editors

Manuscript Submission Information

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