Numerical Methods for Approximation of Functions and Data
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 10021
Special Issue Editors
Interests: numerical analysis; approximation theory; collocation; linear algebra
Interests: spectral; pseudo-spectral and collocation methods for PDEs; mathematical modelling and mathematical biology
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to publish original research articles covering recent advances in any of the areas included in approximation of functions and data. Particular emphasis is placed on innovative numerical methods for the approximation of continuous functions and data sets, with some applications. Topics include but are not limited to polynomial and rational function approximation, discrete and continuous least squares application, regression analysis, curve fitting, interpolation and extrapolation, and approximation using orthogonal functions. Applications to real-world problems are encouraged with the presentation of algorithms and comparison with existing techniques.
Dr. Pravin Singh
Dr. Naben Parumasur
Prof. Dr. Vijay Kumar Kukreja
Guest Editors
Manuscript Submission Information
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