Computational Methods in Analysis and Applications
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: closed (1 September 2019) | Viewed by 36608
Interests: numerical analysis; numerical functional analysis; iterative methods for solving equations and systems of equations
Special Issues, Collections and Topics in MDPI journals
A plethora of problems in mathematics, economics, physics, biology, chemistry, engineering, and other disciplines can be reduced to solving an equation or a system of equations in an abstract space. The solution of the equation can be found in closed form only in some special cases. That is why most researchers and practitioners introduce iterative methods to produce a sequence approximating the solution under certain conditions. The rapid development of digital computers, advanced computer arithmetics, and symbolic computation have made possible the implementation of high convergence order methods. Moreover, many methods of only academic interest in the past have now become feasible. The main purpose of this Special Issue is to present new ideas in the field of iterative methods and their applications in the aforementioned disciplines.
This issue gives an opportunity to researchers and practitioners to communicate their ideas. The contributors are invited to submit original research papers to stimulate interest in nonlinear equations and related areas.
Prof. Dr. Ioannis Argyros
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Newton-like methods
- Steffensen-type methods
- variational methods
- iterative methods for image processing
- methods for solving inverse problems
- methods for generalized equilibrium problems
- methods for optimization problems
- methods in biology, chemistry, and medicine
- methods in economics
- methods in physics
- methods in engineering