Computational Methods in Analysis and Applications 2020
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 October 2020) | Viewed by 23104
Special Issue Editor
Interests: numerical analysis; numerical functional analysis; iterative methods for solving equations and systems of equations
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This issue is a continuation of the previous successful Special Issue “Computational Methods in Analysis and Applications”.
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 arithmetic, and symbolic computation have made the implementation of high convergence order methods possible. Moreover, many methods that were previously only of academic interest 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 Special Issue provides an opportunity for researchers and practitioners to communicate their ideas. We are inviting contributions of original research papers to stimulate interest in nonlinear equations and related areas.
Prof. Dr. Ioannis K. Argyros
Guest Editor
Manuscript Submission Information
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Keywords
- 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
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