Iterative Algorithms for Nonlinear Problems: Convergence and Stability
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Analysis of Algorithms and Complexity Theory".
Deadline for manuscript submissions: closed (15 November 2020) | Viewed by 24350
Special Issue Editors
Interests: numerical analysis; iterative methods; nonlinear problems; discrete dynamics, real and complex
Special Issues, Collections and Topics in MDPI journals
Interests: iterative processes; matrix analysis; numerical analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Many areas of Science and Technology involve the non-trivial task of solving nonlinear problems. Usually, it is not affordable in a direct way and iterative algorithms play a fundamental role in their approach. This area of research has enjoyed a period of an exponential growth in the last number of years.
This Special Issue is mainly dedicated, but not exclusively, to the design, analysis of convergence and stability of new iterative algorithms for solving nonlinear problems. Moreover, their application to practical problems of Engineering and Basic Sciences are of singular interest. The set of algorithms includes, but is not limited to, methods with and without memory, with derivatives of derivative-free, the real or complex dynamics associated to them and an analysis of their convergence that can be local, semilocal or global.
Prof. Dr. Alicia Cordero
Prof. Dr. Juan R. Torregrosa
Guest Editors
Manuscript Submission Information
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Keywords
- nonlinear systems
- nonlinear matrix equations
- transcendent equations
- iterative algorithms
- convergence
- efficiency
- chaotic behavior
- complex or real dynamics
- fractional nonlinear analysis
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