Special Issue on Applied Numerical Analysis
Applied Numerical Analysis focuses on
developing and implementing numerical algorithms to solve mathematical problems
in various fields such as engineering, physics, economics, and computer science.
It aims to provide efficient and accurate approximate solutions to mathematical
models that may involve complex equations or large datasets, where exact
solutions may not be easily obtainable. The goal of this special issue is to
provide a platform for scientists and academicians all over the world to
promote, share, and discuss various new issues and developments in the area of
numerical analysis.
In this
special issue, we intend to invite front-line researchers and authors to submit
original research and review articles on exploring Applied
Numerical Analysis. Potential topics include, but are not limited
to:
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Boundary value problems
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Numerical methods
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Numerical algorithms
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Monte Carlo simulation
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Mathematical modeling
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Finite difference method
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Finite element method
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Numerical linear algebra
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Numerical optimization
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Numerical differential/integral equations
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Computational mathematics
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Computational physics
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Computational engineering
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Numerical simulation
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Numerical analysis (PDEs,ODEs,integral
equations,stochastic models)
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Numerical approximation
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Numerical methods for nonlinear problems
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Numerical methods for inverse problems
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Numerical methods for optimization problems
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Numerical methods for signal processing
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Numerical methods for machine learning
Authors
should read over the journal’s For Authors carefully before submission. Prospective
authors should submit an electronic copy of their complete manuscript through
the journal’s Paper Submission System.
Please
kindly specify the “Special Issue” under your manuscript title. The
research field “Special Issue - Applied Numerical Analysis” should
be selected during your submission.
Special Issue Timetable:
Submission Deadline
|
April 25th, 2024
|
Publication Date
|
June 2024
|
Guest
Editor:
For further questions or inquiries, please
contact Editorial Assistant at am@scirp.org.