Special Issue on
Numerical Methods and Mathematical Modeling
Numerical Methods and Mathematical Modeling addresses
the development and application of computational techniques for formulating,
analyzing, and solving mathematical problems arising in science, engineering,
economics, and other quantitative disciplines. The topic includes numerical
algorithms for differential equations, linear and nonlinear systems,
optimization, approximation, interpolation, numerical integration, and
computational simulation, together with mathematical models for describing
complex physical, biological, industrial, and social phenomena. It provides
practical frameworks for transforming theoretical formulations into reliable
computational solutions, with emphasis on accuracy, stability, efficiency,
validation, and the interpretation of numerical results.
In this
special issue, we intend to invite front-line researchers and authors to submit
original research and review articles on exploring Numerical
Methods and Mathematical Modeling. Potential topics include, but are not limited
to:
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Numerical analysis
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Numerical linear algebra
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Differential equations
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Partial differential equations
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Numerical optimization
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Approximation theory
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Interpolation methods
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Numerical integration
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Computational geometry
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Mathematical modeling
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Computational simulation
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Finite element methods
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Finite difference methods
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Finite volume methods
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Nonlinear numerical methods
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Uncertainty quantification
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 - Numerical Methods and Mathematical Modeling”
should be selected during your submission.
Special Issue Timetable:
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Submission Deadline
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January 15th, 2027
|
|
Publication Date
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March 2027
|
Guest
Editor:
For
further questions or inquiries, please contact Editorial Assistant at
[email protected]