Advances in High-Dimensional Scientific Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E4: Mathematical Physics".
Deadline for manuscript submissions: 10 September 2026 | Viewed by 854
Special Issue Editor
Interests: cross-application research of geotechnical engineering based on scientific calculations; high-precision numerical calculation and numerical analysis; partial differential equation and its inversion calculation; data modeling and calculation; risk estimation and quantification
Special Issue Information
Dear Colleagues,
With the continuous advancement of computational capabilities, solving high-dimensional data and complex problems has become one of the key challenges in modern engineering and scientific research. This Special Issue aims to gather research on high-dimensional numerical computing, efficient solutions for partial differential equations, and large-scale data modeling and computation, exploring their innovative applications in geotechnical engineering. In particular, we will focus on how high-precision numerical computing and numerical analysis methods can address complex problems in geotechnical and structural engineering, such as simulating the mechanical behavior of geotechnical media, risk assessment, and uncertainty quantification.
Additionally, the Special Issue will highlight how high-dimensional computational techniques facilitate the effective solution of partial differential equations and their inverse calculations, providing more precise and efficient tools for engineering design and decision-making. By showcasing the latest research developments, this Special Issue aims to promote the broad application of high-dimensional scientific computing in geotechnical engineering, offering new perspectives for future research directions.
Prof. Dr. Xu Guo
Guest Editor
Manuscript Submission Information
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Keywords
- non-local
- peridynamics
- fractional order
- high-dimensional scientific computing
- numerical computation
- partial differential equations
- inverse computation
- geotechnical engineering
- risk assessment
- uncertainty quantification
- large-scale data modeling
- high-precision numerical analysis
- structural engineering
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