Mathematical Approximation and Integration

Mathematical Approximation and Integration is a research topic within Numerical Analysis. Science Explorer counts 10k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on high-dimensional integration techniques, particularly emphasizing the use of Quasi-Monte Carlo methods, lattice rules, and randomized approaches for multivariate approximation. The research also delves into applications in spherical crystals, discrepancy minimization, and the tractability of numerical integration in weighted spaces.

• Quasi-Monte Carlo
• High-dimensional Integration
• Lattice Rules
• Multivariate Approximation
• Randomized Methods
• Spherical Crystals
• Discrepancy Minimization
• Tractability
• Weighted Spaces
• Numerical Integration