Lattice enumeration via linear programming
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Publication:6191365
DOI10.1007/s00211-023-01376-6OpenAlexW4389554043MaRDI QIDQ6191365
Publication date: 9 February 2024
Published in: Numerische Mathematik (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00211-023-01376-6
Lattices and convex bodies in (n) dimensions (aspects of discrete geometry) (52C07) Linear programming (90C05) Approximate quadratures (41A55) Numerical quadrature and cubature formulas (65D32)
Cites Work
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- Lattice-based integration algorithms: Kronecker sequences and rank-1 lattices
- Cubature formulas, discrepancy, and nonlinear approximation
- Interior-point methods
- On the orthogonality of the Chebyshev-Frolov lattice and applications
- Numerical performance of optimized Frolov lattices in tensor product reproducing kernel Sobolev spaces
- On generation and enumeration of orthogonal Chebyshev-Frolov lattices
- Enumeration of the Chebyshev-Frolov lattice points in axis-parallel boxes
- Change of variable in spaces of mixed smoothness and numerical integration of multivariate functions on the unit cube
- The Role of Frolov's Cubature Formula for Functions with Bounded Mixed Derivative
- CVXPY: A Python-Embedded Modeling Language for Convex Optimization
- Introduction to Uncertainty Quantification
- On “Upper Error Bounds for Quadrature Formulas on Function Classes” by K.K. Frolov
- Sparse grids
- Convex and Discrete Geometry
- High-dimensional integration: The quasi-Monte Carlo way
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