For supervised classification tasks that involve a large number of instances, we propose and
study a new efficient tool, namely the Local-to-Global Support Vector Machine (LGSVM) …

This paper proposes a new approach to generating space-filling designs over Riemannian
manifolds by using a Hilbert curve. Different from ordinary Euclidean spaces, a novel …

We consider bandwidth matrix selection for kernel density estimators of density level sets in
R^d, d≥2. We also consider estimation of highest density regions, which differs from …

Given a graph G=(V, E) G=(V, E), suppose we are interested in selecting a sequence of
vertices (x_j) _ j= 1^ n (xj) j= 1 n such that\left {x_1,\dots, x_k\right\} x 1,⋯, xk is 'well …

In this paper, we propose a new randomized method for numerical integration on a compact
complex manifold with respect to a continuous volume form. Taking for quadrature nodes a …

Tchakaloff-like compression of QMC volume and surface integration on the union of balls |
Calcolo Skip to main content SpringerLink Account Menu Find a journal Publish with us Track …

This paper introduces several ideas of emergent gravity, which come from a system similar
to an ensemble of quantum spin-$\tfrac {1}{2} $ particles. To derive a physically relevant …

The plastic collapse limit and the shakedown limit are important limit states in modern
ultimate limit state design. Due to the high expenses of experimental setups and the time …

An improved version of Compressed Quasi-MonteCarlo cubature (CQMC) on large low-
discrepancy samples is implemented, on 2D and 3D regions with complex shape. The …

We construct measure-preserving mappings from the $ d $-dimensional unit cube to the $ d
$-dimensional unit ball and the compact rank one symmetric spaces, namely the $ d …