We introduce the notion of multiscale covariance tensor fields associated with a probability measure on Euclidean space and use these fields to define local
In this talk we explore a class of matrix-valued kernels that induce Riemannian translation-and rotation-invariant metrics on the group of diffeomorphisms.
Traditionally,a Cylindrical Algebraic Decomposition(CAD)was sign-,or order-,invariant for the polynomials,meaning it could answer ALL questions about those
In this talk,a new triangular decomposition algorithm will be presented for ordinary differential polynomial systems,which has triple exponential computatio
By applying an amended Fourier-Motzkin elimination method to a linear semi-infinite inequality system,we obtain a reduced primal-dual pair of a linear semi-
A cellular automata model and clustering analysis were used in order to investigate habitat manipulation as a strategy to regulate natural population densit