We propose an unconstrained stochastic approximation method of finding the optimal measure change (in an a priori parametric family) for Monte Carlo simulations. We consider different parametric families based on the Girsanov theorem and the Esscher transform (or exponentialtilting). In a multidimensional Gaussian framework, Arouna uses a projected Robbins-Monro procedure to select the paramete...

suppose $pi:mathcal{a}rightarrow mathcal{b}$ is a surjective unital $ast$-homomorphism between c*-algebras $mathcal{a}$ and $mathcal{b}$, and $0leq aleq1$ with $ain  mathcal{a}$. we give a sufficient condition that ensures there is a proection $pin mathcal{a}$ such that $pi left( pright) =pi left( aright) $. an easy consequence is a result of [l. g. brown and g. k. pedersen, c*-algebras of real...

This comparison paper scrutinizes image compression using Block Truncation Coding. Many algorithms were selected likely the original Block Truncation coding, Absolute Moment Block Truncation Coding, a comparison survey was executed. These above techniques are divided image into non overlapping blocks. They distinguish in the direction of choosing the quantization level in order to remove redund...

Hamiltonian truncation is a non-perturbative numerical method for calculating observables of quantum field theory. The starting point this to truncate the interacting finite-dimensional space states spanned by eigenvectors free $H_0$ with eigenvalues below some energy cutoff $E_\text{max}$. In work, we show how treat systematically using effective theory methodology. We define integrating out a...

Deviations from the center within a robust neighborhood may naturally be considered an innnite dimensional nuisance parameter. Thus, in principle, the semiparametric method may be tried, which is to compute the scores function for the main parameter minus its orthogonal projection on the closed linear tangent space for the nuisance parameter, and then rescale for Fisher consistency. We derive s...