Classification of multipartite states aims to obtain a set operationally useful and finite entanglement classes under the action either local unitary (LU) or stochastic operation classical communication (SLOCC). In this work, we propose computationally simple approach find these by using higher order singular value decomposition (HOSVD) concurrency three lines. Since HOSVD simultaneously diagon...

The molecular pharmacology of inhalational anesthetics remains poorly understood. Despite accumulating evidence suggesting that neuronal membrane proteins are potential targets of inhaled anesthetics, most currently favored membrane protein targets lack any direct evidence for anesthetic binding. We report herein the location of the binding site for the inhaled anesthetic halothane at the amino...

A new approach for obtaining interacting quantum atoms-defined components of binding energy intermolecular interactions, which bypasses the use standard six-dimensional integrals and two-particle reduced density matrix (2-RDM) reconstruction, is proposed. To examine this approach, three datasets calculated within functional theory framework using def2-TZVP basis have been explored. The first tw...

This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural images taken by CCD cameras. The model is a hierarchical multi-layered network, which consists of a contrast-extracting layer, edgeextracting layers (simple and complex types), and layers extracting symmetry axes. Its archi...

This paper attempts a normative assessment of the input and output-oriented legitimacy of the present euro-rescuing regime on the basis of policy analyses examining the causes of present crises, the available policy options, and the impact of the policies actually chosen. Concluding that the regime lacks input-oriented legitimacy and that its claim to output-oriented legitimacy is ambivalent at...

In this paper we propose a method for applications oriented input design for linear systems under time-domain constraints on the amplitude of input and output signals. The method guarantees a desired control performance for the estimated model in minimum time, by imposing some lower bound on the information matrix. The problem is formulated as a timedomain optimization problem, which is non-con...

is thesis is divided into two main parts. e first part considers applicationoriented input design, specifically for model predictive control (MPC). e second part considers alternating direction method of multipliers (ADMM) for l1 regularized optimization problems and primal-dual interior-point methods. e theory of system identification provides methods for estimating models of dynamical sys...