<p>According to the principle of general covariance, laws physics are same in all reference frames. The controversial theory Varying Speed Light (VSL) contradicts covariance. Fortunately VLS explains some crucial issues cosmology such as Lorentz variance, biometric theories, locally cosmological constant problem, horizon<em> </em>and flatness<em> </em>problems. Als...

In this paper, a relaxed variable metric primal-dual fixed-point algorithm is proposed for solving the convex optimization problem involving sum of two functions where one differentiable with Lipschitz continuous gradient while other composed linear operator. Based on preconditioned forward–backward splitting algorithm, convergence proved. At same time, we show that some existing algorithms are...

PURPOSE Rapid reconstruction of undersampled multicoil MRI data with iterative constrained reconstruction method is a challenge. The authors sought to develop a new substitution based variable splitting algorithm for faster reconstruction of multicoil cardiac perfusion MRI data. METHODS The new method, split Bregman multicoil accelerated reconstruction technique (SMART), uses a combination of...

This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...

Based on a set of case studies in eight European countries a method of software evaluation has been designed within ESPRIT Project SCOPE (Software evaluation and certification programme Europe). This method deals with several types of information: software characteristics and metrics, product and process information, and evaluation techniques. In order to be applicable the method is supported b...

A new criterion is introduced for comparing the convergence properties of variable metric algorithms, focusing on stepwise descent properties. This criterion is a bound on the rate of decrease in the function value at each iterative step (single-step convergence rate). Using this criterion as a basis for algorithm development leads to the introduction of variable coefficients to rescale the obj...

Attribute reduction is a combinational optimization problem in data mining domain that aims to find a minimal subset from a large set of attributes. The typical high dimensionality of datasets precludes the use of greedy methods to find reducts because of its poor adaptability, and requires the use of stochastic methods. Variable Neighborhood Search (VNS) is a recent metaheuristic and have been...

In this paper we have combined fundamental analysis and contingent claim analysis into a hybrid model of credit risk measurement. We have extended the standard Merton approach to estimate a new risk neutral distance to default metric, assuming a more complex capital structure, adjusting for dividend payments, introducing randomness to the default point and allowing a fractional recovery when de...