In this paper, we propose an algorithm base on decomposition technique for solvingthe mixed integer linear multiplicative-linear bilevel problems. In actuality, this al-gorithm is an application of the algorithm given by G. K. Saharidis et al for casethat the rst level objective function is linear multiplicative. We use properties ofquasi-concave of bilevel programming problems and decompose th...

Unconstructive conflict resolution and couple burnout have a negative impact on quality of marital life. Brief self-regulation couple therapy is one of the effective approaches in transmission teachings and marital skills to couples. The aim of the current research was to investigate the effect of brief self-regulation couple therapy in conflict resolution and couple burnout among troubled coup...

Deep learning has been used in inverse synthetic aperture radar (ISAR) imaging to improve resolution performance, but there still exist some problems: the loss of weak scattering points, over-smoothed results, and universality generalization. To address these problems, an ISAR enhancement method exploiting a generative adversarial network (GAN) is proposed this paper. We adopt relativistic aver...

Automatic Resolution Control for the Finite Volume Method (FVM) shows signs of rapid development in recent years. The objective of the procedure is to obtain a numerical solution of prescribed accuracy with minimum eeort in terms of time and computational resources. It consists of two parts: an a-posteriori error estimate and an appropriate modii-cation of the spatial and temporal discretisatio...

In this paper I extend the standard first-order resolution method with special reasoning mechanisms for sorts. Sorts are unary predicates. Literals built from unary predicates are called sort literals. Negative sort literals can be compiled into restrictions of the relevant variables to sorts or can be deleted if they fulfill special conditions. Positive sort literals define the sort-theory. So...

Multi-resolution and region-growing strategies have been successfully used in several fields of image processing. In this paper we investigate how these two strategies can be applied for binary tomography. We included these strategies into a reconstruction method using simulated annealing and tested these new methods on different images.