the helicopter-borne electromagnetic (hem) frequency-domain exploration method is an airborne electromagnetic (aem) technique that is widely used for vast and rough areas for resistivity imaging. the vast amount of digitized data flowing from the hem method requires an efficient and accurate inversion algorithm. generally, the inverse modelling of hem data in the first step requires a precise a...

In this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. To approach this aim the analytical formulas of secant stiffness matrix are presented. The models were validated and used to perform inve...

in this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. to approach this aim the analytical formulas of secant stiffness matrix are presented. the models were validated and used to perform inve...

The helicopter-borne electromagnetic (HEM) frequency-domain exploration method is an airborne electromagnetic (AEM) technique that is widely used for vast and rough areas for resistivity imaging. The vast amount of digitized data flowing from the HEM method requires an efficient and accurate inversion algorithm. Generally, the inverse modelling of HEM data in the first step requires a precise a...

modeling areas exposed to oil pollution in the coastal city of bandar abbas using electre-i and ahp models 1-introduction persian gulf coasts, is considered if the beach oil - gas, fisheries, trading and residential. during the persian gulf coast of the role of communication and sea transportation due to the national and international trade, legal and illegal, from oil and gas activities and fi...

We characterize the first-order sensitivity of approximately recovering a low-rank matrix from linear measurements, standard problem in compressed sensing. A special case covered by our analysis is approximating an incomplete matrix. This one customary approach to build recommender systems. give algorithm for computing associated condition number and demonstrate experimentally how measurements ...