OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

This paper is devoted to a detailed experimentally based analysis of applicability vector network analyzers for measuring impedance surface mount inductors with and without DC bias. The measurements are made using custom-made bias tees test fixture an ordinary analyzer. main attention in the focused on measurement accuracy inductors. Measurement results obtained analyzer will also be compared t...

This paper presents an alternative approach for improving the stationary fine self-alignment of strapdown inertial navigation systems (SINS). This approach is based on an expansion on the measurement vector of the linearised augmented state Kalman filter, which allows us to estimate the observable uncompensated inertial sensor biases more quickly and more accurately, contributing, thus, to incr...

We consider batch size selection for a general class of multivariate means variance estimators, which are computationally viable high-dimensional Markov chain Monte Carlo simulations. derive the asymptotic mean squared error this estimators. Further, we propose parametric technique estimating optimal sizes and discuss practical issues regarding process. Vector auto-regressive, Bayesian logistic...

This article investigates the relationship between the exchange rate and non-oil trade balance in Iran between 1981 and 2014. A structural vector auto-regression model is built. The results indicated that the increasing effect of the real effective exchange rate worsens the non-oil trade balance in the short term. In contrast, the increasing effect of the real effective exchange rate improves t...

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...