absolute deviation, 15, 29 absolute deviation robust schedule, 27 Absolute Deviation Robust Scheduling Problem, 13, 17, 27 absolute robust single-machine sequence, 16 activity duration, 145, 151 activity network, 143, 146, 154 activity-on-arc network, 143, 149–151 activity-on-node network, 144, 148 agile, 8 agility, 1 almost surely smallest sequence, 8 analytical expression, 94 approximation al...

In this paper, the high-dimensional sparse linear regression model is considered, where the overall number of variables is larger than the number of observations. We investigate the L1 penalized least absolute deviation method. Different from most of other methods, the L1 penalized LAD method does not need any knowledge of standard deviation of the noises or any moment assumptions of the noises...

Orthogonal least trimmed absolute deviation (OLTAD) estimator of the multiple linear errors-in-variables (EIV) model is presented. We show that the OLTAD estimator has the high breakdown point and appropriate properties. A new decimal-integer-coded genetic algorithm(DICGA) and Fast-OLTAD method for solving OLTAD estimators are also proposed. Computational experiments of the OLTAD estimator of t...

In this paper, the high-dimensional sparse linear regression model is considered, where the overall number of variables is larger than the number of observations. We investigate the L1 penalized least absolute deviation method. Different from most of other methods, the L1 penalized LAD method does not need any knowledge of standard deviation of the noises or any moment assumptions of the noises...