SimpleandFastAlgorithmforBinaryIntegerand OnlineLinearProgramming

Neural Information Processing Systems 

Our algorithm employsonecolumn forsubgradient descent ineach iteration, whereas thedual project subgradient algorithm requires the whole constraint matrix and conducts matrix multiplication in each iteration. In addition, a class of backpressure/max-weight algorithms [25] are developed in the control/queueing literature and the backpressure algorithm can be interpreted from a view of pressuregradient.