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Regional digital finance and corporate investment efficiency in China

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Randomized linear programming solves the Markov decision problem in nearly linear (sometimes sublinear) time

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Stabilization of stochastic iterative methods for singular and nearly singular linear systems

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Optimizing a portfolio of mean-reverting assets with transaction costs via a feedforward neural network

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Learning Markov models via low-rank optimization

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Shrinking the upper confidence bound : a dynamic product selection problem for urban warehouses

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Shrinking the Upper Confidence Bound : A Dynamic Product Selection Problem for Urban Warehouses

Jin, Rong - 2019

The recent rising popularity of ultra-fast delivery services on retail platforms fuels the increasing use of urban warehouses, whose proximity to customers makes fast deliveries viable. The space limit in urban warehouses poses a problem for the online retailers: the number of products (SKUs)...

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Can bike-sharing availability improve tourist satisfaction? : evidence in Chicago

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Spatial pattern and micro-location rules of tourism businesses in historic towns : a case study of Pingyao, China

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