This paper considers fluid analogues for the standard linear programming problem and for a separable nonlinear programming problem. In the former case the usual duality results are demonstrated using ...

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...

Management Science, Vol. 37, No. 8 (Aug., 1991), pp. 909-925 (17 pages) This paper is concerned with the general dynamic lot size model, or (generalized) Wagner-Whitin model. Let n denote the number ...

AI could learn to form digital cartels in an effort to maximize profits Algorithms now determine how much things cost. It’s called dynamic pricing and it adjusts according to current market conditions ...

Quanquan Liu, a postdoctoral scholar in the Northwestern CS Theory Group mentored by Northwestern Engineering’s Samir Khuller, won Best Paper Award at the 34th Association for Computing Machinery (ACM ...

Dynamic pricing employs machine learning and artificial intelligence to identify when the cost of goods and services should go up or down. The price you pay for certain things can change due to many ...