In this paper, we present improved learning-augmented algorithms for the multi-option ski
rental problem. Learning-augmented algorithms take ML predictions as an added part of the …

In this paper, we exploit linear programming duality in the online setting, where input arrives
on the fly, from the unique perspective of designing lower bounds (ie, hardness results) on …

In digital health, the strategy of allocating a limited treatment budget across available risk
times is crucial to reduce user fatigue. This strategy, however, encounters a significant …

The financial lease is an important financing tool by which the lessee can acquire ownership
of equipment upon the expiration of the lease after making a series of rent payments for the …

The leasing activities of enterprises are of positive significance for promoting a green and
low-carbon economy. For scarce resources that can easily go into tight supply states due to …

There are two options for the leasing problem, buying at a high price or leasing at a low
price. Once you choose to purchase the resources, you lose the opportunity to invest in other …

This paper addresses the online parallel machine scheduling problem with machine leasing
discount. Rental cost discount is a common phenomenon in the sharing manufacturing …

In this paper, we study a two-level ski-rental problem. There are multiple commodities, each
one can be “rented”(paying for on-demand usage) or “purchased”(paying for life-time …

Price fluctuation is a common phenomenon in the leasing industry. This paper studies the
online leasing problem in which the lessee does not know how long he will use the required …

With the booming development of sharing economy, decision makers must consider the
effect when making decisions with uncertain demands. In the leasing problem, people are …