Online Algorithms for Resource Allocation and Matching Problems Publication Trend The graph below shows the total number of publications each year in Online Algorithms for Resource Allocation and ...

The algorithm can solve resource allocation problems with strongly convex cost functions and weight-balanced digraphs, as well as resource allocation problems with strictly convex cost functions and ...

In the contemporary world, Srinivasan Pakkirisamy, a financial systems innovation thought leader, offers a compelling ...

The innovations described by Hari Suresh Babu Gummadi signal not just technological upgrades but a fundamental shift in how supply chains operate moving from reactive systems to predictive, adaptive, ...

What do Sudoku, AI, Rubik’s cubes, clocks and molecules have in common? They can all be reimagined as algebraic equations.

Range defines Modern Portfolio Theory, the mathematical framework of investment decision-making that quantifies the ...

A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with acute GI bleeding.

To address this issue, in this paper, we propose a novel fair and efficient resource allocation algorithm, which aims to maximize the execution efficiency of rendering service applications while ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

In this video, Craig Gordon, MD, nephrologist at Tufts Medical Center and associate professor of medicine at Tufts University School of Medicine, discusses an algorithm to determine approaches to ...