Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Sheldon H. Jacobson"'
Publikováno v:
SAGE Open, Vol 5 (2015)
This article presents a data-driven Bayesian model used to predict the state-by-state winners in the Senate and presidential elections in 2012 and 2014. The Bayesian model takes into account the proportions of polled subjects who favor each candidate
Externí odkaz:
https://doaj.org/article/2ea99ee3988b4d9e9ae057772bd3a21f
Publikováno v:
Computational Optimization and Applications. 85:369-407
Publikováno v:
Operations Research. 71:536-562
Gerrymandering has been a fundamental issue in American democracy for more than two centuries, with significant implications for electoral representation. Traditional optimization models for political districting primarily model nonpolitical fairness
Publikováno v:
Health Care Management Science. 25:515-520
Publikováno v:
IISE Transactions. 55:22-31
Publikováno v:
INFORMS Journal on Computing. 34:974-989
This paper presents a new bidirectional search algorithm to solve the shortest path problem. The new algorithm uses an iterative deepening technique with a consistent heuristic to improve lower bounds on path costs. The new algorithm contains a novel
Autor:
Meghan Shanks, Sheldon H. Jacobson
Publikováno v:
Optimization Letters. 16:1411-1426
Publikováno v:
Computational Optimization and Applications. 80:377-409
This paper presents two new bidirectional heuristic search algorithms for solving the shortest path problem on graphs: consistent-heuristic bucket-based bidirectional search (CBBS) and front-to-front GPU bidirectional search (FFGBS). CBBS uses a cons
Publikováno v:
INFORMS Journal on Computing. 33:1091-1102
In this paper, we discuss the one-machine scheduling problem with release and delivery times with the minimum makespan objective. Both heuristics and branch-and-bound algorithms have been formulated for the problem. One such branch-and-bound algorith
Autor:
Janet A. Jokela, Sheldon H. Jacobson
Publikováno v:
Health Care Management Science
COVID-19 has disrupted society and health care systems, creating a fertile environment for deaths beyond the virus. The year 2020 will prove to be the most deadly year on record in the United States. Direct deaths due to COVID-19 have been well docum