Operational Research: methods and applications

F Petropoulos, G Laporte, E Aktas… - Journal of the …, 2024 - Taylor & Francis
Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

Frontiers in service science: Ride matching for peer-to-peer ride sharing: A review and future directions

A Tafreshian, N Masoud, Y Yin - Service Science, 2020 - pubsonline.informs.org
As a consequence of the sharing economy attaining more popularity, there has been a shift
toward shared-use mobility services in recent years, especially those that encourage users …

Maximum flow and minimum-cost flow in almost-linear time

L Chen, R Kyng, YP Liu, R Peng… - 2022 IEEE 63rd …, 2022 - ieeexplore.ieee.org
We give an algorithm that computes exact maximum flows and minimum-cost flows on
directed graphs with m edges and polynomially bounded integral demands, costs, and …

A deterministic almost-linear time algorithm for minimum-cost flow

J Van Den Brand, L Chen, R Kyng… - 2023 IEEE 64th …, 2023 - ieeexplore.ieee.org
We give a deterministic m^1+o(1) time algorithm that computes exact maximum flows and
minimum-cost flows on directed graphs with m edges and polynomially bounded integral …

Sinkhorn distances: Lightspeed computation of optimal transport

M Cuturi - Advances in neural information processing …, 2013 - proceedings.neurips.cc
Optimal transportation distances are a fundamental family of parameterized distances for
histograms in the probability simplex. Despite their appealing theoretical properties …

Minimum cost flows, MDPs, and ℓ1-regression in nearly linear time for dense instances

J Van Den Brand, YT Lee, YP Liu, T Saranurak… - Proceedings of the 53rd …, 2021 - dl.acm.org
In this paper we provide new randomized algorithms with improved runtimes for solving
linear programs with two-sided constraints. In the special case of the minimum cost flow …

Conditional gradient methods

G Braun, A Carderera, CW Combettes… - arxiv preprint arxiv …, 2022 - arxiv.org
The purpose of this survey is to serve both as a gentle introduction and a coherent overview
of state-of-the-art Frank--Wolfe algorithms, also called conditional gradient algorithms, for …

Path finding methods for linear programming: Solving linear programs in o (vrank) iterations and faster algorithms for maximum flow

YT Lee, A Sidford - 2014 IEEE 55th Annual Symposium on …, 2014 - ieeexplore.ieee.org
In this paper, we present a new algorithm for'/solving linear programs that requires only Õ
(√ rank (A) L) iterations where A is the constraint matrix of a linear program with m …

Resource-constrained project scheduling: Notation, classification, models, and methods

P Brucker, A Drexl, R Möhring, K Neumann… - European journal of …, 1999 - Elsevier
Project scheduling is concerned with single-item or small batch production where scarce
resources have to be allocated to dependent activities over time. Applications can be found …

Fast and robust earth mover's distances

O Pele, M Werman - 2009 IEEE 12th international conference …, 2009 - ieeexplore.ieee.org
We present a new algorithm for a robust family of Earth Mover's Distances-EMDs with
thresholded ground distances. The algorithm transforms the flow-network of the EMD so that …