Results 31 to 40 of about 672 (82)

A parallel Heap-Cell Method for Eikonal equations [PDF]

open access: yes, 2014
Numerous applications of Eikonal equations prompted the development of many efficient numerical algorithms. The Heap-Cell Method (HCM) is a recent serial two-scale technique that has been shown to have advantages over other serial state-of-the-art ...
Chacon, Adam, Vladimirsky, Alexander
core  

A natural adaptive process for collective decision‐making

open access: yesTheoretical Economics, Volume 19, Issue 2, Page 667-703, May 2024.
Consider an urn filled with balls, each labeled with one of several possible collective decisions. Now let a random voter draw two balls from the urn and pick her more preferred as the collective decision. Relabel the losing ball with the collective decision, put both balls back into the urn, and repeat.
Florian Brandl, Felix Brandt
wiley   +1 more source

The Critical Radius in Sampling-based Motion Planning

open access: yes, 2018
We develop a new analysis of sampling-based motion planning in Euclidean space with uniform random sampling, which significantly improves upon the celebrated result of Karaman and Frazzoli (2011) and subsequent work.
Kleinbort, Michal, Solovey, Kiril
core   +1 more source

Control strategy for biopharmaceutical production by model predictive control

open access: yesBiotechnology Progress, Volume 40, Issue 2, March/April 2024.
Abstract The biopharmaceutical industry is rapidly advancing, driven by the need for cutting‐edge technologies to meet the growing demand for life‐saving treatments. In this context, Model Predictive Control (MPC) has emerged as a promising solution to address the complexity of modern biopharmaceutical production processes.
Touraj Eslami, Alois Jungbauer
wiley   +1 more source

A Deterministic Approach to Approximation Modelling [PDF]

open access: yes, 1989
In this paper we will describe a deterministic approach to time series analysis. The central problem consists of approximate modelling of an observed time series by means of a deterministic dynamical system.
Heij, C., Willems, J.C.
core  

Hiding the elephant: The tragedy of COVID policy and its economist apologists

open access: yesAustralian Economic Papers, Volume 63, Issue 1, Page 106-144, March 2024.
Abstract In 2020 and 2021, the world witnessed policies that caused enormous net damage to most countries. We demonstrate the usefulness of the new WELLBY currency in gauging the costs and benefits of COVID policies and review the contributions of Australian economists to the scholarly and public debates about these policies. Our analysis documents the
Gigi Foster, Paul Frijters
wiley   +1 more source

A granular iterated local search for the asymmetric single truck and trailer routing problem with satellite depots at DHL Group

open access: yesNetworks, Volume 83, Issue 1, Page 3-29, January 2024.
Abstract To plan the postal deliveries of our industry partner DHL Group (DHL), the single truck and trailer routing problem with satellite depots (STTRPSD) is solved to optimize mail carriers routes. In this application context, instances feature a high number of customers and satellites, and they are based on real street networks.
Rossana Cavagnini   +2 more
wiley   +1 more source

A Review of Stochastic Optimization Algorithms Applied in Food Engineering

open access: yesInternational Journal of Chemical Engineering, Volume 2024, Issue 1, 2024.
Mathematical models that represent food processing operations are characterized by the nonlinearity of their dynamic behavior with possible discrete events, the existence of several variables of interest that are usually distributed in space, and the presence of nonlinear constraints.
Laís Koop   +5 more
wiley   +1 more source

Clustering words

open access: yes, 2012
We characterize words which cluster under the Burrows-Wheeler transform as those words $w$ such that $ww$ occurs in a trajectory of an interval exchange transformation, and build examples of clustering ...
Ferenczi, Sébastien, Zamboni, Luca Q.
core   +1 more source

Optimizing Traffic at Intersections With Deep Reinforcement Learning

open access: yesJournal of Engineering, Volume 2024, Issue 1, 2024.
Background: The purpose of this work is to develop a method of traffic optimization at intersections using deep reinforcement learning (DRL) by creating models for controlling autonomous vehicles and traffic lights in a simulated environment. The practical value of the research is to compare the performance of existing algorithms at both traffic light ...
Nataliya Boyko   +2 more
wiley   +1 more source

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