Results 31 to 40 of about 672 (82)
A parallel Heap-Cell Method for Eikonal equations [PDF]
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
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
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
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]
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
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
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
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
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
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

