linear transport
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2022 ◽  
Vol 10 (1) ◽  
pp. 001-021
Author(s):  
Ngnassi Djami Aslain Brisco ◽  
Nzié Wolfgang ◽  
Doka Yamigno Serge

A Linear transport problem can be defined as the action of transporting products from "m origins" (or units) to "n destinations" (or customers) at the lowest cost. So the solution to a transportation problem is to organize the transportation in such a way as to minimize its cost. The objective of this paper is to determine the quantity sent from each source (origin) to each destination while minimizing transport costs. Achieving this objective requires a methodology which consists in deploying an algorithm whose purpose is the search for an optimal solution, based on an initial solution. The application is made on a factory producing mechanical parts.


2021 ◽  
Author(s):  
Rob Ament ◽  
Sandeep Kumar Tiwari ◽  
Melissa Butynski ◽  
Becky Shu Chen ◽  
Norris Dodd ◽  
...  

Asian elephants are endangered across their remaining home ranges in South and Southeast Asia. According to recent estimates, fewer than 52,000 individuals remain in the wild across 13 range states. Ongoing loss and fragmentation of habitat, increasingly caused by the development and operation of linear transport infrastructure (LTI) - such as roads, railways, and highways - is now exacerbating these threats. The Asian Elephant Transport Working Group (AsETWG) began collaboration in early 2019 to focus its efforts on developing solutions for conserving core habitats and decreasing mortality and barriers to Asian elephant movement. This publication marks a first milestone in AsETWG's work. It highlights the impacts that LTI has on Asian elephants and their habitats, addresses existing frameworks for reducing elephant-transport conflicts, provides seven case studies and a focus on emerging technologies, and makes general recommendations for inspiring urgent and practical actions.


2021 ◽  
pp. 110859
Author(s):  
Pierre Anguill ◽  
Patricia Cargo ◽  
Cedric Énaux ◽  
Philippe Hoch ◽  
Emmanuel Labourasse ◽  
...  

2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Fabian Laakmann ◽  
Philipp Petersen

AbstractWe demonstrate that deep neural networks with the ReLU activation function can efficiently approximate the solutions of various types of parametric linear transport equations. For non-smooth initial conditions, the solutions of these PDEs are high-dimensional and non-smooth. Therefore, approximation of these functions suffers from a curse of dimension. We demonstrate that through their inherent compositionality deep neural networks can resolve the characteristic flow underlying the transport equations and thereby allow approximation rates independent of the parameter dimension.


Author(s):  
A.A. Neretin ◽  
◽  
I.I. Pozniak ◽  
◽  

The article examines the operation of the total station in non-refiective mode, the change in the geometry of the laser spot at different angles of deviation of the telescope from the shooting perpendicular. The studies helped to determine the maximum distance from the total station to the observed points, the permissible angle of the beam direction, and to calculate the optimal distance between neighboring stations when examining linear objects.


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