Citation
A Graphical Algorithm for Solving an Investment Optimization Problem. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 290-299, 2013.
Paper
Abstract
In this paper, a graphical algorithm (GrA) is presented for an investment optimization problem. This algorithm is based on the same Bellman equations as the best known dynamic programming algorithm (DPA) for the problem but the GrA has several advantages in comparison with the DPA. Based on this GrA, a fully-polynomial time approximation scheme is proposed having the best known running time. The idea of the GrA presented can also be used to solve some similar scheduling or lot-sizing problems in a more e?ective way.
You can download the pdf of this publication from here
doi
This publication does not have a doi, so we cannot provide a link to the original source
What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information
URL
This pubication does not have a URL associated with it.
The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.
Bibtex
@INPROCEEDINGS{2013-290-299-P, author = { E.R. Gafarov and A. Dolgui and A. A. Lazarev and F. Werner},
title = {A Graphical Algorithm for Solving an Investment Optimization Problem},
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {290--299},
note = {Paper},
abstract = { In this paper, a graphical algorithm (GrA) is presented for an investment optimization problem. This algorithm is based on the same Bellman equations as the best known dynamic programming algorithm (DPA) for the problem but the GrA has several advantages in comparison with the DPA. Based on this GrA, a fully-polynomial time approximation scheme is proposed having the best known running time. The idea of the GrA presented can also be used to solve some similar scheduling or lot-sizing problems in a more e?ective way.},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-290-299-P.pdf} }