Modélisation mathématique de la population des villes

  • Артур Голіков
Keywords: ville, la population, le modèle, l'équation, des perspectives,

Abstract

Modélisation mathématique de la population des villes. La possibilité d'utiliser un modèle mathématique empirique permettant de prédire la taille de la population de la population urbaine du pays est xaminée. La taille de la population sur la croissance des villes, qui représentent des centres commerciaux, permet la planification de la production, la demande et la consommation des biens et services.

Downloads

Download data is not yet available.

References

Голіков А. П. Економіко-математичне моделювання світогосподарських процесів. : навч. посіб. / А. П. Голіков. – 3-тє вид. – К. : Знання, 2009. – 222 с.

Изард. У. Методы регионального анализа / У. Изард. – М.: Изд.-во «Прогресс», 1966. – 659 с.

Города Польши [Электронный ресурс]. – Режим доступа : http: ru.wikipedia.org/wiki/Города_Польши.
Cited
How to Cite
Голіков, А. (1). Modélisation mathématique de la population des villes. The Journal of V. N. Karazin Kharkiv National University. Series: International Relations. Economics. Country Studies. Tourism, (4 (1144, 2), 97-100. Retrieved from https://periodicals.karazin.ua/irtb/article/view/4512
Issue
No. 4 (1144, 2 (2014): The Journal of V.N. Karazin Kharkiv National University Series "International Relations. Economics. Country Studies. Tourism"
Section
Economy

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication of this work under the terms of a license Creative Commons Attribution License 4.0 International (CC BY 4.0).
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.