A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm-Reference-Cited by-同舟云学术

A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm

Published:2020-11-23 Issue:5 Volume:35 Page:999-1031
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Suppakitpaisarn Vorapong¹^ORCID,Ariyarit Atthaphon²^ORCID,Chaidee Supanut³⁴^ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. School of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

3. Advanced Research Center for Computational Simulation, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand

4. Centre of Excellence in Mathematics, CHE, Bangkok, Thailand

Funder

Centre of Excellence in Mathematics, The Commission on Higher Education, Thailand

Chiang Mai University, Thailand

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1841203

Reference38 articles.

1. Voronoi-based region approximation for geographical information retrieval with gazetteers

2. Capacity-Constrained Voronoi Diagrams in Continuous Spaces

3. Bannister, M.J. et al. 2012. Force-directed graph drawing using social gravity and scaling. 20th International Symposium, GD 2012, 19–21 September 2012. Redmond, WA, USA.

4. Two-Point Step Size Gradient Methods

5. Improved Approximation Algorithms for Box Contact Representations

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