EconPapers    
Economics at your fingertips  
 

Solving Molecular Distance Geometry Problems Using a Continuous Optimization Approach

Rodrigo S. Lima () and J. M. Martínez ()
Additional contact information
Rodrigo S. Lima: Federal University of Itajubá, Department of Mathematics and Computation, ICE-UNIFEI
J. M. Martínez: University of Campinas, Department of Applied Mathematics, IMECC-UNICAMP

Chapter Chapter 12 in Distance Geometry, 2013, pp 213-224 from Springer

Abstract: Abstract The molecular distance geometry problem consists in finding the positions in $${\mathbb{R}}^{3}$$ of atoms of a molecule, given some inter-atomic distances. In this work we formulate this problem as a nonlinear optimization problem and solve some instances using a continuous optimization routine. For each proposed experiment, we compare the numerical solution obtained with the true structure. This comparison is performed by solving a Procrustes problem.

Keywords: Molecular distances; Nonlinear programming; Numerical experiments (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5128-0_12

Ordering information: This item can be ordered from
http://www.springer.com/9781461451280

DOI: 10.1007/978-1-4614-5128-0_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-12
Handle: RePEc:spr:sprchp:978-1-4614-5128-0_12