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Trust Region Minimization of Orbital Localization Functions
Ida-Marie Høyvik1, Branislav Jansik1, Poul Jørgensen1
1qLEAP, Dept. of Chemistry, Aarhus University , Langelandsgade 140, DK-8000 Aarhus, Denmark.
Journal of Chemical Theory and Computation
|November 26, 2015
Summary
The trust region method efficiently minimizes localization functions, yielding localized occupied and virtual Hartree-Fock orbitals. Modified step size determination enables robust convergence for large molecular systems.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Electronic Structure Theory
Background:
- The minimization of localization functions is crucial for obtaining interpretable molecular orbitals.
- The standard trust region method can require small step sizes, hindering efficiency for large systems.
- Hartree-Fock (HF) orbitals provide a fundamental description of electronic structure.
Purpose of the Study:
- To adapt the trust region method for efficient minimization of localization functions.
- To enable the calculation of both local occupied and local virtual Hartree-Fock orbitals.
- To improve the robustness and convergence of the method for large molecular systems.
Main Methods:
- Application of the trust region method to localization function minimization.
- Modification of the trust radius update scheme for exponential parametrization.
- Integration of a line search along a conservatively estimated step direction.
Main Results:
- Successful acquisition of local occupied and local virtual Hartree-Fock orbitals.
- Demonstration that large steps can be safely taken in the modified trust region method.
- Achievement of robust and nearly monotonic convergence for large molecular systems.
Conclusions:
- The adapted trust region method provides an efficient and robust approach for orbital localization.
- The modified step size strategy overcomes limitations of the standard trust region method for large systems.
- This method facilitates the generation of localized orbitals essential for chemical interpretation.
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