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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

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Published on: August 30, 2013

Computation of determinant expansion coefficients within the graphically contracted function method.

Gergely Gidofalvi1, Ron Shepard

  • 1Chemical Sciences and Engineering Division, Argonne National Laboratory, Argonne, Illinois 60439, USA.

Journal of Computational Chemistry
|April 11, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient algorithm for calculating electronic structure coefficients in large systems. The new method scales polynomially, overcoming the limitations of traditional exponential scaling methods for complex molecular simulations.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Electronic Structure Theory

Background:

  • Electronic structure methods commonly use Slater determinants or configuration state functions to represent wavefunctions.
  • Traditional algorithms for computing expansion coefficients are computationally intensive and impractical for large systems.
  • Existing methods face challenges with scalability due to exponential scaling with the number of electrons and orbitals.

Purpose of the Study:

  • To develop an efficient algorithm for evaluating single determinant expansion coefficients.
  • To enable accurate electronic structure calculations for very large molecular systems.
  • To overcome the scalability limitations of traditional configuration interaction methods.

Main Methods:

  • The study presents an algorithm for evaluating determinant coefficients using wavefunctions expanded as linear combinations of graphically contracted functions.
  • Graphically contracted functions utilize variational parameters called arc factors, simplifying coefficient calculations.
  • The algorithm employs a two-level recursive approach for efficient computation.

Main Results:

  • The new algorithm computes determinant expansion coefficients recursively and more efficiently than traditional methods.
  • The computational cost scales polynomially with system size, a significant improvement over exponential scaling.
  • Successful application to systems with hundreds of electrons and orbitals demonstrates its effectiveness for large-scale problems.

Conclusions:

  • The developed algorithm provides a computationally tractable approach for electronic structure calculations in large systems.
  • This method significantly enhances the applicability of wavefunction-based methods to complex chemical and physical systems.
  • The polynomial scaling allows for routine application to systems previously considered intractable.