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Related Experiment Video

Updated: Jul 5, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Monge-Ampere grids and the multidimensional mapped Fourier method.

Ilan Degani1

  • 1Mathematics Institute, University of Bergen, Johannes Brunsgate 12, Bergen 5008, Norway. ilan.degani@mi.uib.no

The Journal of Chemical Physics
|May 2, 2008
PubMed
Summary

Solving the Monge-Ampere equation enables better coordinate transformations for numerical methods. This improves accuracy in multidimensional problems like Schrodinger's equation, benefiting computational quantum mechanics.

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Area of Science:

  • Computational physics
  • Numerical analysis
  • Quantum mechanics

Background:

  • Mapped Fourier methods enhance numerical efficiency through tailored coordinate transformations.
  • A key challenge in multidimensional applications is finding effective coordinate transformations.
  • Standard Fourier methods face accuracy limitations in complex systems.

Purpose of the Study:

  • To investigate the use of the Monge-Ampere equation for generating coordinate transformations.
  • To apply these transformations within the mapped Fourier method for multidimensional problems.
  • To assess the impact on the accuracy of solving Schrodinger's equation.

Main Methods:

  • Coordinate transformations were derived by solving the Monge-Ampere equation.
  • The derived transformations were integrated into the mapped Fourier method.
  • The combined approach was applied to eigenvalue calculations for multidimensional Schrodinger's equation.

Main Results:

  • Significant improvements in accuracy were achieved compared to the standard Fourier method.
  • The method demonstrated enhanced performance in eigenvalue calculations for two-dimensional systems.
  • The Monge-Ampere equation proved effective in constructing efficient representations.

Conclusions:

  • The Monge-Ampere equation is a valuable tool for creating optimal coordinate transformations.
  • This approach offers a pathway to more accurate and efficient multidimensional simulations.
  • The findings have implications for computational quantum mechanics and related scientific fields.