首页|Emory University Reports Findings in Machine Learning (A New A Priori Method to Avoid Calculation of Negligible Hamiltonian Matrix Elements in CI Calculation)
Emory University Reports Findings in Machine Learning (A New A Priori Method to Avoid Calculation of Negligible Hamiltonian Matrix Elements in CI Calculation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Atlanta, Georgia, by NewsRx correspondents, research stated, “Hamiltonianmatrices typically contain many elements that are negligibly small compared to the diagonal elements,even with methods to prune the underlying basis. Because for general potentials the calculation of -matrix elements is a major part of the computational effort to obtain eigenvalues and eigenfunctions of theHamiltonian, there is strong motivation to investigate locating these negligible elements without calculatingthem or at least avoid calculating them.”
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