Use same variable names as in code
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@ -600,9 +600,17 @@ def eigsolve(
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# Now know the direction (D), but need to find how far to go (alpha)
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# Now know the direction (D), but need to find how far to go (alpha)
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# We are still minimizing E = tr((Z + alpha D)t A (Z + alpha D) U')
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# We are still minimizing E = tr((Z + alpha D)t A (Z + alpha D) U')
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# = tr(ZtAZU' + alpha DtAZU' + alpha ZtADU' + alpha**2 DtADU')
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# = tr(ZtAZU' + alpha DtAZU' + alpha ZtADU' + alpha**2 DtADU')
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# = tr((ZtAZ + 2 alpha sym(DtAZ) + alpha**2 DtAD) U')
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# = tr(R U')
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# = tr(R Qi) = tr(R inv(Q))
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# where U' = inv((Z + alpha D)t (Z + alpha D))
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# where
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# R = ZtAZ + 2 alpha sym(DtAZ) + alpha**2 DtAD
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#
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# Q = (Z + alpha D)t (Z + alpha D)
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# = inv(ZtZ + alpha ZtD + alpha DtZ + alpha**2 DtD)
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# = inv(ZtZ + alpha ZtD + alpha DtZ + alpha**2 DtD)
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#
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# Qi = inv(Q) = U'
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AD = scipy_op @ D
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AD = scipy_op @ D
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DtD = D.conj().T @ D
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DtD = D.conj().T @ D
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