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docs/src/eigenproblems/lobpcg.md

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@@ -15,13 +15,8 @@ A `LOBPCGIterator` is created to pre-allocate all the memory required by the met
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## References
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Implementation is based on [^Knyazev1993] and [^Scipy].
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[Knyazev1993]:
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[^Knyazev1993]: Andrew V. Knyazev. "Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method" SIAM Journal on Scientific Computing, 23(2):517–541 2001.
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Andrew V. Knyazev. "Toward the Optimal Preconditioned Eigensolver: Locally
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Optimal Block Preconditioned Conjugate Gradient Method" SIAM Journal
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on Scientific Computing, 23(2):517–541, 2001.
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[Scipy LOBPCG implementation]:
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https://github.com/scipy/scipy/blob/v1.1.0/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py#L109-L568
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[^Scipy]: See [Scipy LOBPCG implementation](https://github.com/scipy/scipy/blob/v1.1.0/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py#L109-L568)

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