Bridging the gap between quantum Monte Carlo and F12-methods

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A literature survey of low‐rank tensor approximation techniques (2013, neutral): “For example, they have been used for addressing: • the approximation of parameter-dependent integrals [15, 164, 190], multi-dimensional integrals [48, 112,153], and multi-dimensional convolution [152]; • computational tasks in electronic structure calculations, e.g., based on Hartree-Fock or DFT…”
Adaptive low rank wavelet methods and applications to two-electron Schrödinger equations (2012, background): “The approximability of lower-dimensional components in L2–best approximations of given rank has been studied in [146, 27].”