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author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2020-12-30 13:49:20 +0100 |
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committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2020-12-30 13:49:20 +0100 |
commit | 57c597f34858eb256a1c681ab931cf0ec665cec3 (patch) | |
tree | 69aea0987ac891d3d36ab406da23f673c7ba71b6 /bezout.tex | |
parent | 3aa483b31c12d6a3afb1215ce6188aca8c314e72 (diff) | |
download | PRR_3_023064-57c597f34858eb256a1c681ab931cf0ec665cec3.tar.gz PRR_3_023064-57c597f34858eb256a1c681ab931cf0ec665cec3.tar.bz2 PRR_3_023064-57c597f34858eb256a1c681ab931cf0ec665cec3.zip |
Letter format and bibliography updates.
Diffstat (limited to 'bezout.tex')
-rw-r--r-- | bezout.tex | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -44,7 +44,7 @@ Spin-glasses have long been considered the paradigm of many variable `complex landscapes,' a subject that includes neural networks and optimization problems, -most notably constraint satisfaction \cite{mezard2009information}. The most tractable family of these +most notably constraint satisfaction \cite{Mezard_2009_Information}. The most tractable family of these are the mean-field spherical $p$-spin models \cite{Crisanti_1992_The} (for a review see \cite{Castellani_2005_Spin-glass}) defined by the energy \begin{equation} \label{eq:bare.hamiltonian} |