added references to the c++ library, and fixed a figure label

1 files changed, 42 insertions, 32 deletions

diff --git a/monte-carlo.bib b/monte-carlo.bib
index 06a713a..0071b74 100644
--- a/monte-carlo.bib
+++ b/monte-carlo.bib
@@ -631,22 +631,24 @@ random field Ising model and finally of quantum spin glasses.},
 	file = {APS Snapshot:/home/pants/.zotero/data/storage/GD9PHBAV/RevModPhys.51.html:text/html;Mermin - 1979 - The topological theory of defects in ordered media.pdf:/home/pants/.zotero/data/storage/ZJE9JPN6/Mermin - 1979 - The topological theory of defects in ordered media.pdf:application/pdf}
 }
 
-@article{ossola_dynamic_2004,
-	title = {Dynamic critical behavior of the {Swendsen}–{Wang} algorithm for the three-dimensional {Ising} model},
-	volume = {691},
-	issn = {0550-3213},
-	url = {http://www.sciencedirect.com/science/article/pii/S0550321304003098},
-	doi = {10.1016/j.nuclphysb.2004.04.026},
-	abstract = {We have performed a high-precision Monte Carlo study of the dynamic critical behavior of the Swendsen–Wang algorithm for the three-dimensional Ising model at the critical point. For the dynamic critical exponents associated to the integrated autocorrelation times of the “energy-like” observables, we find zint,N=zint,E=zint,E′=0.459±0.005±0.025, where the first error bar represents statistical error (68\% confidence interval) and the second error bar represents possible systematic error due to corrections to scaling (68\% subjective confidence interval). For the “susceptibility-like” observables, we find zint,M2=zint,S2=0.443±0.005±0.030. For the dynamic critical exponent associated to the exponential autocorrelation time, we find zexp≈0.481. Our data are consistent with the Coddington–Baillie conjecture zSW=β/ν≈0.5183, especially if it is interpreted as referring to zexp.},
+@article{martin-mayor_tethered_2011,
+	title = {Tethered {Monte} {Carlo}: {Managing} {Rugged} {Free}-{Energy} {Landscapes} with a {Helmholtz}-{Potential} {Formalism}},
+	volume = {144},
+	issn = {1572-9613},
+	shorttitle = {Tethered {Monte} {Carlo}},
+	url = {https://doi.org/10.1007/s10955-011-0261-4},
+	doi = {10.1007/s10955-011-0261-4},
+	abstract = {Tethering methods allow us to perform Monte Carlo simulations in ensembles with conserved quantities. Specifically, one couples a reservoir to the physical magnitude of interest, and studies the statistical ensemble where the total magnitude (system+reservoir) is conserved. The reservoir is actually integrated out, which leaves us with a fluctuation-dissipation formalism that allows us to recover the appropriate Helmholtz effective potential with great accuracy. These methods are demonstrating a remarkable flexibility. In fact, we illustrate two very different applications: hard spheres crystallization and the phase transition of the diluted antiferromagnet in a field (the physical realization of the random field Ising model). The tethered approach holds the promise to transform cartoon drawings of corrugated free-energy landscapes into real computations. Besides, it reduces the algorithmic dynamic slowing-down, probably because the conservation law holds non-locally.},
+	language = {en},
 	number = {3},
 	urldate = {2018-09-19},
-	journal = {Nuclear Physics B},
-	author = {Ossola, Giovanni and Sokal, Alan D.},
-	month = jul,
-	year = {2004},
-	keywords = {Ising model, Cluster algorithm, Autocorrelation time, Dynamic critical exponent, Monte Carlo, Potts model, Swendsen–Wang algorithm},
-	pages = {259--291},
-	file = {ScienceDirect Full Text PDF:/home/pants/.zotero/data/storage/MKA8WYZZ/Ossola and Sokal - 2004 - Dynamic critical behavior of the Swendsen–Wang alg.pdf:application/pdf;ScienceDirect Snapshot:/home/pants/.zotero/data/storage/YHGX7CDT/S0550321304003098.html:text/html}
+	journal = {Journal of Statistical Physics},
+	author = {Martin-Mayor, V. and Seoane, B. and Yllanes, D.},
+	month = aug,
+	year = {2011},
+	keywords = {Effective potential, Monte Carlo methods, Barriers},
+	pages = {554--596},
+	file = {Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:/home/pants/.zotero/data/storage/HEICZ4EE/Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:application/pdf}
 }
 
 @article{martin-mayor_cluster_2009,
@@ -665,24 +667,22 @@ random field Ising model and finally of quantum spin glasses.},
 	file = {APS Snapshot:/home/pants/.zotero/data/storage/2USVICMH/PhysRevE.80.html:text/html;Martin-Mayor and Yllanes - 2009 - Cluster Monte Carlo algorithm with a conserved ord.pdf:/home/pants/.zotero/data/storage/7G4SJC85/Martin-Mayor and Yllanes - 2009 - Cluster Monte Carlo algorithm with a conserved ord.pdf:application/pdf}
 }
 
-@article{martin-mayor_tethered_2011,
-	title = {Tethered {Monte} {Carlo}: {Managing} {Rugged} {Free}-{Energy} {Landscapes} with a {Helmholtz}-{Potential} {Formalism}},
-	volume = {144},
-	issn = {1572-9613},
-	shorttitle = {Tethered {Monte} {Carlo}},
-	url = {https://doi.org/10.1007/s10955-011-0261-4},
-	doi = {10.1007/s10955-011-0261-4},
-	abstract = {Tethering methods allow us to perform Monte Carlo simulations in ensembles with conserved quantities. Specifically, one couples a reservoir to the physical magnitude of interest, and studies the statistical ensemble where the total magnitude (system+reservoir) is conserved. The reservoir is actually integrated out, which leaves us with a fluctuation-dissipation formalism that allows us to recover the appropriate Helmholtz effective potential with great accuracy. These methods are demonstrating a remarkable flexibility. In fact, we illustrate two very different applications: hard spheres crystallization and the phase transition of the diluted antiferromagnet in a field (the physical realization of the random field Ising model). The tethered approach holds the promise to transform cartoon drawings of corrugated free-energy landscapes into real computations. Besides, it reduces the algorithmic dynamic slowing-down, probably because the conservation law holds non-locally.},
-	language = {en},
+@article{ossola_dynamic_2004,
+	title = {Dynamic critical behavior of the {Swendsen}–{Wang} algorithm for the three-dimensional {Ising} model},
+	volume = {691},
+	issn = {0550-3213},
+	url = {http://www.sciencedirect.com/science/article/pii/S0550321304003098},
+	doi = {10.1016/j.nuclphysb.2004.04.026},
+	abstract = {We have performed a high-precision Monte Carlo study of the dynamic critical behavior of the Swendsen–Wang algorithm for the three-dimensional Ising model at the critical point. For the dynamic critical exponents associated to the integrated autocorrelation times of the “energy-like” observables, we find zint,N=zint,E=zint,E′=0.459±0.005±0.025, where the first error bar represents statistical error (68\% confidence interval) and the second error bar represents possible systematic error due to corrections to scaling (68\% subjective confidence interval). For the “susceptibility-like” observables, we find zint,M2=zint,S2=0.443±0.005±0.030. For the dynamic critical exponent associated to the exponential autocorrelation time, we find zexp≈0.481. Our data are consistent with the Coddington–Baillie conjecture zSW=β/ν≈0.5183, especially if it is interpreted as referring to zexp.},
 	number = {3},
 	urldate = {2018-09-19},
-	journal = {Journal of Statistical Physics},
-	author = {Martin-Mayor, V. and Seoane, B. and Yllanes, D.},
-	month = aug,
-	year = {2011},
-	keywords = {Effective potential, Monte Carlo methods, Barriers},
-	pages = {554--596},
-	file = {Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:/home/pants/.zotero/data/storage/HEICZ4EE/Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:application/pdf}
+	journal = {Nuclear Physics B},
+	author = {Ossola, Giovanni and Sokal, Alan D.},
+	month = jul,
+	year = {2004},
+	keywords = {Ising model, Cluster algorithm, Autocorrelation time, Dynamic critical exponent, Monte Carlo, Potts model, Swendsen–Wang algorithm},
+	pages = {259--291},
+	file = {ScienceDirect Full Text PDF:/home/pants/.zotero/data/storage/MKA8WYZZ/Ossola and Sokal - 2004 - Dynamic critical behavior of the Swendsen–Wang alg.pdf:application/pdf;ScienceDirect Snapshot:/home/pants/.zotero/data/storage/YHGX7CDT/S0550321304003098.html:text/html}
 }
 
 @article{ala-nissila_numerical_1994,
@@ -749,12 +749,13 @@ random field Ising model and finally of quantum spin glasses.},
 	file = {APS Snapshot:/home/pants/.zotero/data/storage/A8T7IR63/PhysRevLett.56.html:text/html;Dierker et al. - 1986 - Consequences of Bond-Orientational Order on the Ma.pdf:/home/pants/.zotero/data/storage/9XEH86XP/Dierker et al. - 1986 - Consequences of Bond-Orientational Order on the Ma.pdf:application/pdf}
 }
 
-@misc{bierbaum_ising.js_nodate,
+@misc{bierbaum_ising.js_2016,
 	title = {Ising.js},
 	url = {https://mattbierbaum.github.io/ising.js/},
 	urldate = {2018-09-25},
 	author = {Bierbaum, Matthew K.},
-	note = {Source: https://github.com/mattbierbaum/ising.js\vphantom{\{}\}}
+	year = {2016},
+	note = {https://github.com/mattbierbaum/ising.js/}
 }
 
 @article{bortz_new_1975,
@@ -788,4 +789,13 @@ random field Ising model and finally of quantum spin glasses.},
 	year = {1991},
 	pages = {938--946},
 	file = {APS Snapshot:/home/pants/.zotero/data/storage/NCJ8EBM9/PhysRevB.43.html:text/html;Zhang and Larese - 1991 - Melting of monolayer argon adsorbed on a graphite .pdf:/home/pants/.zotero/data/storage/MZTKK99U/Zhang and Larese - 1991 - Melting of monolayer argon adsorbed on a graphite .pdf:application/pdf}
+}
+
+@misc{kent-dobias_wolff_2018,
+	title = {Wolff},
+	url = {https://git.kent-dobias.com/wolff/},
+	abstract = {Efficiently simulate spin models using a generalized Wolff algorithm.},
+	author = {Kent-Dobias, Jaron},
+	year = {2018},
+	note = {https://git.kent-dobias.com/wolff/}
 }
\ No newline at end of file