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-rw-r--r--documentation/research/paradigm/probabilistic_programming.md1
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# Graph Theory
+1. [Graphs and Geometry](http://web.cs.elte.hu/~lovasz/bookxx/geomgraphbook/geombook2019.01.11.pdf)
1. [Graph-Based Algorithms for Boolean Function Manipulation](http://mtv.ece.ucsb.edu/courses/ece156B_14/randy_obdd86.pdf)
1. [better geometry through graph theory](http://ideolalia.com/2018/08/28/artifex.html)
@@ -232,6 +233,7 @@
# Linear programming
+1. https://en.wikibooks.org/wiki/GLPK
1. https://white.ucc.asn.au/2018/05/28/Optimizing-your-diet-with-JuMP.html
# Combinatorics
@@ -271,6 +273,10 @@
1. https://en.wikipedia.org/wiki/Haversine_formula
+# Hyperbolic geometry
+
+1. [Hyperbolic Functions and Non-Hyperbolic Claims](https://elliptigon.com/hyperbolic-functions-explained/)
+
# **Temp Cache**
1. https://www.juliahomotopycontinuation.org/
diff --git a/documentation/research/paradigm/probabilistic_programming.md b/documentation/research/paradigm/probabilistic_programming.md
index 4a6fd830a..6b37d6097 100644
--- a/documentation/research/paradigm/probabilistic_programming.md
+++ b/documentation/research/paradigm/probabilistic_programming.md
@@ -5,6 +5,7 @@
# Inference
+1. [Gen: A general-purpose probabilistic programming system with programmable inference.](https://probcomp.github.io/Gen/)
1. [Probabilistic Programming with Programmable Inference](https://people.csail.mit.edu/rinard/paper/pldi18.pdf)
1. https://www.microsoft.com/en-us/research/blog/dowhy-a-library-for-causal-inference/