This completes the updates of my extensions to NetLogo 7.0

libraries.conf

@@ -133,6 +133,14 @@ In general, the LevelSpace syntax has been designed to align with existing NetLo
     version: "2.4.0"
     homepage: "https://docs.netlogo.org/7.0.0-beta2/ls.html"
   }
+  {
+    name: "LinProg"
+    codeName: "linprog"
+    shortDescription: "A set linear programming routines for NetLogo"
+    longDescription: "The LinProg extension contains primitives for solving both primal and dual linear programming problems, with and without non-negativity constraints."
+    version: "1.0.0"
+    homepage: "https://github.com/cstaelin/LinProg-Extension"
+  }
   {
     name: "Matrix"
     codeName: "matrix"
@@ -160,6 +168,14 @@ If you’d like to know more about matrices and how they can be used, you might
     homepage: "https://github.com/NetLogo/NodeJS-Extension"
     minNetLogoVersion: "NetLogo 6.3.0"
   }
+  {
+    name: "NumAnal"
+    codeName: "numanal"
+    shortDescription: "A set of numerical analysis routines for NetLogo"
+    longDescription: "The NumAnal extension contains methods for finding the roots of single equations (Brent) and multivariable systems of equations (Newton and Broyden), for finding the minima of single equations (Brent) and multivariable functions (BOBYQA, CDS, CGS, CMAES, DES and Simplex), for finding fixed points (Scarf), and for evaluating definite integrals (Romberg). Documentation can be found in the folder/directory where the Extension Manager has installed the extension."
+    version: "4.0.0"
+    homepage: "https://github.com/cstaelin/NumAnal-Extension/releases"
+  }
   {
     name: "Palette"
     codeName: "palette"
@@ -279,7 +295,7 @@ Secondly, it means not having to carry around external files (like CSV or GIS da
     longDescription: """The stats extension provides basic statistical functions for data generated within NetLogo models. stats maintains an internal data table of observations on an arbitrary number of variables and allows the user to find such statistics for the data as means, medians, quartiles, percentiles, standard deviations, and variance-covariance and correlation matrices; to regress one or more variables on another; and to forecast the value of any variable into the future based on past observations. Regression statistics include R2, Adjusted R2, F and the probability of F, and for each of the coefficients, the standard error, T statistic and probability of the T statistic. stats also provides values of. and the areas under, the normal, log-normal, student, binomial, gamma, beta and Chi-Square distributions, and, for some, their inverses.
 
 Although stats can be used to analyze the overall results of a run of a model, it is intended mostly for the use of smart agents who gather and analyze data in order to make decisions. Agents can maintain their private data tables, use tables shared as globals, or both."""
-    version: "3.0.0"
+    version: "3.0.1"
     homepage: "https://github.com/cstaelin/Stats-Extension"
   }
   {