version 1.0.2

version 1.0.2

Author: simopt-admin

README.md

@@ -219,5 +219,5 @@ To cite this work, please use
 
 ## Acknowledgments
 An earlier website for SimOpt, [http://www.simopt.org](http://www.simopt.org), was developed through work supported by the National Science Foundation under grant nos. DMI-0400287, CMMI-0800688 and CMMI-1200315.
-Recent work on the development of SimOpt has been supported by the National Science Foundation under grant nos. DGE-1650441, CMMI-1537394, CMMI-1254298, CMMI-1536895, IIS-1247696, and TRIPODS+X DMS-1839346, by the Air Force Office of Scientific Research under grant nos. FA9550-12-1-0200, FA9550-15-1-0038, and FA9550-16-1-0046, and by the Army Research Office under grant no. W911NF-17-1-0094.
+Recent work on the development of SimOpt has been supported by the National Science Foundation under grant nos. DGE-1650441, CMMI-1537394, CMMI-1254298, CMMI-1536895, CMMI-2206972, IIS-1247696, and TRIPODS+X DMS-1839346, by the Air Force Office of Scientific Research under grant nos. FA9550-12-1-0200, FA9550-15-1-0038, and FA9550-16-1-0046, and by the Army Research Office under grant no. W911NF-17-1-0094.
 Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation (NSF).

dist/simoptlib-1.0.1-py3-none-any.whl

@@ -102,8 +102,8 @@ If random solutions are needed, generate :math:`x` from an Exponential distribut
 Optimal Solution:
 -----------------
 
-Global minimum at :math:`x* = (1/((1-r)^{1/β})-1)^{1/α}`.
-For the default factors, the optimal solution is :math:`x*` = 0.1878.
+Global minimum at :math:`x^* = (1/((1-r)^{1/β})-1)^{1/α}`.
+For the default factors, the optimal solution is :math:`x^*` = 0.1878.
 
 Optimal Objective Function Value:
 ---------------------------------

dist/simoptlib-1.0.1.tar.gz

@@ -7,7 +7,7 @@ packages = ["simopt", "simopt.models", "simopt.solvers"]
 
 [project]
 name = "simoptlib"
-version = "1.0.1"
+version = "1.0.2"
 authors = [
   { name="David Eckman", email="[email protected]" },
   { name="Shane Henderson", email="[email protected]" },

dist/simoptlib-1.0.2-py3-none-any.whl

@@ -260,7 +260,6 @@ class Problem(object):
         Subset of user-specified non-decision factors to pass through to the model.
     """
     def __init__(self, fixed_factors, model_fixed_factors):
-        print(self.name)
         # Set factors of the problem.
         # Fill in missing factors with default values.
         self.factors = fixed_factors

dist/simoptlib-1.0.2.tar.gz

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: simoptlib
-Version: 1.0.1
+Version: 1.0.2
 Summary: A testbed for simulation-optimization experiments.
 Author-email: David Eckman <[email protected]>, Shane Henderson <[email protected]>, Sara Shashaani <[email protected]>
 License: MIT License
@@ -255,5 +255,5 @@ To cite this work, please use
 
 ## Acknowledgments
 An earlier website for SimOpt, [http://www.simopt.org](http://www.simopt.org), was developed through work supported by the National Science Foundation under grant nos. DMI-0400287, CMMI-0800688 and CMMI-1200315.
-Recent work on the development of SimOpt has been supported by the National Science Foundation under grant nos. DGE-1650441, CMMI-1537394, CMMI-1254298, CMMI-1536895, IIS-1247696, and TRIPODS+X DMS-1839346, by the Air Force Office of Scientific Research under grant nos. FA9550-12-1-0200, FA9550-15-1-0038, and FA9550-16-1-0046, and by the Army Research Office under grant no. W911NF-17-1-0094.
+Recent work on the development of SimOpt has been supported by the National Science Foundation under grant nos. DGE-1650441, CMMI-1537394, CMMI-1254298, CMMI-1536895, CMMI-2206972, IIS-1247696, and TRIPODS+X DMS-1839346, by the Air Force Office of Scientific Research under grant nos. FA9550-12-1-0200, FA9550-15-1-0038, and FA9550-16-1-0046, and by the Army Research Office under grant no. W911NF-17-1-0094.
 Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation (NSF).

docs/cntnv.rst

@@ -14,6 +14,7 @@ simopt/models/cntnv.py
 simopt/models/contam.py
 simopt/models/dualsourcing.py
 simopt/models/dynamnews.py
+simopt/models/example.py
 simopt/models/facilitysizing.py
 simopt/models/fixedsan.py
 simopt/models/hotel.py