Release notes for 1.9.1 (#995)

* Release notes for 1.9.1

* bump version to 1.9.1

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.9.1-dev
+current_version = 1.9.1
 commit = True
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+))?

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -23,7 +23,7 @@ body:
     attributes:
       label: Dymos Version
       description: What version of Dymos is being used.
-      placeholder: "1.9.1-dev"
+      placeholder: "1.9.1"
     validations:
       required: true
   - type: textarea

dymos/__init__.py

@@ -1,4 +1,4 @@
-__version__ = '1.9.1-dev'
+__version__ = '1.9.1'
 
 from .phase import Phase, AnalyticPhase
 from .transcriptions import GaussLobatto, Radau, ExplicitShooting, Analytic

release_notes.md

@@ -1,3 +1,29 @@
+*******************************
+# Release Notes for Dymos 1.9.1
+
+September 14, 2023
+
+Dymos 1.9.1 fixes a few bugs introduced in 1.9.0.
+For problems in which phases are directly connected, the total derivatives
+could be wrong in some cases due to the lack of a linear solver covering
+the initial value defect. Also, control rates were showing up in timeseries
+outputs by default. Now, as expected, they must be requested explicitly
+as a timeseries output.
+
+## Backwards Incompatible API Changes & Deprecations
+- None
+- 
+## Enhancements
+- None
+
+## Bug Fixes
+- Added linear solver for cases where states solved via optimizer have input_initial=True. [#991](https://github.com/OpenMDAO/dymos/pull/991)
+- Fixed an issue where control rate values are showing up in timeseries outputs by default. [#987](https://github.com/OpenMDAO/dymos/pull/987)
+
+## Miscellaneous
+- Minor tweaks to the github issue templates. [#985](https://github.com/OpenMDAO/dymos/pull/985) [#993](https://github.com/OpenMDAO/dymos/pull/993)
+
+
 *******************************
 # Release Notes for Dymos 1.9.0
 

setup.py

@@ -41,7 +41,7 @@
 
 
 setup(name='dymos',
-    version='1.9.1-dev',
+    version='1.9.1',
     description='Open-Source Optimization of Dynamic Multidisciplinary Systems',
     long_description='''
 Dymos is a framework for the simulation and optimization of dynamical systems within the OpenMDAO Multidisciplinary Analysis and Optimization environment.