diff --git a/docs/examples/gen_funcs.rst b/docs/examples/gen_funcs.rst index 9c2547186..2bfffa49b 100644 --- a/docs/examples/gen_funcs.rst +++ b/docs/examples/gen_funcs.rst @@ -32,7 +32,7 @@ Optimization aposmm uniform_or_localopt - ax_multitask + ax_multitask VTMOP ytopt consensus @@ -53,17 +53,17 @@ Optimization Performs a uniform random sample or a single persistent NLopt_ local optimization run. -- :doc:`ax_multitask` +- :doc:`Ax Multitask` Bayesian optimization with a Gaussian process and the multi-task algorithm of Ax_. - :ref:`VTMOP` - Generators using the VTMOP_ Fortran package for large-scale multiobjective multidisciplinary design optimization. + Generators using the VTMOP_ Fortran package for large-scale multiobjective multidisciplinary design optimization. (*community example*) - :ref:`ytopt` - Generators using ytopt_ (A Bayesian Optimization package for determining optimal input parameter configurations for applications or other executables). + Generators using ytopt_. A Bayesian Optimization package for determining optimal input parameter configurations for applications or other executables. (*community example*) .. - :ref:`Dragonfly` .. @@ -71,7 +71,8 @@ Optimization - :ref:`Consensus` - Distributed optimization methods for minimizing sums of convex functions. Methods include: + Distributed optimization methods for minimizing sums of convex functions (*community example*). + Methods include: - Primal-dual sliding (https://arxiv.org/pdf/2101.00143). - Distributed gradient descent with gradient tracking (https://arxiv.org/abs/1908.11444). - Proximal sliding (https://arxiv.org/abs/1406.0919). @@ -111,7 +112,7 @@ Modeling and Approximation - :ref:`DEAP-NSGA-II` - Distributed evolutionary algorithms (community example) + Distributed evolutionary algorithms (*community example*)