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Update APOSMM docs
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docs/examples/aposmm.rst

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@@ -5,6 +5,14 @@ Asynchronously Parallel Optimization Solver for finding Multiple Minima
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(APOSMM) coordinates concurrent local optimization runs to identify
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many local minima faster on parallel hardware.
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Supported local optimization routines include:
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- DFO-LS_ Derivative-free solver for (bound constrained) nonlinear least-squares minimization
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- NLopt_ Library for nonlinear optimization, providing a common interface for various methods
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- `scipy.optimize`_ Open-source solvers for nonlinear problems, linear programming,
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constrained and nonlinear least-squares, root finding, and curve fitting.
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- `PETSc/TAO`_ Routines for the scalable (parallel) solution of scientific applications
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Required: mpmath_, SciPy_
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Optional (see below): petsc4py_, nlopt_, DFO-LS_

docs/examples/gen_funcs.rst

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@@ -43,13 +43,8 @@ Optimization
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- :doc:`APOSMM<aposmm>`
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APOSMM_ Asynchronously parallel optimization solver for finding multiple minima. Supported local optimization routines include:
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- DFO-LS_ Derivative-free solver for (bound constrained) nonlinear least-squares minimization
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- NLopt_ Library for nonlinear optimization, providing a common interface for various methods
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- `scipy.optimize`_ Open-source solvers for nonlinear problems, linear programming,
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constrained and nonlinear least-squares, root finding, and curve fitting.
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- `PETSc/TAO`_ Routines for the scalable (parallel) solution of scientific applications
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Asynchronously Parallel Optimization Solver for finding Multiple Minima (APOSMM_) coordinates
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concurrent local optimization runs to identify many local minima faster on parallel hardware.
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- :doc:`uniform_or_localopt<uniform_or_localopt>`
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