Nonlinear.jl

# Copyright (c) 2017: Miles Lubin and contributors
# Copyright (c) 2017: Google Inc.
#
# Use of this source code is governed by an MIT-style license that can be found
# in the LICENSE.md file or at https://opensource.org/licenses/MIT.

"""
    Nonlinear

!!! warning
    The Nonlinear submodule is experimental. Until this message is removed,
    breaking changes may be introduced in any minor or patch release of
    MathOptInterface.
"""
module Nonlinear

import ForwardDiff
import ..MathOptInterface as MOI
import OrderedCollections: OrderedDict
import SparseArrays

using SpecialFunctions

# Override basic math functions to return NaN instead of throwing errors.
# This is what NLP solvers expect, and sometimes the results aren't needed
# anyway, because the code may compute derivatives wrt constants.
import NaNMath:
    sin,
    cos,
    tan,
    asin,
    acos,
    acosh,
    atanh,
    log,
    log2,
    log10,
    lgamma,
    log1p,
    pow,
    sqrt

include("univariate_expressions.jl")
include("operators.jl")
include("types.jl")
include("parse.jl")
include("model.jl")
include("evaluator.jl")

include("ReverseAD/ReverseAD.jl")

end  # module