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#
# Copyright 2007-2018 by the individuals mentioned in the source code history
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
require(OpenMx)
#mxOption(NULL, "Default optimizer", "NPSOL")
m1 <- mxModel(
mxMatrix(nrow=1,ncol=1,free=TRUE,name="x", values=.5),
mxAlgebra(abs(x), name="absX"),
mxFitFunctionAlgebra("absX"))
m1 <- mxRun(m1)
omxCheckCloseEnough(c(m1$compute$steps[[2]]$output$gradient[1,c('forward','central','backward')]),
c(-1, 0, 1), 1e-2)
if (0) {
# We cannot detect this reliably.
omxCheckEquals(m1$output$status$code,6)
omxCheckEquals(summary(m1)$npsolMessage, "The model does not satisfy the first-order optimality conditions to the required accuracy, and no improved point for the merit function could be found during the final linesearch (Mx status RED)")
}
omxCheckError(mxOption(m1, "Gradient algorithm", "forward"), "'Gradient algorithm' is a global option and cannot be set on models.
To change 'Gradient algorithm' globally, use, e.g.:
mxOption(NULL, 'Gradient algorithm', 'forward')")
mxOption(NULL, "Gradient algorithm", "central")
omxCheckEquals(mxComputeGradientDescent()$gradientAlgo, "central")
mxOption(NULL, "Gradient algorithm", "forward")
omxCheckEquals(mxComputeGradientDescent()$gradientAlgo, "forward")
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