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Convex Over and Under Envelopes for Nonlinear Estimation

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I am getting the following error using amplpy for couenne solver Couenne 0.5.8 -- an Open-Source solver for Mixed Integer Nonlinear Optimization Mailing list: [[email protected]](mailto:[email protected]) Instructions: http://www.coin-or.org/Couenne couenne: error running...

When I try to compile Couenne I get this error: ``` ./../src/main/CouenneBab.cpp:45:8: error: ‘BONMINLIB_EXPORT’ does not name a type; did you mean ‘COUENNELIB_EXPORT’? 45 | extern BONMINLIB_EXPORT Bonmin::OACutGenerator2 *currentOA; //...

``` c++ -DHAVE_CONFIG_H -I. -I. -I.. -I./.. -I./../expression -I./../convex -I./../branch -I./../bound_tightening -I./../problem -I./../util -I/usr/local/include/coin -I/usr/local/include/coin-or/asl -I/usr/local/include/coin-or/mumps -I/usr/local/include/coin-or -I/usr/local/include/coin -I/usr/local/include/coin-or/asl -I/usr/local/include/coin-or/mumps -I/usr/local/include/coin-or -O2 -pipe -fstack-protector-strong -fno-strict-aliasing -DCOUENNE_BUILD -MT drawCuts.lo -MD -MP...

Installing in Windows seems a lot of pains if we follow the instruction from the [source](https://www.coin-or.org/download/source/Couenne/). Fortunately, there is a pre-compiled binary for Windows available at [coin-or website](https://www.coin-or.org/download/binary/Couenne/). Sadly, latest...

Hello, When investigating a problem with my tool (to figure out why Couenne was marking it as unfeasible when it was supposed to have a solution), I encountered a peculiar...

Hello I will appreciate if someone can help with the meaning of this code: ERROR: Solver (asl) returned non-zero return code (3221226505) best regards MCoimbra

One can use `clang` or `gcc-11` ``` git clone https://github.com/coin-or/Couenne.git cd Couenne FC=gfortran-11 CC=gcc-11 ./configure --prefix=/data/data/com.termux/files/usr/local/ --with-bonmin --with-asl --with-scip CPPFLAGS="-I/data/data/com.termux/files/usr/local/include/coin/ -I/data/data/com.termux/files/usr/local/include/coin/ThirdParty -I/data/data/com.termux/files/usr/local/include/coin-or/ -I/data/data/com.termux/files/usr/local/include/" --with-lapack="-L/data/data/com.termux/files/usr/include/openblas/ -lopenblas" --with-scip-lflags="-L/data/data/com.termux/files/usr/local/lib -lscip" --build=aarch64-linux-android --without-cplex --without-osicpx...

Using AmplNLWriter.Optimizer(Couenne_jll.amplexe)), both primal_status and termination_status show solutions are found. But both objective and decision variables are empty. Please refer to https://github.com/jump-dev/AmplNLWriter.jl/issues/160 and https://stackoverflow.com/questions/74225064/julia-jump-couenne-how-to-get-intermediate-or-best-feasible-solutions-when-ti?noredirect=1#comment131053475_74225064

using AmplNLWriter, Couenne_jll model = Model(() -> AmplNLWriter.Optimizer(Couenne_jll.amplexe)) ... optimize!(model) println("primal_status=", primal_status(model)) println("termination_status=", termination_status(model)) print("raw_status(model)=", raw_status(model)) The couenne.opt file is [couenne.opt1.txt](https://github.com/coin-or/Couenne/files/9905284/couenne.opt1.txt) The .lp file is [Couenne_model1.lp.txt](https://github.com/coin-or/Couenne/files/9905285/Couenne_model1.lp.txt) The .nl file is...

Hello there thanks for the awesome collection of optimization solvers you guys have join here. We seen that the content of the release `.tar` files are different from the **clone**...