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CUTEr >> CUTEr > cuter_bench

cuter_bench

benchmarks solvers against CUTEr problem collection function

Calling Sequence

cuter_bench(result_file [,solvers])

Parameters

result_file

A string: the path of the result file

sovers

A string vector, the names of the solvers

Description

cuter_bench(result_file) stores in the file given by result_file the result tables for the solvers ipopt, optimqn, optimgc, fsqpal, fsqpnl, qld, qpsolve, quapro

The results for the solver <solver_name> are stored in a data structure named Res_<solver_name>. Each row of the data structure contains the results for a CUTEr problem. The data fields depends on the solver but there is at least : the optimal objective found (Cost,the feasibility norm (feas), the lagrangian norm (glagn), the dual feasibility norm (comp_val), the cpu time (Time) and a failure indicator (Fail). If relevant, the number of objective function calls (Nf) and the number of gradient of objective function calls (Ng) are also reported.

cuter_bench(result_file,solvers) can be used to specify a subset of the solvers.

Adding a new solver

To add a new Scilab solver one must create:

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