1Blurb:: 2Simple greedy local search method 3Description:: 4The Solis-Wets method is a simple greedy local search heuristic for 5continuous parameter spaces. Solis-Wets generates trial points using a 6multivariate normal distribution, and unsuccessful trial points are 7reflected about the current point to find a descent direction. 8 9<b> See the page \ref topic-package_scolib for important information 10regarding all SCOLIB methods </b> 11 12\c coliny_solis_wets is inherently serial, no concurrency is used. 13 14These specifications have the same meaning as corresponding 15specifications for \ref method-coliny_pattern_search. Please see that 16page for specification details. 17 18In particular, \c coliny_solis_wets supports dynamic rescaling of the 19step length, and dynamic rescaling of the constraint penalty. The only 20new specification is \c contract_after_failure, which specifies the 21number of unsuccessful cycles which must occur with a specific delta 22prior to contraction of the delta. 23 24<b>Expected HDF5 Output</b> 25 26If Dakota was built with HDF5 support and run with the 27\ref environment-results_output-hdf5 keyword, this method 28writes the following results to HDF5: 29 30- \ref hdf5_results-best_params 31- \ref hdf5_results-best_obj_fncs (when \ref responses-objective_functions) are specified) 32- \ref hdf5_results-best_constraints 33- \ref hdf5_results-calibration (when \ref responses-calibration_terms are specified) 34 35Topics:: package_scolib, package_coliny 36Examples:: 37Theory:: 38Faq:: 39See_Also:: method-coliny_beta, method-coliny_direct, method-coliny_pattern_search, method-coliny_cobyla, method-coliny_ea 40