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