SAS/OR 13.2 adds new optimization features that are designed to provide direct access to a wider range of algorithms, improve current methods, and enhance output. Highlights include:
Several solvers improve their performance.
PROC OPTMODEL adds the experimental constraint logic programming (CLP) solver.
The nonlinear programming (NLP) solver adds output of the covariance matrix for the decision variables (parameter estimates).
The decomposition (DECOMP) algorithm adds new block detection features.
For the linear programming (LP) interior point solver, the crossover algorithm is applied by default.
The network solver is at production status.
The parallel implementation of the mixed integer linear programming (MILP) solver is at production status.
SAS Simulation Studio 13.2, a component of SAS/OR 13.2 for Windows environments, improves performance and adds controls on numeric precision and saved data. Highlights include:
A new optional parallel mode executes design points and replications simultaneously on multiple computational cores.
The new Data Trimmer block provides a central facility to control data collection. You can clear (or reset) collected data for all selected data collection blocks at one or more chosen times during the execution of the model.
The Formula block adds a control on the precision of the numeric values that it produces.