Abstract: A collection of rules are translated into a mathematical constraint model for a business application to effectively encode the knowledge, apply the model, and suggest results in a highly consistent, highly performant manner. An integrated feedback mechanism enables the system to learn weights and relationships between related rules that may not be obvious to the knowledge workers and to detect the emergence of new factors for adjustments to the model. Constraints that may affect the outcome of the optimization may be considered instead of all constraints allowing the optimizer to run much more quickly. Parallelism may be enabled allowing execution of multiple optimization processes to evaluate multiple scenarios. Furthermore, outcome of the optimizations may be explained back to the user by providing the constraints that were considered.

Abstract: A system for use in rendering a report for a client application, client server application or multi-tier applications. The system includes a report definition generator that is configured to generate a report definition using metadata located in a metadata store. A database in the application configured to receive a query and to provide a data set. A design engine is configured to render the report based on the report definition, parameters and the data set.