Abstract: In one embodiment, a method for optimization using multi-dimensional data includes receiving a problem instance to be solved using an optimization engine. The problem instance is specified in a multi-dimensional format associated with a multidimensional data model that includes multiple data dimensions each including a hierarchy of members. The problem instance includes an objective function, an optimization operator, and one or more constraints. The optimization engine is unable to solve the problem instance including the objective function, the optimization operator, and the one or more constraints in the multi-dimensional format.

Abstract: In one embodiment, a method for optimization using multi-dimensional data includes receiving a problem instance to be solved using an optimization engine. The problem instance is specified in a multi-dimensional format associated with a multidimensional data model that includes multiple data dimensions each including a hierarchy of members. The problem instance includes an objective function, an optimization operator, and one or more constraints. The optimization engine is unable to solve the problem instance including the objective function, the optimization operator, and the one or more constraints in the multi-dimensional format.

Abstract: In one embodiment, a method for optimization using multi-dimensional data includes receiving a problem instance to be solved using an optimization engine. The problem instance is specified in a multi-dimensional format associated with a multi-dimensional data model that includes multiple data dimensions each including a hierarchy of members. The problem instance includes an objective function, an optimization operator, and one or more constraints. The optimization engine is unable to solve the problem instance including the objective function, the optimization operator, and the one or more constraints in the multi-dimensional format.

Abstract: A system (10) for optimization using multi-dimensional data includes a server (12) that uses a multi-dimensional data model to organize data stored at one or more data storage locations (14). The multi-dimensional data model includes a number of data dimensions (50, 70) that each include a hierarchy of members (54, 74). The server (12) receives input from a user specifying a problem instance to be solved using an optimization engine (20). The problem instance is specified by the user in a multi-dimensional format and the optimization engine (20) is unable to solve the problem instance in the multi-dimensional format. The system (10) also includes a transformation module (22) that receives the problem instance in the multi-dimensional format, transforms the problem instance into a format appropriate for the optimization engine (20), and communicates the transformed problem instance to the optimization engine (20) to be solved.

Abstract: In one embodiment, a method for optimization using multi-dimensional data includes receiving a problem instance to be solved using an optimization engine. The problem instance is specified in a multi-dimensional format associated with a multi-dimensional data model that includes multiple data dimensions each including a hierarchy of members. The problem instance includes an objective function, an optimization operator, and one or more constraints. The optimization engine is unable to solve the problem instance including the objective function, the optimization operator, and the one or more constraints in the multi-dimensional format.