Computer System For Data Manipulation And Related Methods

Abstract

A computer system (100) for data management arranged to provide at least four components: a generator component (202), a solver component (204), a simulation component (206) and a visualisation component (208), wherein the simulation component (206) is arranged to simulate stochastic processes and output simulation data of the simulated process to the generator component (202); the generator component (202) is arranged to process a model input thereto and to generate a Dynamic Stochastic Program (DSP) therefrom and also to process the simulation data received from the simulation component and output the DSP together with the processed simulation data to the solver component (204); the solver component being arranged to receive the DSP and the processed simulation data and to process the DSP together with the simulation data; and the visualisation component (208) being arranged to allow the data being processed by the solver to be visualised.

Description

FIELD OF THE INVENTION [0001] This invention relates to a computer system for data manipulation and in particular, but not exclusively, to a computer system arranged to manipulate data to ascertain future trends. Related methods are also provided. BACKGROUND OF THE INVENTION [0002] Linear, and more generally mathematical, programming optimization techniques have been in steady commercial use on the computing systems of the day since the mid 1950s. Sometime in the mid 1970s, independently at both the US Energy Department and the World Bank, the concept of a modelling language for mathematical programming arose. [0003] Representation of a model in such a language is to the numerical optimization of a mathematical program the analogue of what a database management system schema is to a flat file. It is straightforward for the analyst to turn a mathematical description of a model into statements in a modelling language which then communicates directly with the solver—optimization routin...

AI Technical Summary

Benefits of technology

[0027] The method may allow the simulator component and/or the visualisation component to be customized for particular applications, or replaced in part by sub-components created specifically for a predetermined task.

[0028] The method may also provide a library component which provides a library of routines that may be called by other components. Such a library component facilitates such customi

Problems solved by technology

However, solving such problems is computationally intensive, making it nigh impossible to solve realistic problems in acceptable time.

The present difficulty of the method stems from a number of issues with current DSP tools.

It has therefore been a problem to solve such problems involving uncertainty, now and in the future, in an acceptable time or at all.

There is an issue of how to represent uncertain future states of the world.

Here lies the problem: too few scenarios and the solution is not robust, too many and the problem cannot be solved in reasonable time.

This is particularly p

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