Character string based mathematical model representation and operation method

Abstract

Disclosed is a character string based mathematical model representation and operation method. The method includes the following steps of determining writing rules of model variable nomination and model representation; acquiring model relational expression, analyzing specific meaning expressed by each item of the expression according to expression rules, determining all variables in the model relational expression, and performing identification and recognition in an index serial number form; performing index initialization operation supporting global variables and parametric variables of simulation calculation according to model analysis results; and constructing a model operation matrix, filling initialization indexes in the model operation matrix, and analyzing the model relational expression. Modeled character strings are formulated to define the model variables and the writing rules so that a model can be constructed for a user to provide efficient and common expression methods; and by means of a regular expression technology, the model can be accurately and effectively analyzed.

Description

technical field [0001] The invention belongs to the application field of computer technology, and in particular relates to the model representation aspect of a model-driven decision support system. Background technique [0002] With the development of information technology and modern simulation technology, the practical application ability of decision support system (DSS) has been greatly improved, and it has been widely used in government agencies, enterprises and institutions. The data and models provided by the system Make decisions with knowledge and improve decision-making efficiency. [0003] Because mathematical models play a very important role in macro- and micro-economic decision-making, the representation and construction of models in DSS are the most important components. The traditional model representation and construction mainly use a collection of pre-established models, and use computer description language to describe, although logical methods, structured...

AI Technical Summary

Problems solved by technology

The traditional model representation and construction mainly use a collection of pre-established models, and use computer description language to describe, although logical methods, structured methods, data-based methods and object-oriented methods are constantly introduced into In the process of model integration, but the idea of ​​its model representation is still using a programmatic method

[0004] The advantage of this method is that it is simple and clear, and the disadvantage is that when the model changes, the corresponding program needs to be modified. The reusability of the model is always oriented to developers, and the requirements for developers are high. It is necessary to understand the specifics of the mathematical model formula. Meaning, and proficient in various numerical analysis algorithms

In addition, model methods and objects usually have different structures and forms of expression. In actual work, decision makers or expert users often need to rely on developers to build and adjust models. The utilization rate of the model and the flexibility of the system are not high. The built model is usually difficult to adapt to changes in the external environment, and it is only for the analysis and solution of problems in this field, which greatly limits the flexibility and reusability of the model

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