Mathematical modeling method capable of utilizing multi-dimensional space of computer

Abstract

The invention discloses a mathematical modeling method capable of utilizing the multi-dimensional space of a computer. The mathematical modeling method comprises the following steps: receiving and analyzing data collected by a computer, and carrying out discretization; determining space dimensionality; separately filling each piece of dimension data of a multidimensional space into the corresponding rank of a determinant; simplifying the determinant through a linear algebra theory, and establishing a function relationship; substituting discrete data into a function to carry out checkout operation; if a checkout error is too large, returning to reestablish the function relationship; if retrying reaches a specified number of times, returning to determine the proper space dimensionality again; and simplifying a mathematical relationship among all dimensions to enable each dimension to be singly linearized. The method is simple, effective, convenient, quick, high in accuracy and high in operability and is favorable for the programming and the operation of the computer.

Description

technical field [0001] The invention relates to the field of computer modeling, in particular to a mathematical modeling method utilizing computer multi-dimensional space. Background technique [0002] A mathematical model is a kind of simulation, which is an abstract and concise description of the essential attributes of an actual subject with mathematical symbols, mathematical formulas, programs, graphics, etc. It may explain certain objective phenomena, or predict future development laws, or It can provide an optimal strategy or a better strategy in a certain sense for controlling the development of a certain phenomenon. Mathematical models are generally not a direct copy of real problems. Its establishment often requires people to observe and analyze real problems in depth and subtlety, and people need to use various mathematical knowledge flexibly and skillfully. The process of abstracting and extracting mathematical models from practical subjects by applying knowledge...

AI Technical Summary

Problems solved by technology

[0004] At present, most computer modeling methods are complicated, and it is unlikely to be truly transformed into computer programming. The simulation accuracy is not high, the function relationship is not accurate, and most of them stay at the theoretical stage.

Moreover, the existing mathematical modeling methods for multi-dimensional spaces are also very complicated, and cannot be programmed and run in the actual modeling process.