How to Write Assumptions of Mathematical Modeling Model

How to write mathematical modeling model assumptions is introduced as follows:

Model hypothesis writing:

1. Pay attention to the main factors of the problem and ignore the secondary factors;

2. Simplify the problem we want to solve and make the model more reasonable;

3. The importance of model hypothesis-the success or failure, advantages and disadvantages of relational modeling.

Notes on writing:

1. It is assumed that it should be expressed in strict and exact language, and it cannot cause ambiguity and mislead people;

2. In order to simplify the model, the proposed assumptions are necessary to establish the model. Don't write irrelevant assumptions, there is a strong causal relationship between the final result and the result, otherwise it will disturb the reader's thinking;

3. Assumptions should be verified;

① Make common sense assumptions according to the nature of the problem;

② By observing the image of the given data, the function form of the variable is obtained;

(3) Compared with references, the relevant contents of references should be pointed out;

The main steps of mathematical modeling:

First, model preparation.

First of all, we should understand the actual background of the problem, clarify the modeling purpose, collect all kinds of necessary information, and try our best to understand the characteristics of the object.

Second, the model hypothesis.

According to the characteristics of the object and the purpose of modeling, it is necessary and reasonable to simplify and assume the problem with accurate language.

A key step in the model. If we consider all the factors of the problem, this is undoubtedly a brave but clumsy method, so

Excellent modelers can give full play to their imagination, insight and judgment, and are good at distinguishing priorities. Furthermore, in order to simplify the processing methods, they should

Try to linearize and homogenize the problem.

Third, the model composition.

According to the assumptions made, the causal relationship of the object is analyzed, and various quantities are constructed by using the internal laws of the object and appropriate mathematical tools.

Equation relations or other mathematical structures. At this time, we will enter the vast world of applied mathematics, where high numbers and old probabilities are used.

There are many lovely children under people's knees, such as graph theory, queuing theory, linear programming, game theory and so on. It's really great.

Big country, there is a hole in the sky. But we should remember that the purpose of establishing mathematical model is to make more people understand and apply it, so it is necessary to establish mathematical model.

The simpler, the more valuable.

Fourth, the model is solved.

We can use all kinds of traditional and modern mathematical methods, especially computer technology, such as solving equations, drawing pictures, proving theorems, logical operations, numerical operations and so on. The solution of a practical problem often needs complicated calculation, and in many cases, the operation of the system needs calculation.

Computer simulation, so programming ability and familiarity with mathematical software packages are very important.

Fifth, model analysis.

Mathematically analyze the model solution. "Cross as a ridge side into a peak, far and near? Quot, can you make a model result?

Careful and accurate analysis determines whether your model can reach a higher level. Also remember, in either case, you need to make mistakes.

Analysis and data stability analysis.