Abstract

Abstract The article uses the Spss statistical analysis software to establish a multiple linear regression model of short-term stock price changes in domestic agricultural listed companies. It uses a stable time series based on the ARMA model for stable agricultural value-added, fiscal expenditure and market interest rates. The regression method is used to study its impact on the stock price index. Compared with the existing stock forecasting methods, this method has simple data collection and no specific requirements for data selection, and the prediction results have a high degree of fit. Therefore, this method is suitable for most stocks.

Highlights

  • In the traditional art design process, if designers have inspiration and ideas, they must use tools to transfer their design to reality

  • In order to optimise the standard genetic algorithms (GAs) and improve some existing shortcomings, this paper uses a design model of illustration art, and the model is based on cluster optimisation and operator GA, and the model is simulated through more innovative experiments [5]

  • In order to verify the feasibility of the algorithm, the unimodal and multimodal functions are used to improve the standard GA and the improvements proposed in this paper

Read more

Summary

Introduction

In the traditional art design process, if designers have inspiration and ideas, they must use tools to transfer their design to reality. Because computers provide the level of technology needed in the field of art creation, they can help designers develop their inspirations well, and they can use less time to realise their inspirations [1]. Tan and Albarakati Applied Mathematics and Nonlinear Sciences 2021(aop) 1–11 forward the theory that genetic algorithms (GAs) can be used in the improvement and optimisation of design, and explains the theoretical framework of the entire design [2]. His design system can be used for the production of vehicles and seats. In order to optimise the standard GA and improve some existing shortcomings, this paper uses a design model of illustration art, and the model is based on cluster optimisation and operator GA, and the model is simulated through more innovative experiments [5]

A solution to the first type of Volterra integral equation
The second type of linear Volterra integral equation
The solution of the second type of linear Volerra integral equation
Nonlinear Volterra integral equations of the second kind
Solutions to the convolution volterra integral equation of the second kind
Newton-Cotes integral quadrature formula
Compound trapezoidal formula
Unknown function expansion method
Expansion of integral kernel series
Numerical solution of nonlinear Volterra integral equation
Algorithm simulation
Case analysis
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call