Algorithm and Convergence Analysis of Absolute Value Equation Based on Hybrid Network

Abstract

Abstract In view of the shortcomings of structured networks that it is difficult to manage complex shapes and unstructured networks cannot calculate the boundary layer viscous flow, an implicit algorithm based on mixed network points is proposed to solve the problem of successful calculation and high viscosity. Comparing absolute values is a difficult NP problem. It is caused by the interval problem and has a wide range of applications in many practical problems, such as: situation problems, semi-monitored and unprotected classification problems, and bag feasibility problems. When solving linear programming, double matrix strategy, quadratic programming and other problems, they must be converted into linear complementarity problems for processing, and linear complementarity problems can be summarized as absolute value equations. This article mainly introduces the smoothing Newton method of absolute value equation and the conjugate gradient algorithm of absolute value equation. This paper uses a hybrid network to analyze the algorithm and convergence of the absolute value equation, and establishes a potential mathematical model. The model is solved by the smoothing Newton method of the absolute value equation and the conjugate gradient algorithm of the absolute value equation, and the algorithm and convergence analysis results of the absolute value equation based on the hybrid network are evaluated, and the model is revised using historical data to improve The algorithm of the absolute value equation and the accuracy of the assessment of convergence analysis results. The experimental results in this paper show that the smoothing Newton method of the absolute value equation and the conjugate gradient algorithm of the absolute value equation increase the efficiency of the algorithm and convergence analysis of the absolute value equation by 23%, and reduce the false alarm rate and the false alarm rate. Finally, by comparing the experimental data analysis of the management strategy of sports services and the analysis of the reconstruction of sports services, the system illustrates the influence of artificial intelligence on the analysis of sports services’ management strategies.