The programming method of MATLAB language for solving AI-based digital health problems

被引：0

作者：

Jiang S. ^{[1
]}

机构：

[1] School of Statistics and Mathematics, Henan Finance University, Zhengzhou

来源：

Journal of Commercial Biotechnology | 2022年 / 27卷 / 01期

关键词：

Calculus; digital health problems; Fractional order differential equation; Jacobi polynomial; Linear Algebra; MATLAB; Polynomial approximation; Problem solving; Program design;

D O I：

10.5912/jcb1084

中图分类号：

学科分类号：

摘要：

In recent years, the fractional calculus equation has been widely used in many application disciplines, and its numerical solution accuracy and efficiency requirements are also higher and higher. MATLAB is used to solve mathematical problems has been very common, can quickly and intuitively solve the equation. Therefore, we will study the programming method of MATLAB language to solve the linear algebra problem of calculus. According to the general form of fractional order linear constant coefficient multinomial differential equation, the equation model is established. The shifted Jacobi polynomials are deformed by definition and linear algebra theory. Using the function approximation theory, the numerical calculation algorithm of calculus is designed. Use C++ to call the function encapsulation in MATLAB to complete the program design of solving calculus linear algebra problems. Through the actual calculation example, it is verified that the method used in the study can reach 10-4, which meets the solution precision and can be used to solve practical problems. © 2022 ThinkBiotech LLC. All rights reserved.

引用

页码：151 / 159

页数：8

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