{"title":"两类具有非局部边界条件的分数阶偏微分方程的Pell小波优化方法","authors":"Sedigheh Sabermahani , Parisa Rahimkhani , Yadollah Ordokhani","doi":"10.1016/j.jocs.2025.102655","DOIUrl":null,"url":null,"abstract":"<div><div>Studying initial value problems with nonlocal conditions is important because they have applications in physics and other areas of applied mathematics. This manuscript presents a hybrid scheme for solving two classes of fractional partial differential equations with nonlocal boundary conditions (N-BCs), namely fractional-order reaction–diffusion equations (F-RDEs), and fractional-order hyperbolic partial differential equations (FH-PDEs). We develop a new computational technique that employs Pell wavelet functions. To this end, we present a derivative pseudo-operational matrix and an extra pseudo-operational matrix for integral and Riemann–Liouville fractional integration and design the desired method with the help of optimization and collocation methods. The systems resulting from this technique are solved using the FindRoot package in Mathematica software. We also perform several numerical experiments to validate the accuracy and superiority of the suggested strategy.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"90 ","pages":"Article 102655"},"PeriodicalIF":3.1000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pell wavelet-optimization procedure for two classes of fractional partial differential equations with nonlocal boundary conditions\",\"authors\":\"Sedigheh Sabermahani , Parisa Rahimkhani , Yadollah Ordokhani\",\"doi\":\"10.1016/j.jocs.2025.102655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Studying initial value problems with nonlocal conditions is important because they have applications in physics and other areas of applied mathematics. This manuscript presents a hybrid scheme for solving two classes of fractional partial differential equations with nonlocal boundary conditions (N-BCs), namely fractional-order reaction–diffusion equations (F-RDEs), and fractional-order hyperbolic partial differential equations (FH-PDEs). We develop a new computational technique that employs Pell wavelet functions. To this end, we present a derivative pseudo-operational matrix and an extra pseudo-operational matrix for integral and Riemann–Liouville fractional integration and design the desired method with the help of optimization and collocation methods. The systems resulting from this technique are solved using the FindRoot package in Mathematica software. We also perform several numerical experiments to validate the accuracy and superiority of the suggested strategy.</div></div>\",\"PeriodicalId\":48907,\"journal\":{\"name\":\"Journal of Computational Science\",\"volume\":\"90 \",\"pages\":\"Article 102655\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1877750325001322\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877750325001322","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Pell wavelet-optimization procedure for two classes of fractional partial differential equations with nonlocal boundary conditions
Studying initial value problems with nonlocal conditions is important because they have applications in physics and other areas of applied mathematics. This manuscript presents a hybrid scheme for solving two classes of fractional partial differential equations with nonlocal boundary conditions (N-BCs), namely fractional-order reaction–diffusion equations (F-RDEs), and fractional-order hyperbolic partial differential equations (FH-PDEs). We develop a new computational technique that employs Pell wavelet functions. To this end, we present a derivative pseudo-operational matrix and an extra pseudo-operational matrix for integral and Riemann–Liouville fractional integration and design the desired method with the help of optimization and collocation methods. The systems resulting from this technique are solved using the FindRoot package in Mathematica software. We also perform several numerical experiments to validate the accuracy and superiority of the suggested strategy.
期刊介绍:
Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory.
The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation.
This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.
Computational science typically unifies three distinct elements:
• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous);
• Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems;
• Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).