Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: The main purpose of this work is to present cubic non-polynomial spline approximation method for solving Robin-type singularly perturbed reaction-diffusion problems.
Results: The solution domain is first discretized using a piecewise mesh. The process begins by defining the cubic non-polynomial spline function and calculating its derivatives. These derivatives are then transformed into difference approximations, forming a linear system of algebraic equations in the form of a three-term recurrence relation, which is solved using an elimination algorithm. The stability and consistency of the method are analyzed, ensuring convergence. Numerical model examples are used to validate the proposed method, and the results are compared with those from other methods found in the literature. The maximum absolute error and the order of convergence for each example demonstrate the effectiveness and core contribution of the method.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11863490 | PMC |
http://dx.doi.org/10.1186/s13104-025-07117-2 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!