Exponential Collocation Method for Solutions of Singularly Perturbed Delay Differential Equations

المؤلفون المشاركون

Yüzbaşı, Şuayip
Sezer, Mehmet

المصدر

Abstract and Applied Analysis

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-08-28

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الرياضيات

الملخص EN

This paper deals with the singularly perturbed delay differential equations under boundary conditions.

A numerical approximation based on the exponential functions is proposed to solve the singularly perturbed delay differential equations.

By aid of the collocation points and the matrix operations, the suggested scheme converts singularly perturbed problem into a matrix equation, and this matrix equation corresponds to a system of linear algebraic equations.

Also, an error analysis technique based on the residual function is introduced for the method.

Four examples are considered to demonstrate the performance of the proposed scheme, and the results are discussed.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Yüzbaşı, Şuayip& Sezer, Mehmet. 2013. Exponential Collocation Method for Solutions of Singularly Perturbed Delay Differential Equations. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-476038

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Yüzbaşı, Şuayip& Sezer, Mehmet. Exponential Collocation Method for Solutions of Singularly Perturbed Delay Differential Equations. Abstract and Applied Analysis No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-476038

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Yüzbaşı, Şuayip& Sezer, Mehmet. Exponential Collocation Method for Solutions of Singularly Perturbed Delay Differential Equations. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-476038

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-476038