Solution of Nonlinear Volterra Integral Equations with Weakly Singular Kernel by Using the HOBW Method

Joint Authors

Ali, Mohamed R.
Mousa, Mohamed M.
Ma, Wen-Xiu

Source

Advances in Mathematical Physics

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-02-03

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Physics

Abstract EN

We present a new numerical technique to discover a new solution of Singular Nonlinear Volterra Integral Equations (SNVIE).

The considered technique utilizes the Hybrid Orthonormal Bernstein and Block-Pulse functions wavelet method (HOBW) to solve the weakly SNVIE including Abel’s equations.

We acquire the HOBW implementation matrix of the integration to derive the procedure of solving these kind integral equations.

The explained technique is delineated with two numerical cases to demonstrate the benefit of the technique used by us.

At last, the exchange uncovers the way that the strategy utilized here is basic in usage.

American Psychological Association (APA)

Ali, Mohamed R.& Mousa, Mohamed M.& Ma, Wen-Xiu. 2019. Solution of Nonlinear Volterra Integral Equations with Weakly Singular Kernel by Using the HOBW Method. Advances in Mathematical Physics،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1118882

Modern Language Association (MLA)

Ali, Mohamed R.…[et al.]. Solution of Nonlinear Volterra Integral Equations with Weakly Singular Kernel by Using the HOBW Method. Advances in Mathematical Physics No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1118882

American Medical Association (AMA)

Ali, Mohamed R.& Mousa, Mohamed M.& Ma, Wen-Xiu. Solution of Nonlinear Volterra Integral Equations with Weakly Singular Kernel by Using the HOBW Method. Advances in Mathematical Physics. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1118882

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1118882