Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Journal Article
Publisher : International Journal of Nonlinear Sciences and Numerical Simulation
Source : International Journal of Nonlinear Sciences and Numerical Simulation, 19(3-4), pp. 289-297 (2018)
Url : https://www.degruyter.com/document/doi/10.1515/ijnsns-2017-0038/html
Campus : Chennai
School : School of Engineering
Department : Mathematics
Year : 2018
Abstract : In this article, the numerical solutions of stochastic Volterra–Fredholm integral equations have been obtained by hybrid Legendre block-pulse functions (BPFs) and stochastic operational matrix. The hybrid Legendre BPFs are orthonormal and have compact support on [0,1). The numerical results obtained by the above functions have been compared with those obtained by second kind Chebyshev wavelets. Furthermore, the results of the proposed computational method establish its accuracy and efficiency.
Cite this Research Publication : S. Saha Ray, S. Singh, “Numerical Solutions of stochastic Volterra-Fredholm integral equations by Hybrid Legendre Block-Pulse functions”, International Journal of Nonlinear Sciences and Numerical Simulation, 19(3-4), pp. 289-297. (2018)