Andere Kunden interessierten sich auch für
![Volterra Integral Equations Using Non Polynomial Spline Functions]( "Volterra Integral Equations Using Non Polynomial Spline Functions")
Volterra Integral Equations Using Non Polynomial Spline Functions39,99 €![Fredholm Type Integral Equations]( "Fredholm Type Integral Equations")
Fredholm Type Integral Equations26,99 €![Computational Methods for Solving System of Volterra Integral Equation]( "Computational Methods for Solving System of Volterra Integral Equation")
Computational Methods for Solving System of Volterra Integral Equation48,99 €![Modified nonlinear CG algorithms with application in Neural Networks]( "Modified nonlinear CG algorithms with application in Neural Networks")
Modified nonlinear CG algorithms with application in Neural Networks44,99 €![On System of Volterra Integro-Fractional Differential Equations]( "On System of Volterra Integro-Fractional Differential Equations")
On System of Volterra Integro-Fractional Differential Equations56,99 €![On Fuzzy Linear Integro-Deffrential Equations Of Volterra Type]( "On Fuzzy Linear Integro-Deffrential Equations Of Volterra Type")
On Fuzzy Linear Integro-Deffrential Equations Of Volterra Type44,99 €![Modified Medical Mathematical Model for Tumor Treatment]( "Modified Medical Mathematical Model for Tumor Treatment")
Modified Medical Mathematical Model for Tumor Treatment39,99 €
In this book, we proposed new numerical algorithms for solving linear Volterra-Fredholm integral equation of the second kind. The numerical solution of this equation is obtained by three ways: The First, using quadrature methods include "trapezoidal rule, Simpson's 1/3 rule, Simpson's 3/8 rule, Boole's rule, and Weddle's rule ". The second, Richardson's extrapolation method is used to modify the results that obtained by using trapezoidal rule. Finally, Lagrange polynomials include "original Lagrange polynomial, modified Lagrange polynomial, and barycentric Lagrange polynomial" are used. Moreover, several examples are presented to demonstrate the applicability, accuracy and efficiency of those methods. Also, for Lagrange polynomials the convergence analysis contains "The error and the bounds of error" are discussed. Additionally, the condition number is obtained. At the end of each method we give new algorithms and programs are developed and written in MATLAB R2012a
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.