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This paper considers a numeric algorithm to solve the equation \begin{align*}y(t)=f(t)+\int^t_0 g(t-\tau)y(\tau)\,d\tau \end{align*} with a kernel $g$ andinput $f$ for $y$. In some applications we have a smooth integrable kernel butthe input $f$ could be a generalised function, which could involve the Diracdistribution. We call the case when $f=\delta$, the Dirac distribution centredat 0, the fundamental solution $E$, and show that $E=\delta+h$ where $h$ isintegrable and solve \begin{align*} h(t)=g(t)+\int^t_0 g(t-\tau)h(\tau)\,d\tau\end{align*} The solution of the general case is then \begin{align*}y(t)=f(t)+(h*f)(t) \end{align*} which involves the convolution of $h$ and $f$.We can approximate $g$ to desired accuracy with piecewise constant kernel forwhich the solution $h$ is known explicitly. We supply an algorithm for thesolution of the integral equation with specified accuracy.

An explicit numerical algorithm to the solution of Volterra integral equation of the second kind