Characterizing the spiking statistics of neurons receiving noisy synaptic input is a central problem in computational neuroscience. Monte Carlo approaches to this problem are computationally expensive ...

Implemented PA = LU factorization, Bisection, Newton Raphson, Secant Methods and Cholesky Decomposition. In this project I will use 2 functions.Bisection, Newton Raphson and Secant Methods are ...

1 Department of Mathematics and Computer Science, Delta State University, Abraka, Nigeria. 2 Department of Mathematics, University of Ilorin, Ilorin, Nigeria. Higher order boundary value problems in ...

Parabolic partial differential equations (PDEs) are fundamental in modelling a wide range of diffusion processes in physics, finance and engineering. The numerical approximation of these equations ...

A nonlinear problem of mean-square approximation of a real nonnegative continuous function with respect to two variables by the modulus of double Fourier integral dependent on two real parameters with ...

For a square matrix ( A ), an eigenvalue ( \lambda ) and a corresponding eigenvector ( v ) are defined by the equation: [ Av = \lambda v ] The eigenvalue ( \lambda ) is a scalar that scales the ...

Gamma distributed delay differential equations (DDEs) arise naturally in many modelling applications. However, appropriate numerical methods for generic gamma distributed DDEs have not previously been ...