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 ...
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 ...
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 ...
Consider the function f : R → R defined by f(x) = 0.25 cos(2x)^2 − x^2. Implement the methods of computing a root of the equation f(x) = 0 based on the first-order approximation of the function. 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 ...
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 ...
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