 # Numerical Analysis and Methods

## Horner’s Method

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Introduction If you love polynomials, you will love this article. We all know how to evaluate a polynomial at a given point i.e. say you got...

## Rosenbrock Function Minimization

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Introduction In this article, we present different approaches on minimizing the Rosenbrock function, namely thru Newton, Damped Newton and Steepest Descent. The Rosenbrock Function Rosenbrock’s function...

## how i invert a matrix without inverting it ^^

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Introduction In this article, we show you how to invert a matrix without going through the burdens of inversions, i.e. without doing operations, which is required...

## Newton Method on matrix nonlinear systems

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Introduction In a previous article of the algorithmic chef (a.k.a me !), I presented Newton’s method. In this one, I’ll demonstrate it’s applicability on nonlinear systems,...

## Finite Difference Approximation

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Definition of a derivative This is not an article, but rather a friendly post to remind the interested reader of the finite difference method. Remember back...

## Secant method: More Approximations with less Information

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Secant Method: What you need to know Secant’s method and its MATLAB implementation are detailed in this article. We try to connect the dots between both...

## Newton method: Approximation is key

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Newton Method: What you need to know Newton method and its MATLAB implementation are detailed in this article. We build an intuitive approach to help you...

## Bisection Method: Squeeze that root !

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Bisection Method: What you need to know Bisection method and its MATLAB implementation are detailed in this article. In addition, we give a bisection method convergence...

## Fixed Point Iteration: Solving “almost” any Equation !

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Fixed Point Method: What you need to know In this article, I will clarify how fixed point iteration works by example. This article could be considered...