
This course exposes learners to the numerical methods which are techniques that used to approximate solutions to mathematical problems that cannot be solved exactly. They are especially useful for solving equations, differential equations, and optimization problems where analytical solutions are difficult or impossible to obtain. Numerical methods are widely used in various fields such as engineering, physics, finance, and computer science. The suggested learning hours are 40 hours. Learners are required to complete all the tasks in two topics, which are LU Decomposition: Crout Method and LU Decomposition: Doolitle Method. In the end of this course, learners will be able to solve the linear simultaneous equations by using LU Decomposition method.
The Crout method is a variant of LU Decomposition used for solving systems of linear equations. It decomposes a given square matrix A into the product of a lower triangular matrix L and an upper triangular matrix U, but unlike standard LU Decomposition, Crout method computes L such that L is lower triangular and U is upper triangular with 1's on its diagonal.
The Doolittle method is a numerical technique used for solving systems of linear equations. It is a form of LU Decomposition, where the coefficient matrix A of a system Ax = b is decomposed into the product of a lower triangular matrix L and an upper triangular matrix U. This method simplified the process of solving linear systems by breaking down the problem into simpler steps.

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