The Gaussian Elimination method is an example of a Direct Method of solving a set of linear
algebraic equations.
The residual of an iterative method is the difference between the exact solution of the
problem and the numerical solution.
The Bisection Method can be employed to find the root(s) of continuous and non-continuous
functions.
Point-Jacobi and Gauss-Seidel methods provide an approximate solution to a set of linear
algebraic equations within a specified level of accuracy.
The Gauss-Seidel Iterative method is approximately twice as fast at obtaining convergence
than the Point-Jacobi Iterative method.
The residual of an iterative method is a measure of the numerical accuracy.
The Bisection Method can be employed to find the root(s) of continuous functions.
The Gaussian Elimination method is an example of an Indirect Method of solving a set of
linear algebraic equations.
Point-Jacobi and Gauss-Seidel methods provide an exact solution to a set of linear algebraic
equations.
The Point-Jacobi Iterative method is approximately twice as fast at obtaining convergence
than the Gauss-Seidel Iterative method.