Numerical Solutions to Linear Equations

We will discuss 2 methods :


Gauss-Seidel Method

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Jacobi’s Iteration Method

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Numerical Solutions of Non-Linear Algebraic Equations

Many real world applications involve non-linear equations, such as {x cos (x) - 1 = 2}. In most of the cases, such equations cannot be solved analytically. Numerical methods discussed below come to our rescue. These methods provide an approximate answer to the desired level of accuracy.


Bisection Method

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Newton-Raphson Method

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Regula Falsi/ False Position/ Modified Secant Method

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Secant Method

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