Numerical methods
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Review of Matrices and Determinants
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Cramers Rule
Gauss Elimination Method
Gauss-Jordan Elimination Method
Doolittle’s Method
Crout’s Method
Cholesky’s Method
Gauss-Jacobi’s Method
Jacobi Method
Gauss-Seidel Method
Roots of Non-linear Equations
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Bisection Method
Fixed Point Iteration
Newton-Raphson Method
Secant Method
Numerical Differentiation & Integration
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Gauss Quadrature Rule of Integration
Richardson’s Extrapolation
Romberg Integration
Simpson's 1/3 Rule
Trapezoidal Rule
Solving Equations Using Excel
Bisection Method
False Position Method
Newton-Raphson Method
Secant Method
Newton-Raphson Method
also known as the
Newton’s method
named after Isaac Newton and Joseph Raphson
is a method for finding successively better approximations to the
roots
(or zeroes) of a
real
-valued
function