Home Site Statistics  |   Contact  |   About Us       Tuesday, September 21, 2021   

Pj0182295- Back to Home



Skip Navigation Links.

   Skip Navigation LinksHOME ›  AREAS OF EXPERTISE ›   Nonlinear Systems  ›  ~ Newton-Raphson


METHODS
Newton-Raphson Method

The Newton-Raphson method is the most popular method for solving nonlinear equations. This method is, in general, very suitable for its convenience and computation efficiency.

The Newton-Raphson method uses the following iteration relation:

xn + 1 = xn - f (xn) / f '(xn)

Where f '(xn) is the first derivative of function f(x).

Starting with the initial value, xn, it is possible to find the next guess, xn + 1, by using the above iteration relation. This process can be repeated until the solution within a given tolerance is found.













Other Implementations...


Object-Oriented Implementation
Graphics and Animation
Sample Applications
Ore Extraction Optimization
Vectors and Matrices
Complex Numbers and Functions
Ordinary Differential Equations - Euler Method
Ordinary Differential Equations 2nd-Order Runge-Kutta
Ordinary Differential Equations 4th-Order Runge-Kutta
Higher Order Differential Equations
Nonlinear Systems
Numerical Integration
Numerical Differentiation







Consulting Services - Back to Home
Home

Home Math, Analysis,
  expertise..."

EIGENVALUE SOLUTIONS...
Eigen Inverse Iteration
Rayleigh-Quotient Method
Cubic Spline Method

 

Applied Mathematical Algorithms

Home A complex number z = x + iy, where...

Complex Functions
Home Non-linear system methods...

Non Linear Systems
Home Construction of differentiation...

Differentiation
Home Consider the function where...

Integration
 
About Us

KMP Engineering is an independent multidisciplinary engineering consulting company specializing in mathematical algorithms.

  ABOUT
  SITE STATISTICS
Contact Us

KMP ENGINEERING
2461 E Orangethorpe Ave Fullerton, CA 92631 USA info@keystoneminingpost.com
Site Map

   Home
   Areas of Expertise
   Reference Items
   Managed Services
   Login

Mining & Software Engineering

Home
Since 2006 All Rights Reserved  © KMP Engineering LINKS | PRIVACY POLICY | LEGAL NOTICE