Client Account:   Login
Home Site Statistics   Contact   About Us   Sunday, May 27, 2018

users on-line: 2 | Forum entries: 6   
j0182084- Back to Home
   Skip Navigation LinksHOME › AREAS OF EXPERTISE › Interpolation Applications

Interpolation Solutions

In science and engineering, when we have a number of data points obtained by sampling and experimentation, it is possible to construct a function that closely fits those data points. Interpolation can be regarded as a special case of curve fitting, in which the function must go exactly through every single data point.

Estimating the size of a mineral field available for extraction using exploration results, calculating the estimated amount of mineral contained within the field are the domain of reserve mineral estimation. Numerical interpolation algorithms provide a way to maximize the knowledge of known ore occurrences and the method of their formation and determine potential areas where the particular class of ore deposit being sought may exist.

There are various techniques for the solution of interpolation problems and here at Keystone Mining Post will show methods using Cubic Spline and Newton Divided Difference interpolations. These methods are based on Taylor series expansion of a function of f(x) about a specific value of x0.

Skip Navigation Links.


Home Math, Analysis & More,
  our established expertise..."

  Eigen Inverse Iteration
  Rayleigh-Quotient Method

  Cubic Spline Method
  Newton Divided Difference


Applied Mathematical Algorithms

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

Complex Functions
     Home Non-Linear Systems
Non-linear system methods...

Non Linear Systems
     Home Differentiation
Construction of differentiation...

     Home Integration
Consider the function where...


2006-2018 © Keystone Mining Post  |   2461 E. Orangethorpe Av., Fullerton, CA 92631 USA  |