Client Account:   Login
Home Site Statistics   Contact   About Us   Sunday, March 26, 2017

users on-line: 2 | Forum entries: 6   
j0182018 - Back to Home
   Skip Navigation LinksHOME › AREAS OF EXPERTISE › Curve Fitting Solutions

Curve Fitting Solutions

Data obtained from experiments usually contain significant variations due to measurement errors. The purpose of curve fitting is to find a smooth curve that on average fits the data points.

There is a distinction between interpolation (see menu under)  "Interpolation Solutions", and curve fitting. Interpolation can be regarded as a special case of curve fitting in which the function must go exactly through the data points.

Curve fitting is applied to data that contain gaps, usually because of measurement errors and tries to find the best fit to a set of given data. The curve does not necessarily pass through all the given data points. As example of utilization at Keystone Mining Post we show the Straight Line Fit Method and a Polynomial Curve Fitting Method for distinct order-polynomials.

Skip Navigation Links.

Home Skip Navigation Links
   Algorithms, Graphics, Vectors,
            implementation techniques.
   Mineral Transactions info,
            sales, agreements...
   Numerical Modeling services
            mineral environment.
   Want to know about Mining?
            basic knowledge here...
   What are Mineral Commodities?
            our elementary charts.
   Math, Analysis and More...
            our expertise in the matter.


Platform Implementation

Home Algorithm Implementation
We design applications for different environments and platforms...
        Home Graphics and Animation
The graphics classes in Smalltalk were designed...
        Home Optimization Algorithms
An optimization problem is a numerical problem...
        Home Vectors and Matrices
The concise notation introduced in linear algebra for vector...

2017 © Keystone Mining Post  |   2461 E. Orangethorpe Av., Fullerton, CA 92631 USA  |