Cubic Spline System

Description:Cubic spline system program. Suppose we have empirical data {(x1, y1), (x2, y2), …, (xn, yn)} that was obtained from some experiment. We have strong reason to believe y is related to x by some smooth function, but we do not know what that function is. We would like to find a function that can be used to approximate values of y for given values of x between the given data points. There are many ways to approach this problem, but the three most common are least squares, Lagrange interpolation, and cubic splines. Each of these methods has advantages and limitations compared to the other two. Includes PDF documentation.
Author:Merve Newton:
Downloaded file size:191,581 bytes
Size on calculator:4 KB
User rating:Not yet rated (you must be logged in to vote)
Primary category:Math/Misc
File date:2017-04-30 23:02:45
Source code:Not included
Download count:480
Version history:2017-04-30: Added to site
Archive contents:
  Length      Date    Time    Name
---------  ---------- -----   ----
    78093  2017-04-30 22:27   Appendix.pdf
   136100  2017-04-30 22:27   INSTRUCTIONS.pdf
     3371  2011-07-29 15:57   SPLINE.hp
---------                     -------
   217564                     3 files
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