Least-squares line fitting: Difference between revisions
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A WASSERMANN (talk | contribs) No edit summary |
A WASSERMANN (talk | contribs) No edit summary |
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<jsxgraph width="600" height="600"> | <jsxgraph width="600" height="600"> | ||
var brd = JXG.JSXGraph.initBoard('jxgbox',{boundingbox:[-5,5,5,-5], keepaspectratio:true, axis:true}); | var brd = JXG.JSXGraph.initBoard('jxgbox',{boundingbox:[-5,5,5,-5], keepaspectratio:true, axis:true}); | ||
var i, p = [], angle, xr, yr, delta = 0. | var i, p = [], angle, xr, yr, delta = 0.0; | ||
// Random points are constructed which lie roughly on a line | // Random points are constructed which lie roughly on a line | ||
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brd.create('circle',[ [xm,ym], r]); | brd.create('circle',[ [xm,ym], r]); | ||
alert([xm,ym,r].toString()); | |||
/* | /* | ||
// Having constructed the points, we can fit a line described | // Having constructed the points, we can fit a line described | ||
Revision as of 11:17, 7 November 2010
This little JXSGraph application finds the line - described by homogeneous coordinates [a,b,c] - that minimizes
- [math]\displaystyle{ \sum_{i=1}^n (ax_i+by_i+cz_i)^2. }[/math]
Coming soon...
