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MERCURY.LZH
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LSQRFIT.EKA
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Text File
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1992-03-24
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582b
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21 lines
; This example demonstrates the ability to find
; values for constants in a function that make the
; function best fit empirical data. Because the equation
; file includes a LEVEL 0 statement, Mercury will
; perform a Least Squares Fit to find the function (of
; the required form) that best matches the points (x, f(x)) given.
; In this example, the function is
; f(x) := EXP(a * x^N + B)
; where the ideal solution is close to a = 0.25, b = 0.15 and N = 1.5.
f(x) := EXP(A x^N + B)
f(1) = 1.49
f(2) = 2.35
f(3) = 4.26
f(4) = 8.59
f(5) = 19.01
LEVEL 0