org.das2.util.DasMath

DasMath( )

Creates a new instance of DasMath

biggerOf

biggerOf( double x1, double x2 ) → double

Parameters

x1 - a double
x2 - a double

Returns:

double

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exp10

exp10( double x ) → double

Parameters

x - a double

Returns:

double

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exp10( int x ) → double

findex

findex( double[] datax, double[] x ) → double

Returns the "floating point indeces" of x within array datax. A floating point index (or "findex") indicates the indeces of the points that bracket and the weights of each bracketing point to use. A findex of 4.5 indicates that x is half-way between index 4 and 5, so equal weights should be used. floor( findex ) is the "left" bracket, ceil(findex) is the "right" bracket, and fp( findex ) is the weight for the right bracket. See interpolate for an example of its use.

Parameters

datax - a double[]
x - a double[]

Returns:

double[]

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findex( double[] datax, double x, int guess ) → double

gcd

gcd( double[] A, double error ) → double

Parameters

A - a double[]
error - a double

Returns:

double

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interpolate

interpolate( double[] datay, double findex ) → double

Interpolate just one point

Parameters

datay - a double[]
findex - a double

Returns:

double

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interpolate( double[] datay, double[] findex ) → double

log10

log10( double x ) → double

Parameters

x - a double

Returns:

double

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main

main( java.lang.String[] args ) → void

Parameters

args - a java.lang.String[]

Returns:

void (returns nothing)

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max

max( double[] A ) → double

return the maximum of the list

Parameters

A - the list

Returns:

the maximum of the list

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mean

mean( double[] A ) → double

return the mean of the list. The first element's magnitude is removed from each accumulated value so that items with large offset values (for example times) can be averaged. There is no checking for NaNs or fill values.

Parameters

A - a double[]

Returns:

the mean of the list.

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median

median( double[] A ) → double

return the median of the list length N, which is the value at index N/2 of the sorted list. This does not return the average for even-length lists. and there is no checking for NaNs or fill values.