math.extras vocabulary
Factor handbook > Vocabulary index


Summary
math.extras vocabulary

Words

Generic words
WordStack effect
round-away-from-zero( x -- y )
sum-cubes( seq -- n )
sum-squares( seq -- n )


Ordinary words
WordStack effect
[0,2pi]( n -- seq )
bartlett( n -- seq )
bernoulli( p -- n )
blackman( n -- seq )
chi2( actual expected -- n )
chi2P( chi df -- p )
compression-dissimilarity( a b -- n )
compression-distance( a b -- n )
compression-lengths( a b -- len(a+b) len(a) len(b) )
concentration-coefficient( seq -- x )
cum-reduce( seq identity quot: ( prev elt -- next ) -- result cum-result )
digitize)( seq bins -- seq' )
digitize]( seq bins -- seq' )
exponential-index( seq -- x )
exponential-moving-average( seq a -- newseq )
fill-nans( seq -- newseq )
gini( seq -- x )
hamming( n -- seq )
hanning( n -- seq )
herfindahl( seq -- x )
jacobi( a m -- n )
kahan-sum( seq -- n )
kelly( winning-probability odds -- fraction )
legendere( a m -- n )
linspace[a,b)( a b length -- seq )
linspace[a,b]( a b length -- seq )
logspace[a,b)( a b length base -- seq )
logspace[a,b]( a b length base -- seq )
majority( seq -- elt/f )
map-kahan-sum( ... seq quot: ( ... elt -- ... n ) -- ... n )
max-monotonic-count( seq quot: ( elt1 elt2 -- ? ) -- n )
mobius( n -- x )
monotonic-count( seq quot: ( elt1 elt2 -- ? ) -- newseq )
moving-average( seq n -- newseq )
moving-count( ... u n quot: ( ... elt -- ... ? ) -- ... v )
moving-infimum( u n -- v )
moving-median( u n -- v )
moving-sum( u n -- v )
moving-supremum( u n -- v )
nan-max( seq -- n )
nan-min( seq -- n )
nan-sum( seq -- n )
nonzero( seq -- seq' )
normalized-herfindahl( seq -- x )
ramanujan( x -- y )
round-to-decimal( x n -- y )
round-to-step( x step -- y )
sinc( x -- y )
stirling( n k -- x )
unique-indices( seq -- unique indices )
until-zero( n quot -- )
weighted-random( histogram -- obj )


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math.extras.privatemath.extras.private vocabulary