Objects			page : 1 2 3
iter	External		Unpacks lists one element at a time through its outlet Break a list up into a series of numbers
izi	Abstraction		Like uzi, but iterates a list.
jb.iter	Abstraction		iterate a list at a variable rate
jb.tandem	Abstraction		iterate two lists in tandem
jcom.limiter~	External		Look-ahead limiter with built-in DC blocking and Overdrive This object was initially an off-shoot from jhno's limi~ object for MaxMSP. This variant supports attributes, gain-related values specified in decibels, and a built in DC Blocker.
jit.iter	External		Iterate a matrix as a series of Max lists/values The jit.iter object iterates through all the cells of a matrix, sending a max message or list for each cell out the object's left outlet. The jit.iter object also sends a list of ints out its middle outlet that contains the current cell coordinates.
jit.print	External		Print a matrix as text in the Max window The jit.print object prints matrix values for display in the Max window. Due to limitations of the Max window, it works best for smaller matrices. To see larger matrices, see the jit.fprint, which works similarly, but prints to a file. Delimiters may be set for plane, column and row. Dimensions are delimited by , where N = the current dimension.
jmod.limi~	Jamoma Module		stereo limiter
limi~	External		lookahead limiter
listiter	External		cuts a long list up into smaller lists. cuts a long list up into smaller lists. Takes a single argument that determines the length of output lists. If argument is 1 then listiter is the same as iter.
listwalker	Javaclass (mxj)		This object provides an easy way to iterate through lists.
Loop	External		An object to safely control iterated processes.
lp.abbie	External		Generate random numbers from beta and arc sine distributions The beta distribution generates random numbers in the range 0 < x < 1. It has two parameters, a and b. These parameters are sometimes referred to in the literature as Éø and É¿ or ÉÀ and É—. The parameters control the shape of the distribution. Loosely speaking, values of a closer to zero increase the probability of small deviates (i.e., random values less than 0.5) being generated; values of b closer to zero increase the probability of large deviates (i.e., random values larger than 0.5).
lp.coshy	External		Generate random numbers from a Cauchy distribution The Cauchy distribution has a single parameter, É—. The standard Cauchy distribution is symmetrical. In some literature reference is made to a positive Cauchy distribution, and the lp.coshy object can optionally produce this variant. Although not found in the literature, lp.coshy supports a negative variant for the sake of symmetry to the positive form. Although the standard Cauchy distribution is symmetrical around zero, its mean does not converge but is undefined. Sooner of later one gets used to this.
lp.lili	External		Parametric linear congruence method The linear congruence algorithm has been the standard method of generating pseudorandom numbers since the late 1950s. More recent statistical literature (i.e., since about 1960) has pointed out numerous shortcomings with the algorithm. Despite this, linear congruence remains the method provided by practically all operating systems and programming libraries. Max is no exception. With carefully chosen parameters, LC can produce sequences of numbers that at least appear random at first glance. However, even with the most carefully chosen parameters, LC shows a number of correlations that are not in any sense random. For this reason, the Litter Power Package uses more modern methods that are more measurably random and robust. The algorithm used by default in the Litter Power Package is faster, to boot.
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