Objects			page : 1 2 3 4 5 6 7 8 9 10 11 12
KN-Lib 2.8	Abstraction		is a collection of everyday abstraction tools. It contains mouse and keyboards facilities, converters, calculation, random, interval and scale generators, midi utilities...etc
list.RandomSample	Javaclass (mxj)		outputs a random sample selected from an incoming list outputs a random sample selected from an incoming list
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.bernie	External		Generate random numbers from a Bernoulli distribution The Bernoulli distribution is based on a model of n independent trials, each of which has a probability p of succeeding. The result of a Bernoulli test is the number of successful trials, which must lie in the range 0 < x < n.
lp.chichi	External		Generate random numbers from a chi-square distribution
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.expo	External		Generate random numbers from an exponential distribution
lp.fishie	External		Generate random numbers from a Fisher distribution
lp.frrr~	External		Low-frequency noise Low-frequency noise is generated from a sequence of random values chosen at a constant rate slower than the sampling rate. In its simplest form, it functions as a noise generator passed through a sample-and-hold module. However, lp.frrr~ also allows the samples between the randomly generated values to be interpolated, either linearly or quadratically.
lp.gammer	External		Generate random numbers from Gamma and Erlang distributions The Gamma distribution has two parameters, generally referred to as order and location. It produces an asymmetrical distribution of positive random values, and is often used in musical contexts for generating rhythms. The order parameter must be positive, the location parameter may be zero or positive. The Erlang distribution is a special case of the Gamma function when the order parameter is an integer. This distribution is modeled on a process consisting of several independent exponentially-distributed sub-processes. In this case, the order parameter indicates the number of sub-processes. An Erlang distribution with order of one is equivalent to an exponential distribution.
lp.grrr~	External		"Gray" noise (Signal) Gray noise results from flipping random bits of an integer representation of the sample signal on a sample-to-sample basis. The spectrum is stronger towards lower frequencies.
lp.hyppie	External		Generate random numbers from a hyperbolic cosine distribution
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.
lp.linnie	External		Generate random numbers from linear and triangular distributions The lp.linnie object wraps linear and triangular distributions into one neat package. You can choose which variant to use through the symmetry option described below.
lp.loggie	External		Generate random numbers from a logistic distribution
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Libraries
ag.graular.suite	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='166'Adrian Gierakowski	The ag.granular.suite is a collection of Max/MSP patches for generalised granular sound processing and microsound composition written using FTM/Gabor libraries (developed at IRCAM) and encapsulated as Jamoma modules. Main features include: subsample accurate scheduling, multichannel output, granulation of multiple soundfiles at the same time (with interpolation of two sources per grain), parameter randomisation and sequencing, control via OSC, preset management, preset interpolation. Its modular architecture makes it possible to easily extend it with new algorithms for grain scheduling and parameter control.
KN-Lib 2.7	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='109'Roland Cahen	KN-Lib is a collection of everyday abstraction tools. It contains mouse and keyboards facilities, converters, calculation, random, interval and scale generators, midi utilities...etc (The old version is no longer available. If necessary it can be downloades at : ftp://ftp.forumnet.ircam.fr/pub/max/FAT/misc)
KnLib2.8.1	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='138'Roland Cahen	KN-Lib 2.8 is a collection of everyday abstraction tools. It contains mouse and keyboards facilities, converters, calculation, random, interval and scale generators, midi utilities...etc Most of them are finished, a few are in progress.
Litter Power Pro Package	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='54'Peter Castine	The Litter Power package consists of over 60 external objects, including a number of new MSP noise sources, externals that produce values from a wide variety of random number distributions, and externals for mutation and cross-synthesis.
Litter Power Starter Package	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='53'Peter Castine	The Litter Power Starter Pack consists of about two dozen external objects, including a number of new MSP noise sources, a wide variety of random number distributions, time-domain mutation, and several very useful utilities.
MaxAlea	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='96'Carl Faia	MaxAlea contains various objects for random distributions and functions. MaxAlea was begun as a Max port of an existing PatchWork Library created in 1991-2 by Mikhail Malt. While the distributions and functions found in MaxAlea are similar to those found in the Patchwork version ,there are many differences in their functioning. The environment of Patchwork is static and is not designed for real-time work. Part of the incentive for creating these objects to work with Max was to have a dynamic and real-time environment with which to experiment and work with these algorithms in a manner as simple and straightforward as possible. One can change variables and manipulate the output in many ways in real-time. There are several different versions of the various stochastic models/processes best presented in the now classic references by Denis Lorrain and Charles Dodge. Carl Faia has used a variety of sources for the creation of this library which include the Lorrain, Dodge and Malt implementations as well as sources found on the WorldWideWeb. The externals found in the package include several random distributions, examples of random walks and 1/f noise algorithms, as well as one or two utilities written specifically for the MaxAlea library. Carl Faia wanted to make a coherent collection (as he thought Malt had managed to do in PatchWork) of these various algorithms and provide an interface easily accessible using the Max environment for real-time control. All these algorithms have been created using a seeded version of the random function found in the standard AINSI library. That is, each time the function is first run there will always be a different set of random numbers (unlike the random funtions found in Max, PatchWork and other versions of random number generators).
Random Objects	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='78'Gary Lee Nelson	These are the collections of seedable random number generators that I wrote sometime in the early 1990's. These classic, OSX and Windows ports are thanks to Jeremy Bernste
vRand abstractions	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='77'Gary Lee Nelson	These new objects assume that you have downloaded and installed one of the the externals from the Random Objects library. There are OS9, OSX and PC versions. (Thanks again to Jeremy Bernstein.) I have not tested these new abstractions in OS 9 or Windows and would appreciate hearing from anyone you can verify that they work.