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2220122210 of 43379 results
44056.
Radiusclient-ng library is an enhanced version of the libradius1, the RADIUS client library. Radiusclient-ng contains vastly improved API and many additional bug fixes. The library is also more efficient than the original version.
Description
(no translation yet)
Located in Package: libradiusclient-ng2
44057.
Transitional package for ruby-ramaze
Summary
(no translation yet)
Located in Package: libramaze-ruby1.9.1 Package: libramaze-ruby1.8 Package: libramaze-ruby
44058.
This is a transitional package to ease upgrades to the ruby-ramaze package. It can safely be removed.
Description
(no translation yet)
Located in Package: libramaze-ruby1.9.1 Package: libramaze-ruby1.8 Package: libramaze-ruby
44062.
Apache Rampart/C is the security module for Apache Axis2/C. It features in many ways to protect SOAP messages exchanged. This includes SOAP message encryption and signature as specified in WS-Security Specification. In addition Apache Rampart/C configurations are based on security policy assertions as per WS-Security Policy specificatoin
Description
(no translation yet)
Located in Package: librampart0 Package: librampart-doc Package: librampart-dev
44064.
generates random variates with multivariate Lipschitz density
Summary
(no translation yet)
Located in Package: libranlip1c2 Package: libranlip-dev
44065.
RanLip generates random variates with an arbitrary multivariate Lipschitz density.
Description
(no translation yet)
Located in Package: libranlip1c2 Package: libranlip-dev
44066.
While generation of random numbers from a variety of distributions is implemented in many packages (like GSL library http://www.gnu.org/software/gsl/ and UNURAN library http://statistik.wu-wien.ac.at/unuran/), generation of random variate with an arbitrary distribution, especially in the multivariate case, is a very challenging task. RanLip is a method of generation of random variates with arbitrary Lipschitz-continuous densities, which works in the univariate and multivariate cases, if the dimension is not very large (say 3-10 variables).
Description
(no translation yet)
Located in Package: libranlip1c2 Package: libranlip-dev
44067.
Lipschitz condition implies that the rate of change of the function (in this case, probability density p(x)) is bounded:
Description
(no translation yet)
Located in Package: libranlip1c2 Package: libranlip-dev
44069.
From this condition, we can build an overestimate of the density, so called hat function h(x)>=p(x), using a number of values of p(x) at some points. The more values we use, the better is the hat function. The method of acceptance/rejection then works as follows: generatea random variate X with density h(x); generate an independent uniform on (0,1) random number Z; if p(X)<=Z h(X), then return X, otherwise repeat all the above steps.
Description
(no translation yet)
Located in Package: libranlip1c2 Package: libranlip-dev
44070.
RanLip constructs a piecewise constant hat function of the required density p(x) by subdividing the domain of p (an n-dimensional rectangle) into many smaller rectangles, and computes the upper bound on p(x) within each of these rectangles, and uses this upper bound as the value of the hat function.
Description
(no translation yet)
Located in Package: libranlip1c2 Package: libranlip-dev
2220122210 of 43379 results

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