Package Descriptions for Ubuntu

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  1. Series trusty
  2. Template “ddtp-ubuntu-universe”
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13611 → 13620 of 34039 results First • • • Last
37462.
Perl extension for controlling process characteristics
 
Summary
(no translation yet)
Located in Package: liblinux-prctl-perl
37463.
Linux::Prctl provides a nice interface to the Linux prctl function. The Linux prctl function allows you to control specific characteristics of a process' behaviour.
 
Description
(no translation yet)
Located in Package: liblinux-prctl-perl
37464.
Besides prctl, this library also wraps libcap for complete capability handling.
 
Description
(no translation yet)
Located in Package: liblinux-prctl-perl
37465.
Linux::usermod - modify user and group accounts
 
Summary
(no translation yet)
Located in Package: liblinux-usermod-perl
37466.
This module adds, removes and modify user and group accounts according to the passwd and shadow files syntax (like struct passwd from pwd.h). It is not necessary those accounts to be system as long as $Linux::usermod::file_passwd, $Linux::usermod::file_shadow, $Linux::usermod::file_group, $Linux::usermod::file_gshadow are not in "/etc" directory.
 
Description
(no translation yet)
Located in Package: liblinux-usermod-perl
37467.
reliable interpolation of multivariate scattered data
 
Summary
(no translation yet)
Located in Package: liblip2t64 Package: liblip-dev
37468.
Lip interpolates scattered multivariate data with a Lipschitz function.
 
Description
(no translation yet)
Located in Package: liblip2t64 Package: liblip-dev
37469.
Methods of interpolation of multivariate scattered data are scarce. The programming library Lip implements a new method by G. Beliakov, which relies on building reliable lower and upper approximations of Lipschitz functions. If we assume that the function that we want to interpolate is Lipschitz-continuous, we can provide tight bounds on its values at any point, in the worse case scenario. Thus we obtain the interpolant, which approximates the unknown Lipschitz function f best in the worst case scenario. This translates into reliable learning of f, something that other methods cannot do (the error of approximation of most other methods can be infinitely large, depending on what f generated the data).
 
Description
(no translation yet)
Located in Package: liblip2t64 Package: liblip-dev
37472.
It is easily interpreted as the largest slope of the function f. f needs not be differentiable.
 
Description
(no translation yet)
Located in Package: liblip2t64 Package: liblip-dev
37473.
The interpolant based on the Lipschitz properties of the function is piecewise linear, it possesses many useful properties, and it is shown that it is the best possible approximation to f in the worst case scenario. The value of the interpolant depends on the data points in the immediate neigbourhood of the point in question, and in this sense, the method is similar to the natural neighbour interpolation.
 
Description
(no translation yet)
Located in Package: liblip2t64 Package: liblip-dev
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