Free dotties weight loss zone points software for linux

Bio::NEXUS::WeightSet is a Perl module that represents column weights in alignment ( for each character).

SYNOPSIS

new Bio::NEXUS::WeightSet($name, @weights, $iswt);

A module representing column weights in alignment (for each character)

METHODS

new

Title : new
Usage : $node = new Bio::NEXUS::WeightSet($name, @weights);
Function: Creates a new Bio::NEXUS::WeightSet object
Returns : Bio::NEXUS::WeightSet object
Args : none

set_weights

Title : set_weights
Usage : $weight->set_weights(@weights);
Function: stores it in the list weights
Returns : none
Args : list of weights

get_weights

Title : get_weights
Usage : @wts=@{$weightset->get_weights()};
Function: Returns the weights array
Returns : reference to array containing weights
Args : none

select_weights

Title : select_weights
Usage : $set->select_weights($columns);
Function: select a subset of characters
Returns : new self with subset of weights
Args : column numbers

is_wt

Title : is_wt
Usage : croak unless $weight->is_wt();
Function: Returns if object has weights (1 yes, 0 no)
Returns : weight existence (integer)
Args : none

set_name

Title : set_name
Usage : $weight->set_name($name);
Function: Sets the name of the weightset
Returns : none
Args : name (string)

get_name

Title : get_name
Usage : $name=$weight->get_name();
Function: Returns the name of the weightset
Returns : name (string)
Args : none

equals

Name : equals
Usage : $set->equals($another);
Function: compare if two WeightSet objects are equal
Returns : boolean
Args : an WeightSet object

SYNOPSIS

use Math::FresnelZone;
use Math::FresnelZone qw(fresnel fresnelMi fresnelKm);

The arguments are:

0 - distance in kilometers or miles (default is 1),
1 - frequency in GHz (defualt 2.4),
2 - set to true to specify that the distance you are inputting is in miles and that the results should be in in feet (default is 0 - IE kilometers/meters)
fresnel()

my $fresnel_zone_radius_in_meters = fresnel(); # fresnel zone radius in meters for 1 kilometer at 2.4 GHz

my $fzr_in_meters = fresnel(5); # fresnel zone radius in meters for 5 kilometers at 2.4 GHz

my $fzr_in_meters = fresnel(5,4.8); # fresnel zone radius in meters for 5 kilometers at 4.8 GHz

my $fzr_in_feet = fresnel(3,9.6,1); # fresnel zone in feet for 3 miles at 9.6 GHz

If you are inputting Kilometers the result is in meters (these 3 calls have identical results):

fresnel($Km,$GHz);
fresnelKm($Km,$GHz); # see documentaion below for info about fresnelKm()
fresnel($Km,$GHz,0);

If you are inputting Miles (by specifying a true value as the 3rd argument) the result is in feet (these 2 calls have identical results)

fresnel($Mi,$GHz,1);
fresnelMi($Mi,$GHz); # see documentaion below for info about fresnelMi()

fresnelKm()

You can use this to make it easier to avoid ambiguity if are working in kilometers/meters. It takes the first two arguments only: distance in kilometers and frequency in GigaHertz

my $fzr_in_meters = fresnelKm($Km,$GHz);

fresnelMi()

You can use this to make it easier to avoid ambiguity if are working in miles/feet. It takes the first two arguments only: distance in miles and frequency in GigaHertz

my $fzr_in_feet = fresnelMi($Mi,$GHz);

Statistics::LineFit module least squares line fit, weighted or unweighted.

SYNOPSIS

use Statistics::LineFit;
$lineFit = Statistics::LineFit->new();
$lineFit->setData (@xValues, @yValues) or die "Invalid data";
($intercept, $slope) = $lineFit->coefficients();
defined $intercept or die "Cant fit line if x values are all equal";
$rSquared = $lineFit->rSquared();
$meanSquaredError = $lineFit->meanSqError();
$durbinWatson = $lineFit->durbinWatson();
$sigma = $lineFit->sigma();
($tStatIntercept, $tStatSlope) = $lineFit->tStatistics();
@predictedYs = $lineFit->predictedYs();
@residuals = $lineFit->residuals();
(varianceIntercept, $varianceSlope) = $lineFit->varianceOfEstimates();

The Statistics::LineFit module does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the module can return the square of the correlation coefficient (R squared), the Durbin-Watson statistic, the mean squared error, sigma, the t statistics, the variance of the estimates of the slope and y-intercept, the predicted y values and the residuals of the y values. (See the METHODS section for a description of these statistics.)
The module accepts input data in separate x and y arrays or a single 2-D array (an array of arrayrefs). The optional weights are input in a separate array. The module can optionally verify that the input data and weights are valid numbers. If weights are input, the line fit minimizes the weighted sum of the squared errors and the following statistics are weighted: the correlation coefficient, the Durbin-Watson statistic, the mean squared error, sigma and the t statistics.
The module is state-oriented and caches its results. Once you call the setData() method, you can call the other methods in any order or call a method several times without invoking redundant calculations. After calling setData(), you can modify the input data or weights without affecting the modules results.
The decision to use or not use weighting could be made using your a priori knowledge of the data or using supplemental data. If the data is sparse or contains non-random noise, weighting can degrade the solution. Weighting is a good option if some points are suspect or less relevant (e.g., older terms in a time series, points that are known to have more noise).

QoS Connection Tuning HOWTO is a document which explains how to tune network connection performance.

This enables you to get the maximum benefit out of your connection without lag and loss.

DIY Zoning is a repository containing the information about architecting, designing and implementing the Do It Yourself Temperature Zoning system, introductory course for those planning to install a ready-made temperature zoning system, and those who just want their home comfort.

Whats New in This Release:

This release introduces support for many logical devices per one physical 1-Wire device in general, and humidity sensor support in particular.

DAC2CORE protocol has changed, backward compatibility is broken. To upgrade your configuration, you have to add a literal T in front of 1-Wire temperature sensors, and add a literal S in front of 1-Wire switch devices.

Graph::Weighted is an abstract, weighted graph implementation.

SYNOPSIS

use Graph::Weighted;

$g = Graph::Weighted->new(
data => [
[ 0, 1, 2, 0, 0 ], # A vertex with two edges.
[ 1, 0, 3, 0, 0 ], # "
[ 2, 3, 0, 0, 0 ], # "
[ 0, 0, 1, 0, 0 ], # A vertex with one edge.
[ 0, 0, 0, 0, 0 ] # A vertex with no edges.
]
);

$g = Graph::Weighted->new(
data => {
weight => {
a => { b => 1, c => 2 }, # A vertex with two edges.
b => { a => 1, c => 3 }, # "
c => { a => 2, b => 3 }, # "
d => { c => 1 }, # A vertex with one edge.
e => {} # A vertex with no edges.
}
foo => [
[ 1, 2, 3 ],
[ 4, 5, 6 ],
[ 7, 8, 9 ]
],
}
);

$g = Graph::Weighted->new(
data => $Math_Matrix_object,
retrieve_as => ARRAY,
);

$data = $g->weight_data;

$w = $g->graph_weight;

$w = $g->vertex_weight($v1);
$w = $g->vertex_weight($v1, $w + 1);

$w = $g->edge_weight($v1, $v2);
$w = $g->edge_weight($v1, $v2, $w + 1);

$vertices = $g->heaviest_vertices;
$vertices = $g->lightest_vertices;

$w = $g->max_weight; # Weight of the largest vertices.
$w = $g->min_weight; # Weight of the smallest vertices.

# Call the weight methods of the inherited Graph module.
$x = $g->MST_Kruskal;
$x = $g->APSP_Floyd_Warshall;
$x = $g->MST_Prim($p);

Community Content Management project consists of a light-weight CMS, designed for communities.
Community Content Management is a light-weight CMS, which is designed for small communities, such as churches, schools, and neighborhood watch groups.
It allows someone with relatively little knowledge of the Internet to publish news stories and events. It sets archive/publishing dates, allowing groups to write press releases/articles about events before they happen.
Its output conforms to XHTML 1.0 and uses CSS 2, and its configuration comprises one file, which sets the site title, database, host, and meta tags.
Enhancements:
- Login - code changed so correct variables are passed to login script :)
- Search - Search Engine Added
- Articles - new lines (n) are replaced with "
" instead of " "