normalize_points

Rescale all points to lie in the box bounded by <code>minval</code>
and <code>maxval</code>.

Collection of building blocks for the design and analysis
of evolutionary multiobjective optimization algorithms.

Olaf Mersmann

emoa

Evolutionary Multiobjective Optimization Algorithms

normalize_points function

<dl><dt>points</dt>
<dd>Matrix containing points, one per column.</dd>
<dt>minval</dt>
<dd>Optional lower limits for the new bounding box.</dd>
<dt>maxval</dt>
<dd>Optional upper limits for the new bounding box.</dd></dl>

Arguments

Olaf Mersmann <a href="/link/olafm%40statistik.tu-dortmund.de?package=emoa&version=0.5-3" data-mini-rdoc="emoa::olafm@statistik.tu-dortmund.de">olafm@statistik.tu-dortmund.de</a>

Author

Scale point cloud — normalize_points

<dl>

<dt>points</dt>
<dd>Matrix containing points, one per column.</dd>


<dt>minval</dt>
<dd>Optional lower limits for the new bounding box.</dd>


<dt>maxval</dt>
<dd>Optional upper limits for the new bounding box.</dd>

</dl>

Olaf Mersmann <a href='mailto:olafm@statistik.tu-dortmund.de'>olafm@statistik.tu-dortmund.de</a>

normalize_points: Scale point cloud

Description

Usage

Value

Arguments

Author