get_constr

Get the constraints for the optimization problem. This function is defined
for <code>get_eta_directed()</code>.

internal

Assortativity coefficients, centrality measures,
and clustering coefficients for weighted and directed networks.
Rewiring unweighted networks with given assortativity coefficients.
Generating general preferential attachment networks.

Yelie Yuan

wdnet

Weighted and Directed Networks

Tiandong Wang

Jun Yan

Panpan Zhang

get_constr function

<dl><dt>constrs</dt>
<dd>A list of constraints.</dd>
<dt>target.assortcoef</dt>
<dd>A list of target assortativity levels.</dd>
<dt>rho</dt>
<dd>A list of variable objects.</dd></dl>

Arguments

Get the constraints for the optimization problem. This function is defined
for get_eta_directed(). — get_constr

<dl>

<dt>constrs</dt>
<dd>A list of constraints.</dd>


<dt>target.assortcoef</dt>
<dd>A list of target assortativity levels.</dd>


<dt>rho</dt>
<dd>A list of variable objects.</dd>

</dl>

get_constr: Get the constraints for the optimization problem. This function is defined for `get_eta_directed()`.

Description

Usage

Value

Arguments