plot_traj

Function to plot the particle trajectory after the <code>simulation</code> class
has been constructed.

Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), <doi:10.48550/arXiv.2309.02468>.

Mengyang Gu

AIUQ

Ab Initio Uncertainty Quantification

Yue He

Xubo Liu

plot_traj function

<dl><dt>object</dt>
<dd>an S4 object of class <code>simulation</code></dd>
<dt>title</dt>
<dd>main title of the plot. If <code>NA</code>, title is "model_name with
M particles" with <code>model_name</code> and <code>M</code> being field in <code>simulation</code>
class.</dd></dl>

Arguments

Author

Plot 2D particle trajectory — plot_traj

<dl>

<dt>object</dt>
<dd>an S4 object of class <code>simulation</code></dd>


<dt>title</dt>
<dd>main title of the plot. If <code>NA</code>, title is "model_name with
M particles" with <code>model_name</code> and <code>M</code> being field in <code>simulation</code>
class.</dd>

</dl>

plot_traj: Plot 2D particle trajectory

Description

Usage

Value

Arguments

Author

Examples