printf

The models of probability density functions are Gaussian or
exponential distributions with polynomial correction terms.
Using a maximum likelihood method, 'dsdp' computes parameters of Gaussian
or exponential distributions together with degrees of polynomials by
a grid search, and coefficient of polynomials by a variant of semidefinite
programming. It adopts Akaike Information Criterion for model selection.
See a vignette for a tutorial and more on our 'Github' repository
<https://github.com/tsuchiya-lab/dsdp/>.

Satoshi Kakihara

dsdp

Density Estimation with Semidefinite Programming

Takashi Tsuchiya

printf function

<dl><dt>...</dt>
<dd>Any number of arguments to be printed.</dd></dl>

Arguments

printf — printf

<dl>

<dt>...</dt>
<dd>Any number of arguments to be printed.</dd>

</dl>

printf: printf

Description

Usage

Value

Arguments