# Peerless Optimizer¶

*Peerless* is a software to model and solve mathematical optimization problems
of the form:

where \(f(x):\mathbb{R}^n\rightarrow\mathbb{R}\), \(g(x):\mathbb{R}^n\rightarrow\mathbb{R}^p\), \(h(x):\mathbb{R}^n\rightarrow\mathbb{R}^q\), with \(n=n_1+n_2\), are functions without any requirement on continuity, differentiability or convexity. Notice that \(\mathbb{R}\) and \(\mathbb{Z}\) are the set of real and integer numbers, respectively.

The algorithms are designed to find the global optimimum of the
problem, making *Peerless* a
**Global Mixed-Integer General Nonlinear Programming**. General means
that the functions in the problem can be of any type, nothing
is required of them, as previously mentioned.

## Any type of problem¶

When dealing with optimization problems, one is faced with the decision of knowing in advance the type of problem that will be solved. This decision will generally bind your software to the choosen solver and will limit the ability to modify and extend the model because of the limitations impossed by it.

Since *Peerless* **can handle any type of problem** (linear, nonlinear,
discrete, discontinuous, non-convex, etc.), you have the freedom to
create the model as you please and as close as you want to the process
or situation at hand.

## Pure Python¶

*Peerless* is a pure Python library that is installed in a minute by
issuing *:

```
$ pip install peerless
```

The problems are solved in EuT’s servers, or in you company’s servers, meaning that you can integrate your optimization models everywhere because you don’t need processing power or memory requirements to solve challenging problems.

- *
The client side is a pure Python library. The server side is written in Python and Fortran 2018 for performance.