# 11.39 minimize

minimize <expression> via { <variable> }

The `minimize` command can be used to find the minima of algebraic expressions. A single algebraic expression should be supplied for optimisation, together with a comma-separated list of the variables with respect to which it should be optimised. In the following example, a minimum of the sinusoidal function is sought:

`pyxplot> `**set numerics real**

`pyxplot> `**x=0.1**

`pyxplot> `**minimize cos(x) via x**

`pyxplot> `**print x/pi**

`1`

Note that this particular example doesn’t work when complex arithmetic is enabled, since diverges to at .

Various caveats apply the `minimize` command, as well as to the `maximize` and `solve` commands. All of these commands operate by searching numerically for optimal sets of input parameters to meet the criteria set by the user. As with all numerical algorithms, there is no guarantee that the *locally* optimum solutions returned are the *globally* optimum solutions. It is always advisable to double-check that the answers returned agree with common sense.

These commands can often find solutions to equations when these solutions are either very large or very small, but they usually work best when the solution they are looking for is roughly of order unity. Pyxplot does have mechanisms which attempt to correct cases where the supplied initial guess turns out to be many orders of magnitude different from the true solution, but it cannot be guaranteed not to wildly overshoot and produce unexpected results in such cases. To reiterate, it is always advisable to double-check that the answers returned agree with common sense.