# fminviz: Visualize Function Minimum In adagio: Discrete and Global Optimization Routines

 fminviz,flineviz R Documentation

## Visualize Function Minimum

### Description

Visualizes multivariate functions around a point or along a line between two points in `R^n`.

### Usage

```fminviz(fn, x0, nlines = 2*length(x0),
npoints = 51, scaled = 1.0)

flineviz(fn, x1, x2, npoints = 51, scaled = 0.1)
```

### Arguments

 `fn` multivariate function to be visualized. `x0,x1,x2` points in n-dimensional space. `nlines` number of lines to plot. `npoints` number of points used to plot a line. `scaled` scale factor to extend the line(s).

### Details

`fminviz` vizualizes the behavior of a multivariate function `fn` around a point `x0`. It randomly selects `nlines` lines through `x0` in `R^n` and draws the curves of the function along these lines in one graph.

Curves that have at least one point below `fn(x0)` are drawn in red, all others in blue. The scale on the x-axis is the Euclidean distance in `R^n`. The `scale` factor can change it.

`flineviz` vizualizes the behavior of a multivariate function `fn` along the straight line between the points `x1` and `x2`. Points `x1` and `x2` are also plotted.

### Value

Plots a line graph and returns `NULL` (invisibly).

### Examples

```## Not run:
f1 <- function(x) x^2 - x^2
fminviz(f1, c(0, 0), nlines = 10)

f2 <- function(x) (1 - x)^2 + 100*(x - x^2)^2
flineviz(f2, c(0, 0), c(1, 1))

## End(Not run)
```

adagio documentation built on Oct. 3, 2022, 5:07 p.m.