goldsect {cmna} | R Documentation |

## Golden Section Search

### Description

Use golden section search to find local extrema

### Usage

```
goldsectmin(f, a, b, tol = 0.001, m = 100)
goldsectmax(f, a, b, tol = 0.001, m = 100)
```

### Arguments

`f` |
function to integrate |

`a` |
the a bound of the search region |

`b` |
the b bound of the search region |

`tol` |
the error tolerance |

`m` |
the maximum number of iterations |

### Details

The golden section search method functions by repeatedly dividing the interval
between `a`

and `b`

and will return when the
interval between them is less than `tol`

, the error tolerance.
However, this implementation also stop if after `m`

iterations.

### Value

the `x`

value of the minimum found

### See Also

Other optimz:
`bisection()`

,
`gradient`

,
`hillclimbing()`

,
`newton()`

,
`sa()`

,
`secant()`

### Examples

```
f <- function(x) { x^2 - 3 * x + 3 }
goldsectmin(f, 0, 5)
```

[Package

*cmna*version 1.0.5 Index]