GoldenSectionMinimizer1D (OpenGamma Strata)

java.lang.Object
- com.opengamma.strata.math.impl.minimization.GoldenSectionMinimizer1D

All Implemented Interfaces:

Minimizer<Function<Double,Double>,Double>, ScalarMinimizer
```
public class GoldenSectionMinimizer1D
extends Object
implements ScalarMinimizer
```

Constructor Summary

Constructors
Constructor Description

GoldenSectionMinimizer1D()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`minimize(Function<Double,Double> f, double lower, double upper)`	Minimize.
`double`	`minimize(Function<Double,Double> f, double startPosition, double lower, double upper)`
`Double`	`minimize(Function<Double,Double> function, Double startPosition)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - GoldenSectionMinimizer1D
```
public GoldenSectionMinimizer1D()
```
- Method Detail
  - minimize
```
public double minimize(Function<Double,Double> f,
                       double startPosition,
                       double lower,
                       double upper)
```
    Specified by:
    
    minimize in interface ScalarMinimizer
    
    Parameters:
    
    f - The function to minimize, not null
    
    startPosition - The start position
    
    lower - The lower bound
    
    upper - The upper bound, must be greater than the upper bound
    
    Returns:
    
    The minimum
  - minimize
```
public double minimize(Function<Double,Double> f,
                       double lower,
                       double upper)
```
    Minimize.
    
    Parameters:
    
    f - the function
    
    lower - the lower bound
    
    upper - the upper bound
    
    Returns:
    
    the result
  - minimize
```
public Double minimize(Function<Double,Double> function,
                       Double startPosition)
```
    Specified by:
    
    minimize in interface Minimizer<Function<Double,Double>,Double>
    
    Parameters:
    
    function - The function to be minimized, not null
    
    startPosition - The start position
    
    Returns:
    
    The minimum