Description Usage Arguments Examples

Gradient method for approximating a functions minimum value. The purpose of this method is to compare its result with the BarBor method.

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`exp` |
Expression of the function to be minimized. |

`eps` |
Precision of the approximation, recommended value is 10^-10. |

`G` |
Inner approximation coefficient, recommended value is 10^-2. |

`B` |
Inner approximation coefficient, recommended value is 0.5. |

`m` |
Inner steps, recommended value is 20. |

`x` |
Starting point of the approximation. |

`v` |
A character vector of the functions variables. Exmaple: the two dimension fuction x1*x1+10*x2*x2 needs a c("x1","x2") vector. |

`n` |
Maximum setps to make while approximating, if the calculation reaches this number it exits with the current value and point. Recommended to be 10000. |

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