What is optimise function in R Why is it used

This recipe explains what is optimise function in R and why is it used

Recipe Objective

What is the optimize function? Why is it used?

The optimize () function in R is used for performing one-dimensional optimization on some data. The optimize () is given functions as an input along with an interval that consists of lower to upper limits for the minimum or maximum of a function. Syntax: **optimize (function, intervals)** where, Function: a defined function Interval: lower and upper limits for the function This recipe demonstrates an example of optimize () function in R.

Step 1 - Create a function

func <- function(x) { # Create function 2 * x ^3 + 3 * x^ 2 + 6 * x + 13 }

Step 2 - Use optimize()

optimize(func, # Apply optimize interval = c(- 3, 3))

"Output of code is:"
$minimum
-2.99994710038626
$objective
-31.9977782581984

Here, the lower limit is -3 and upper limit is +3. The minimum value retuned is -2.99 and the objective i.e the location of the minimum value is -31.99.

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I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

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