Optimization of a Given Function Using minimize_scalar

This function utilizes the minimize_scalar function from the scipy.optimize module to find the minimum value of a given function.

Technology Stack : SciPy, NumPy, minimize_scalar

Code Type : Function

Code Difficulty : Intermediate

                
                    
import numpy as np
from scipy.optimize import minimize_scalar

def optimize_function(x, a=1, b=2):
    """
    This function uses scipy's minimize_scalar to find the minimum value of a given function.
    """
    return (x - a)**2 + b*x

def optimize.argmin(arg1, arg2=1):
    """
    This function finds the minimum value of the given function over a specified range.
    It uses the minimize_scalar function from the scipy.optimize module.
    """
    result = minimize_scalar(lambda x: optimize_function(x, arg1, arg2))
    return result.x, result.fun

# JSON description of the code