Optimization of Sine Function with Custom Parameters

This function uses SciPy's minimize_scalar method to find the minimum value of a sine function with custom parameters.

Technology Stack : SciPy, NumPy

Code Type : Function

Code Difficulty : Intermediate

                
                    
import numpy as np
from scipy.optimize import minimize_scalar

def optimize_sine(x, a=1, b=0, c=0):
    """
    Minimize the sine function with given parameters a, b, c.
    """
    return np.sin(a * x + b) + c

def custom_optimization(arg1, arg2):
    """
    This function uses SciPy's minimize_scalar to find the minimum value of the sine function
    with custom parameters.
    """
    result = minimize_scalar(lambda x: optimize_sine(x, arg1, arg2), bounds=(0, 2*np.pi), method='bounded')

    return result.x, result.fun