The recent Palisades and Eaton wildfires in Los Angeles have caused widespread devastation, making them some of the most destructive fires on record. According to data from the U.S. Geological Survey, over 40,000 acres of land and 12,300 structures have been destroyed by these fires. As a result, approximately 200,000 residents are under evacuation orders or warnings.
While residential real estate has taken a major hit in the affected areas, a special report by Marcus & Millichap focused on how commercial real estate has been impacted by these wildfires. It’s no surprise that there has been an increase in demand for hotels as occupancy rates have risen up to 1
!["Costco in Liberty Hill Seeks Nearby Retail Partners"# Language: Python 3 Notebook # Language: Python 3 Notebook import numpy as np import matplotlib.pyplot as plt # Define the function def f(x): return x**2 # Define the derivative of the function def df(x): return 2*x # Define the initial guess x0 = 2 # Define the learning rate alpha = 0.1 # Define the number of iterations n_iter = 10 # Initialize the list to store the values of x x_list = [x0] # Perform gradient descent for i in range(n_iter): # Calculate the gradient grad = df(x_list[-1]) # Update the value of x x_new = x_list[-1] - alpha*grad # Append the new value of x to the list x_list.append(x_new) # Convert the list to a numpy array x_list = np.array(x_list) # Plot the function and the gradient descent path x = np.linspace(-2, 2, 100) plt.plot(x, f(x)) plt.plot(x_list, f(x_list)](https://cremarketbeat.com/wp-content/uploads/2025/01/Costco-2.jpg)
