# 1. Create a 1D NumPy array from the list [5, 10, 15, 20, 25]. Convert the array to type float64 and print it. array_1d = np.array([5, 10, 15, 20, 25], dtype=np.float64) print("1D Array:", array_1d) ...
Abstract: With the advancement of monopulse radar technology, synthesis of the sum-and-difference patterns (SDPs) for the radome-enclosed arrays has emerged as a pressing area of research. Due to the ...
NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...
School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea Center for Multidimensional Carbon Materials (CMCM), Institute for ...
Abstract: The directivities of antenna elements and arrays (no mutual coupling included) is discussed. Replacing the directivity of the simulated or measured element pattern by a continuous function ...
The program must accept two arrays of size N and then for each element position, the program must print find the sum of odd elements till that position for both the arrays and then print the sum which ...