sum = 0 for j in range(1,12): sum = sum + (9*j + 3) print(sum) What is printed as a result of executing this algorithm?

Java - Write an iterative method that calculates the SUM of all integers between 1 and a given integer N (input into the method). Write a corresponding recursive solution. (return answer, don’t print)

I need the code from start to end with no errors and the explanation for the code ObjectivesJava refresher (including file I/O)Use recursionDescriptionFor this project, you get to write a maze solver. A maze is a two dimensional array of chars. Walls are represented as '#'s and ' ' are empty squares. The maze entrance is always in the first row, second column (and will always be an empty square). There will be zero or more exits along the outside perimeter. To be considered an exit, it must be reachable from the entrance. The entrance is not an exit.Here are some example mazes:mazeA7 9# # ###### # # ## # # #### # ## ##### ## ########## RequirementsWrite a MazeSolver class in Java. This program needs to prompt the user for a maze filename and then explore the maze. Display how many exits were found and the positions (not indices) of the valid exits. Your program can display the valid exits found in any order. See the examples below for exact output requirements. Also, record...

Please explain why this is the correct answer.

int arr[] = {-2, -4, 8, 4, 3, 3, -9};In Java with this given this array, how would this version of Divide and Conqueror be implemented in this case, specifically?

JAVA: Which is/are correct statement(s) about the Recursion? (Select all that apply) We can use for loop and while loop in recursion. We solve a problem that depends on solving smaller occurrences of the same problem. We have high performance while using recursion rather than iteration. We have high performance while using iteration rather than recursion. Easy to implement the algorithm while using recursion but hard to find the time complexity. Easy to implement the algorithm while using iteration but hard to find the time complexity. Base case is a simple occurrence that cannot be answered directly. Recursive case is a more complex occurrence of the problem that cannot be directly answered, but can instead be described in terms of smaller occurrences of the same problem. We must have exact one base case and one recursive case. We must have at least one base case. We must have at least one recursive case.