Function 5: Break Array _breakArray (array, n) Create a JavaScript function expression that meets the following requirements: Authored using function expression syntax (constant name _breakAway) Accepts an array of integers as the first argument, and a single integer as the second argument (n). The function divides the array into chunks of size n, where n is the length of each created (divided) array It is possible that the last array created is not completely filled (see example 2 below) The integers provided in the array argument, and for the value of n, are always single-digit integers. validation is not required for this single-digit assumption. Console log output is NOT permitted. The function returns an array containing the array groupings back to the caller. _breakAway ([2,3,4,5], 2) → [ [2,3],[4,5] ] _breakAway([2,3,4,5,6], 2) → [ [2,3],[4,5],[6] ] breakAway ([2,3,4,5,6,7], 3) → [ [2,3,4],[5,6,7] ] _breakAway([2,3,4,5], 1) → [ [2],[3],[4],[5] ] breakAway ([2,3,4,5,6,7], 7) → [ [2,3,4,5,6,7] ]

Question 5 Numerical Approximation Methods basic ideas: Please write the basic idea (with key equations), application example, advantages and limitations of the following numerical approximation methods for solving linear/nonlinear equations. Please also state cases/examples for which one method can provide good result, but other may not. 1) Relaxation method 2) Binary search method 3) Newton's method 4) Secant method [Note: You can use simple examples for showing their applications. You might not need to derive any method]

You work for a very small software organization—only 11 people are involved in developing software. Is SPI for you? Explain your answer.

Give correct answer with detailed explanation. (Don't use AI)

How do you put a 2D array code into a function? (C++ only)

Objective: Practice writing recursive functions in python3  Make the five recursive functions described below in python3 by using the starter code recursive_functions.py. For each function, figure out how to solve it conceptually : write down the base case (when recursion stops) and how each recursive function-call moves towards the base case. The functions should not print anything (except you may add temporary print statements to help debug them). You can test your program by using the provided program test_recursive_functions.py. Don't edit the test program. Put it into the same directory (folder) with your recursive_functions.py and run it. It will import your functions as a module, test your functions, and tell you when each function is returning correct results. 1. Factorial In math, if you have a number n, the factorial function (written n!) computes n x (n-1) x (n-2) x (n-3) x ... x 1. For example: 0! is defined to be 1 1! = 1 2! = 2 x 1=2 3! = 3 x 2 x 1=6 4! = 4 x 3…

d) What is the difference between the following 2 types of functions Operate () Operate (int x)