Give a recursive algorithm which takes as input a sequence of numbers and returns the minimum (i.e., smallest) member in the sequence. Your algorithm should not use an iterative loop. FindMin (al, a2,..., an) If (length (alan) = 1), Return (_A_) m: FindMin (alan-1) // The recursive call If (an 5 m) Else End-if Return (_B__) Return (_C_)

Given a list of integers, we want to know whether it is possible to choose a subset of some of the integers, such that the integers in the subset adds up to the given sum recursively. We also want that if an integer is chosen to be in the sum, the integer next to it in the list must be skipped and not chosen to be in the sum. Do not use any loops or regular expressions. Test cases: skipSum([2, 5, 10, 6], 12) true skipSum([2, 5, 10, 6], 7) false skipSum([2, 5, 10, 6], 16) false Given code: public static boolean skipSum (List list, int sum) { // call your recursive helper method return skipSumHelper (list, e, sum); 1. 2. 3. 4.

Recursion efficiency in Julia can be improved using memorization technique to store the values of previously computed functions. The following Fibonacci function below does not employ memorization, please change into a recursive function with memorization: function fib(n) if n==1 return 1 elseif n==2 return 1 elseif n<=0 printstyled("Invalid input",color=:red) return else return fib(n-1)+fib(n-2) end end

Please show and explain so I can nderstand.

Implement a recursive is_palindrome(s:str)->bool function, which checks if the given string is a palindrome or not. Examples: >>> is_palindrome('racecar') True >>> is_palindrome('racecars') False please help my homework and put here screenshot. # instruction said not using loops

solve by hand do not use code

With the Binary Search algorithm, the algorithm can be developed by the loop-based form as well as a recursive form. Which of the following is not true? O If the item is not found, the loop version returns when the range bounds reach, but the recursive version finishes when the recursive depth is more than half the initial search range. The search range starts with the whole array, and only the recursive version can work on a subrange passed through arguments. O Both forms of the program divide the search range repeatedly in half. O If the item is found, the loop version returns from the entire method, whereas the recursive version returns from one level of recursion.

Try to do it asap