🟧JavaScript Solution🟧
Intuition\nThe problem requires implementing a custom reduce function that sequentially applies a given function "fn" to elements of an array "nums", starting w
# Intuition\nThe problem requires implementing a custom reduce function that sequentially applies a given function "fn" to elements of an array "nums", starting with an initial value "init". The goal is to accumulate the result of these applications and return the final accumulated value.\n\n\n\n# Approach\n1. **Initialization:** Start by setting the accumulator accum to the initial value init.\n2. **Iteration:** Iterate through each element of the array nums.\n3. **Function Application:** In each iteration, update the accumulator accum by applying the function fn to the current value of accum and the current element of nums.\n4. **Return Result:** After processing all elements, return the accumulated value accum.\n\n# Complexity\n- **Time Complexity:** The time complexity is O(n), where \n\uD835\uDC5B\nn is the length of the array nums. This is because we need to iterate through all elements of the array once.\n- **Space Complexity:** The space complexity is O(1) because we are using a constant amount of extra space for the accumulator and the loop variable, regardless of the size of the input array.\n\n# Code\n```\n/**\n * @param {number[]} nums\n * @param {Function} fn\n * @param {number} init\n * @return {number}\n */\nvar reduce = function(nums, fn, init) {\n    var accum = init\n\n    for (var i = 0; i < nums.length; i++) {\n        accum = fn(accum, nums[i]);\n    }\n\n    return accum;\n};\n```
['JavaScript']