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// The problem asks us to transform an array of non-negative integers into an array of all zeros using a specific operation. The operation involves choosing an index `i` and a non-negative integer `x`, then subtracting `x` from `nums[i]` and `nums[i+1]`. We want to find the minimum total sum of `x` values used.
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// Let's analyze the operation. When we subtract `x` from `nums[i]` and `nums[i+1]`, it means `nums[i]` and `nums[i+1]` are reduced by the same amount. This suggests a greedy approach from left to right.
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// Consider `nums[0]`. To make `nums[0]` zero, we must apply an operation at index `0` with `x = nums[0]`. This will also affect `nums[1]`. After this operation, `nums[0]` becomes zero. We then move to `nums[1]` (which has been modified) and repeat the process.
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// Let's try a direct greedy approach. Iterate from `i = 0` to `n-1`.
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// For each `nums[i]`, if `nums[i]` is not zero, we must perform an operation at index `i` to make it zero. The value of `x` for this operation must be `nums[i]` itself. This operation will also subtract `nums[i]` from `nums[i+1]` (if `i+1 < n`).
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// We add `nums[i]` to our total operations count.
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// Example:
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// nums = [1, 2, 3]
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// i = 0: nums[0] = 1. We need to subtract 1 from nums[0] and nums[1].
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// x = 1. Total operations = 1.
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// nums becomes [0, 1, 3]
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// i = 1: nums[1] = 1. We need to subtract 1 from nums[1] and nums[2].
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// x = 1. Total operations = 1 + 1 = 2.
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// nums becomes [0, 0, 2]
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// i = 2: nums[2] = 2. We need to subtract 2 from nums[2] (and nums[3] if it existed, but it doesn't).
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// x = 2. Total operations = 2 + 2 = 4.
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// nums becomes [0, 0, 0]
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// This greedy strategy seems to work. For each element `nums[i]`, if it's positive, we must reduce it to zero. The only way to reduce `nums[i]` without affecting `nums[0...i-1]` (which we've already made zero) is to apply the operation at index `i`. The amount we subtract, `x`, must be exactly `nums[i]` to make it zero. This `x` then also reduces `nums[i+1]`.
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