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# Analysis #01 — When Arithmetic Cannot Be Trusted
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# #01 — When Arithmetic Cannot Be Trusted
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## 1. The Problem
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# Analysis #02 — Floating Point Equality Is a Lie
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# #02 — Floating Point Equality Is a Lie
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## Problem
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Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.
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You may assume that each input would have exactly one solution, and you may not use the same element twice.
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You can return the answer in any order.
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Example 1:
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Input: nums = [2,7,11,15], target = 9
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Output: [0,1]
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Explanation: Because nums[0] + nums[1] == 9, we return [0, 1].
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Example 2:
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Input: nums = [3,2,4], target = 6
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Output: [1,2]
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Example 3:
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Input: nums = [3,3], target = 6
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Output: [0,1]
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Constraints:
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2 <= nums.length <= 104
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-109 <= nums[i] <= 109
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-109 <= target <= 109
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Only one valid answer exists.
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Follow-up: Can you come up with an algorithm that is less than O(n2) time complexity?
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# Analysis #03 — Two Sum Is Not About Numbers
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# #03 — Two Sum Is Not About Numbers
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---
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