Which problem-solving approach sacrifices accuracy to gain speed, often described as 'Rules of Thumb'?

Which problem-solving approach sacrifices accuracy to gain speed, often described as 'Rules of Thumb'?

• A. Heuristic solution
• B. Linear Algorithm
• C. Merge Sort
• D. Pseudocode

Answer: (A)

Heuristics are problem-solving approaches that rely on rules of thumb, quick judgments, or educated guesses to produce a solution rapidly. They are designed to deliver a usable result fast, even if that result isn’t guaranteed to be perfect or fully optimal. In many real-world tasks, speed matters more than absolute accuracy, so heuristics intentionally trade some precision for speed. That’s why this option best fits the description of sacrificing accuracy to gain speed. The others represent exact or formal methods: a linear algorithm processes data in time proportional to the input size and aims for correctness, not approximation; merge sort is an exact sorting algorithm with guaranteed correctness; pseudocode is simply a high-level description of steps, not a method that inherently sacrifices accuracy.

Heuristics are problem-solving approaches that rely on rules of thumb, quick judgments, or educated guesses to produce a solution rapidly. They are designed to deliver a usable result fast, even if that result isn’t guaranteed to be perfect or fully optimal. In many real-world tasks, speed matters more than absolute accuracy, so heuristics intentionally trade some precision for speed. That’s why this option best fits the description of sacrificing accuracy to gain speed.

The others represent exact or formal methods: a linear algorithm processes data in time proportional to the input size and aims for correctness, not approximation; merge sort is an exact sorting algorithm with guaranteed correctness; pseudocode is simply a high-level description of steps, not a method that inherently sacrifices accuracy.