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Understanding the Problem Constraints

Before we dive into solving the coin change problem, let's first understand the constraints and requirements of the problem.

The coin change problem can be defined as follows:

  • You are given a set of coin denominations, represented by an array of positive integers.
  • Each coin has a certain value, which is represented by its denomination.
  • You are also given an amount, which is a positive integer that represents the target amount of change you need to make.
  • The goal is to find the minimum number of coins needed to make the given amount of change using the available coin denominations.

To solve the problem, you need to consider the following constraints:

  1. Coin denominations: The coin denominations are represented by an array of positive integers. Each coin denomination indicates the value of the coin. For example, if the coin denominations are [1, 2, 5], it means you have coins with values 1, 2, and 5.
  2. Amount of change: The amount of change you need to make is a positive integer. It represents the target amount that you need to achieve using the available coin denominations.

Now, let's consider an example to better understand the problem constraints. Suppose you have the following coin denominations: [1, 2, 5] and you need to make the amount 11. The goal is to find the minimum number of coins needed to make 11 using the available coin denominations.

To solve this problem, we can use dynamic programming, which is an optimization technique that solves complex problems by breaking them down into smaller overlapping subproblems. By solving these subproblems and storing their solutions, we can avoid redundant computations and greatly improve performance. In the upcoming sections of this tutorial, we will explore various solutions to the coin change problem using dynamic programming techniques.

Now that we have a clear understanding of the problem constraints, let's move on to the next section where we will discuss the recursive solution to the coin change problem.

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