Mastering Dynamic Programming

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Questions and Answers

What are the two requirements for dynamic programming?

Dynamic programming requires optimal substructure and overlapping sub-problems.

Define optimal substructure in the context of dynamic programming.

Optimal substructure means that the solution to a problem can be obtained by combining optimal solutions to its sub-problems.

What does overlapping sub-problems mean for recursive algorithms?

Overlapping sub-problems means that recursive algorithms should solve the same sub-problems over and over.

How many times does dynamic programming solve each sub-problem?

<p>Dynamic programming solves each sub-problem only once.</p> Signup and view all the answers

What are the two approaches to achieving efficiency in dynamic programming?

<p>The two approaches to achieving efficiency in dynamic programming are the top-down and bottom-up approach.</p> Signup and view all the answers

What is memoization and how is it used in dynamic programming?

<p>Memoization involves storing solutions to sub-problems in a table. In dynamic programming, it is used in the top-down approach to avoid solving the same sub-problems repeatedly.</p> Signup and view all the answers

In what type of languages is memoization an easily accessible design pattern?

<p>Memoization is an easily accessible design pattern in term-rewrite based languages.</p> Signup and view all the answers

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Study Notes

  • Dynamic programming requires optimal substructure and overlapping sub-problems.
  • Optimal substructure means that the solution to a problem can be obtained by combining optimal solutions to its sub-problems.
  • Overlapping sub-problems means that recursive algorithms should solve the same sub-problems over and over.
  • Dynamic programming solves each sub-problem only once.
  • This can be achieved through a top-down or bottom-up approach.
  • Top-down approach involves memoizing solutions to sub-problems in a table.
  • Bottom-up approach involves solving small sub-problems first and building up to bigger sub-problems.
  • Some programming languages have built-in memoization.
  • Memoization is only possible for referentially transparent functions.
  • Memoization is an easily accessible design pattern in term-rewrite based languages.

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