Technical Interview Techniques: Dynamic Programming
Dynamic Programming is a technique we can apply to difficult questions that ask us to maximize a value given many options or constraints.
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Dynamic Programming Optimal Substructure
Dynamic Programming
Dynamic Programming
Dynamic Programming Problem Variable
Dynamic Programming Optimal Substructure
Dynamic Programming Optimal Substructure
A problem has optimal substructure if its sub-problems have optimal solutions that constitute the problem’s optimal solution. This type of problem can be solved using dynamic programming.
Technical Interview Problems: Dynamic Programming
Lesson 1 of 1
- 1Dynamic programming is an optimization strategy for designing algorithms. The technique is beneficial for technical interviews because solving problems with an optimal big O runtime will improve yo…
- 2Storing answers to sub-problems is an essential aspect of dynamic programming. Let’s explore why this is the case. The Fibonacci Sequence is a series of numbers where the next number equals the …
- 3The Fibonacci sequence is a perfect case to apply dynamic programming. Each Fibonacci number relies on two previous numbers, and those numbers never change. We have overlapping sub-problems! W…
- 4Dynamic programming is especially helpful for problems where there are many different options and we have a particular goal we’re trying to maximize. For the sake of learning, we’re going to imagi…
- 5Our brute force approach is inefficient! We’re compounding work by creating many different combinations that contain the same items. Just like with Fibonacci, we’re repeating computations that won’…
- 6With our grid built, we only need to fill it in to find our optimal value. Remember: each column is the capacity of a knapsack and each row is an item we can add. The first row is “no item” and the…
- 7Dynamic programming is a technique to optimize solutions for problems which have a structure that involves repeated, identical computations. For dynamic programming to work, it’s essential that t…
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Technical Interview Techniques: Dynamic Programming
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