![]() ![]() Write an algorithm to check if an object contains a given value. Using the three-step process to solve a tree-search question You might see that this approach resembles the prototyping approach where you are first to solve the problem fast in an abstract way, which will provide you with fast feedback and a good overview, and when a viable solution is found you start to implement the details. We want to keep the code performant and clean so we are doing ongoing refactoring as we write the code. Before writing the code you should have a clear sense of which data structures and algorithms this solution appeals to. Now we convert the pseudocode to real code. When this pseudocode is written you can now proceed to convert this to real code. The first step when converting the logic to code is to write up the logical steps as comments, aka pseudocode. If it still works you can now proceed to convert this logic into code. When this case works, you test your conceptual solution with other inputs and expectations. This is done by going through the logical steps needed to get the desired outcome for one specific case. A common question for job interviews is searching in trees and therefore you should always be prepared to solve this with ease.Īs always then solving a problem you want to solve it conceptually before writing the actual code.
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