Why do tech companies ask difficult algorithms questions in the technical interview?

Is there a difference between having 2 arrays each of size X and 1 array of size 2X?

What algorithmic paradigms are very useful for interviews?

What is the best way to learn data structure and algorithm for an average programmer?

What kind of algorithms questions can not be solved with Javascript?

Is it okay to lie to a lier?

Why should we use algorithms and flow charts in C++?

Is a good understanding of second order optimization algorithms necessary to understand deep learning?

Is there any algorithm that generates all possible permutations of n elements without using a single swap of elements?

How do I perform an evaluation on the recommender algorithm using negative tests?

How do I make a project in C++?

Why is math so overrated / overused?

A computational graph in TensorFlow is a DAG (directed acyclic graph). How does it account for looping in the program if the graph is acyclic?

Can I improve my SRM (algorithm) rating in Topcoder by submitting practice problems, or does it only improve by participating in SRMs?

Why is any connected graph with exactly two odd vertices traversable or Eulerian?

What are the pros and cons of Estonia getting the first AI member of parliament?

Why are some algorithms more efficient than others? Why is binary search preferred over linear?

What are the best algorithm learning websites?

Am I learning too slow if I spend 4 months to really understand recursion?

How do I learn Core Java, data structure and algorithms from scratch in the best possible way and the least amount of time?