The answer
It is the engineering principle that increasing the speed of an algorithm (Time) usually requires consuming more memory (Space), and vice versa.
Time vs Space Trade-offs in Software Engineering
What is the Time-Space Trade-off?
More FAQs in Time vs Space Trade-offs in Software Engineering
Because modern computers and cloud servers have vast amounts of cheap RAM, making CPU execution time the primary bottleneck for user experience and scale.
It consumes O(N) memory to store data, but in exchange, it provides O(1) instant lookups, entirely eliminating the need for slow O(N) searching loops.
An in-place algorithm modifies the input data directly without creating any new data structures, guaranteeing an optimal O(1) auxiliary space complexity.
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