🔍Linked lists require frequent memory allocation and traversal, leading to inefficient performance.
💾Vectors offer better performance and memory usage for large data sets and frequent insertions and deletions.
📈Compacting data structures and maintaining predictable usage patterns improves performance with vectors.
🔍Linear search operations dominate linked list performance.
🧮Addressing data by position in a vector is often faster than performing calculations for linked list navigation.
Why are linked lists inefficient?
—Linked lists require frequent memory allocation and traversal, leading to slower performance.
When are vectors preferred over linked lists?
—Vectors offer better performance and memory usage for large data sets and frequent insertions and deletions.
How can performance with vectors be improved?
—Compacting data structures and maintaining predictable usage patterns can improve performance with vectors.
What dominates linked list performance?
—Linear search operations dominate linked list performance.
Why is addressing data by position in a vector faster?
—Addressing data by position in a vector is often faster because it avoids the need for calculations required for linked list navigation.
00:00Linked lists can be inefficient due to frequent memory allocation and traversal.
04:44Linear search dominates linked list performance.
06:15Compacting data structures and maintaining predictable usage patterns improves performance with vectors.
09:05Addressing data by position in a vector is often faster than linked list navigation calculations.
