Data Structures and Algorithms The Complete Masterclass - Static versus Dynamic Array - Common Operations – Part 3

The video tutorial explains dynamic arrays, highlighting their ability to change size and the memory allocation process based on powers of two. It covers the complexity of operations like insertion and deletion, emphasizing the efficiency of dynamic arrays compared to static arrays. The tutorial also discusses the impact of memory management on performance and provides examples to illustrate these concepts.

What is a key advantage of dynamic arrays over static arrays?

• They do not require memory allocation.

• They use less memory.

• They allow faster insertion.

• They are easier to implement.

How does a dynamic array decide how much extra memory to reserve?

• It reserves memory based on the number of elements.

• It reserves a fixed amount of extra memory.

• It reserves memory based on the next power of two.

• It reserves double the current size.

What happens when a dynamic array exhausts its available space?

• It deletes old elements to make space.

• It copies the array to a new location with more space.

• It compresses the existing elements.

• It stops accepting new elements.

In most cases, what is the time complexity of inserting an element into a dynamic array?

• O(n)

• O(1)

• O(n^2)

• O(log n)

What is the time complexity of deleting the last element in a dynamic array?

• O(n^2)

• O(n)

• O(log n)

• O(1)

What is the time complexity of inserting an element at the beginning of a dynamic array?

• O(n^2)

• O(log n)

• O(n)

• O(1)

Why is it important to understand the complexities of dynamic arrays?

• To make informed decisions about data structures.

• To improve coding speed.

• To reduce the number of lines of code.

• To optimize memory usage.