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Data structures & Algorithms Data structures

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Only challenges

- 1.
# What is Big O notation?

# Answer:

- 2.
# What does it mean if an operation is O(log n)?

# Answer:

- 3.
# What exactly would an O(n2) operation do?

# Answer:

- 4.
# What is Worst Case?

# Answer:

- 5.
# Why do we use Big O notation to compare algorithms?

# Answer:

- 6.
# Explain the difference between O(1) vs O(n) space complexities

# Answer:

- 7.
# Provide an example of O(1) algorithm

# Answer:

- 8.
# What is complexity of this code snippet?

# Answer:

- 9.
# What is complexity of push and pop for a Stack implemented using a LinkedList?

# Answer:

- 10.
# What is the big O notation of this function?

# Answer:

- 11.
# What is an algorithm?

# Answer:

- 12.
# What is the time complexity for "Hello, World" function?

# Answer:

- 13.
# Why do we use Big O instead of Big Theta (Î)?

# Answer:

- 14.
# What is meant by "Constant Amortized Time" when talking about time complexity of an algorithm?

# Answer:

- 15.
# Name some types of Big O complexity and corresponding algorithms

# Answer:

- 16.
# Explain your understanding of "Space Complexity" with examples

# Answer:

- 17.
# What is complexity of this code snippet?

# Answer:

- 18.
# What is complexity of "Reading a Book"?

# Answer:

- 19.
# What is the difference between Lower bound and Tight bound?

# Answer:

- 20.
# What does it mean if an operation is O(n!)?

# Answer:

- 21.
# Provide an example of algorithm with time complexity of O(ck)?

# Answer:

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