Memoization is a technique used to _______ redundant computations in dynamic programming algorithms such as computing Fibonacci numbers.
- Eliminate
- Introduce
- Optimize
- Track
Memoization is a technique used to eliminate redundant computations by storing and reusing previously computed results. In the context of dynamic programming algorithms like computing Fibonacci numbers, it helps optimize the overall computation.
A hash table typically consists of an array of _______ and a hash function that maps _______ to indices in the array.
- Buckets, keys
- Elements, addresses
- Linked lists, keys
- Nodes, values
A hash table typically consists of an array of buckets and a hash function that maps keys to indices in the array. The array is divided into buckets, each capable of holding multiple key-value pairs. The hash function determines which bucket a key should go to.
Can DFS be used to find the shortest path in a graph?
- No
- Only in acyclic graphs
- Only in weighted graphs
- Yes
No, DFS does not guarantee finding the shortest path in a graph. It can find a path, but it may not be the shortest. BFS is more suitable for finding the shortest path as it explores nodes level by level.
Can BFS be used to find the shortest path between two nodes in an unweighted graph?
- It depends
- No
- Only in directed graphs
- Yes
Yes, BFS can be used to find the shortest path between two nodes in an unweighted graph. As BFS explores the graph level by level, the first time the destination node is reached, it guarantees the shortest path as it explores nodes in order of their distance from the source.
Explain the difference between the coin change problem and the knapsack problem.
- Both problems are identical and interchangeable.
- The coin change problem involves finding the number of ways to make a specific amount using given denominations, without considering the quantity of each coin. The knapsack problem, on the other hand, considers the weight and value of items to maximize the total value in a knapsack with limited capacity.
- The coin change problem is a variation of the knapsack problem, with both focusing on maximizing the total value.
- The knapsack problem involves finding the number of ways to make a specific amount using given denominations, without considering the quantity of each coin. The coin change problem, on the other hand, considers the weight and value of items.
The main difference lies in their objectives. The coin change problem aims to find the number of ways to make a specific amount, while the knapsack problem focuses on maximizing the total value considering weight constraints.
How does a red-black tree ensure that it remains balanced after insertions and deletions?
- By assigning different colors (red or black) to each node and enforcing specific rules during insertions and deletions.
- By limiting the height of the tree to a constant value.
- By randomly rearranging nodes in the tree.
- By sorting nodes based on their values.
A red-black tree ensures balance by assigning colors (red or black) to each node and enforcing rules during insertions and deletions. These rules include properties like no consecutive red nodes and equal black height on every path, ensuring logarithmic height and balanced structure.
The ratio of successive Fibonacci numbers approaches the _______ as n increases.
- Euler's number
- Golden ratio
- Pi
- Square root of 2
As n increases, the ratio of successive Fibonacci numbers approaches the golden ratio (approximately 1.618). This unique property is a key aspect of the Fibonacci sequence's significance in various fields, including art, architecture, and nature.
To optimize the space complexity of merge sort, one can implement it iteratively using _______.
- Heaps
- Linked lists
- Queues
- Stacks
To optimize the space complexity of merge sort, one can implement it iteratively using stacks. This avoids the need for additional memory used in recursive function calls, optimizing space usage.
In Dijkstra's algorithm, how does it select the next node to visit?
- It always selects the first node in the graph
- It chooses nodes randomly
- It picks the node with the largest tentative distance value
- It selects the node with the smallest tentative distance value
Dijkstra's algorithm selects the next node to visit based on the smallest tentative distance value. It maintains a priority queue or a min-heap to efficiently retrieve the node with the minimum distance.
What is the main advantage of using DFS over BFS in certain scenarios?
- Guaranteed shortest path
- Higher speed in most cases
- Lower memory consumption
- Simplicity of implementation
The main advantage of using DFS over BFS in certain scenarios is the simplicity of implementation. DFS is often easier to implement and requires less memory overhead compared to BFS.