We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Fun with Algorithms and Data Structures - Beth Anderson
Discover the fascinating world of algorithms and data structures, exploring concepts from heaps and graphs to Dijkstra's algorithm and self-balancing trees, and learn how they can be used to solve problems in various domains.
- Fun with algorithms and data structures can be a fascinating topic.
- Data structures can be complex, having multiple connections between nodes, such as a graph.
- Heaps are often implemented with an array, with each element representing a node.
- Time complexity is the time it takes to execute an algorithm, measured in Big O notation.
- Space complexity is the amount of memory used by an algorithm.
- Dijkstra’s algorithm is a famous shortest path algorithm.
- Self-balancing trees can be used to ensure efficient traversal.
- Linked lists and queues can be used to implement heap and priority queue data structures.
- Scheduling and prioritizing tasks can be achieved using algorithms and data structures.
- Balancing trees can be achieved using techniques like inserting nodes from one side until that side is full, or removing the heaviest node and inserting it at the root.
- Data structures like stacks and queues can be used to implement algorithms.
- Graph traversal algorithms like DFS and BFS exist, and can be used to traverse complex data structures.
- Algorithms and data structures can be used to solve problems in many domains.
- Fun with algorithms and data structures can lead to a deeper understanding and appreciation of computer science.