Preparing for algorithm-heavy coding contests requires a systematic approach. Start by building a strong foundation in the core algorithms and data structures that frequently appear in contests. These include sorting algorithms (e.g., quicksort, mergesort), searching algorithms (e.g., binary search), and dynamic programming techniques for optimization problems. Graph algorithms like BFS, DFS, Dijkstra's, and Floyd-Warshall are also commonly tested, especially in contests with pathfinding or connectivity problems. Once you're familiar with the basic algorithms, practice solving problems that require applying them in creative ways. For example, some problems may require you to combine multiple algorithms, such as using a graph traversal method with dynamic programming to solve a complex problem efficiently. Participating in online contests on platforms like Codeforces, AtCoder, or LeetCode is one of the best ways to practice under real competition conditions. These contests not only test your knowledge of algorithms but also challenge your ability to recognize patterns in problems and come up with the right approach quickly. After each contest, review the problems you couldn't solve and learn from the editorial solutions. Over time, you'll build a mental library of patterns and techniques that will help you excel in algorithm-heavy contests.