Algorithmic Design & Data Structure Techniques
Structured programs are developed using algorithmic design & data structures, solving complex problems efficiently. Understanding the Problem • Algorithmic Design: Start by breaking down complex problems into smaller subproblems using techniques like divide and conquer, greedy algorithms, or dynamic programming to understand the problem requirements. • Data Structures: Choose appropriate data structures based on problem requirements, such as using arrays for contiguous memory allocation or trees for hierarchical data representation. Selecting Suitable Algorithms and Data Structures • Algorithmic Design: Depending on the problem type (searching, sorting, optimization, etc.), choose algorithms like binary search, quicksort, or BFS/DFS for graph traversal. • Data Structures: When it comes to data structures, it's important to choose efficient ones. For example, hash tables provide constant time lookups, while balanced trees like AVL or Red-Black ...