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Algorithmic thinking is a problem-solving strategy that involves breaking down complex problems into smaller, manageable parts, and representing them using abstract structures, such as trees, graphs, or other mathematical constructs. This approach is commonly used in computer science, mathematics, and engineering to develop efficient and effective solutions to real-world problems.
The term "algorithm" was first used by the 9th-century Persian mathematician Muhammad ibn Musa al-Khwarizmi, who
Algorithmic thinking involves several key components, including:
1. Declarative problem definition: Clearly defining the problem to be solved, including the input, output, and
2. Abstract data structure representation: Representing the problem as a mathematical structure, such as a graph
3. Recursive or iterative solution development: Breaking down the problem into smaller sub-problems, and using recursive
4. Proof and verification: Verifying the correctness of the solution, and ensuring that it meets the specified
Algorithmic thinking is a fundamental aspect of many fields, including artificial intelligence, data analysis, computer graphics,