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-- [Dynamic Programming](/wiki/dynamic_programming)
-- [Greedy Algorithm](/wiki/greedy_algorithm)
-- [Sorting Algorithms](/wiki/sorting_algorithms)
-- [Binary Search](/wiki/binary_search)
+For divide in conquer in context of algorithms look [Divide_and_conquer_algorithm](https://fdh5g93z3smd67nfz2w6.c.websim.com/wiki/divide_and_conquer_algorithm)\
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+- [...](/wiki/dynamic_programming)
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-Divide And Conquer is a powerful [algorithm design](/wiki/algorithm_design) paradigm that solves a problem by breaking it into smaller sub-problems of the same type. These sub-problems are solved independently, often using [recursion](/wiki/recursion), and their solutions are then combined to solve the original larger problem, gracefully managing complexity.
-## See also
-- [Dynamic Programming](/wiki/dynamic_programming)
-- [Greedy Algorithm](/wiki/greedy_algorithm)
-- [Sorting Algorithms](/wiki/sorting_algorithms)
+The "divide-and-conquer" strategy is a classic approach used in various contexts, including war, conflict, and manipulation. It involves breaking down a larger, more complex problem or opponent into smaller, more manageable parts, and then dealing with each part individually to achieve a larger goal. This strategy has been employed throughout history in military tactics, political maneuvering, and social manipulation. Here are some key aspects of how divide-and-conquer can be applied in these contexts:
+### War and Conflict
+1. **Military Tactics**:
+ - **Historical Examples**: One of the most famous examples of divide-and-conquer in military history is Julius Caesar's conquest of Gaul. By systematically defeating individual tribes and alliances, Caesar was able to conquer the entire region.
+ - **Modern Warfare**: In contemporary conflicts, divide-and-conquer can involve isolating and neutralizing key enemy strongholds or supply lines, thereby weakening the overall enemy force.
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#13 months ago
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Auto-generated stub article
+Divide And Conquer is a powerful [algorithm design](/wiki/algorithm_design) paradigm that solves a problem by breaking it into smaller sub-problems of the same type. These sub-problems are solved independently, often using [recursion](/wiki/recursion), and their solutions are then combined to solve the original larger problem, gracefully managing complexity.
+## See also
+- [Dynamic Programming](/wiki/dynamic_programming)
+- [Greedy Algorithm](/wiki/greedy_algorithm)
+- [Sorting Algorithms](/wiki/sorting_algorithms)
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