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11 Dynamic Programming is a useful mathematical technique for making a sequence of interrelated decisions. It provides a systematic procedure for determining the optimal combination of decisions.
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Start by reading the introduction section of the chapter to understand the basic concepts and principles of dynamic programming.
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Who needs chapter 11 dynamic programming:

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Computer science students: Dynamic programming is a fundamental concept in computer science and programming. Understanding it can greatly improve problem-solving abilities and efficiency in software development.
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Software engineers and developers: Dynamic programming techniques are commonly used in various fields of software development, such as optimization problems, resource allocation, and data analysis. Familiarity with dynamic programming can be beneficial for designing efficient and scalable algorithms.
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Research scientists: Dynamic programming is a powerful tool for solving various optimization problems in diverse fields, including operations research, bioinformatics, economics, and artificial intelligence. Knowledge of dynamic programming can aid in developing innovative solutions and algorithms for complex real-world problems.
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