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summary - Dynamic Programming
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  • Course
  • Algorithmics
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  • 12th Grade

Elevate your problem-solving skills with our meticulously crafted notes on dynamic programming. These comprehensive notes serve as a valuable resource for students, researchers, and professionals seeking to master this essential technique for solving complex optimization problems.

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Document information

  • May 28, 2023
  • 2
  • 2022/2023
  • Summary

Subjects

  • computing
  • coding
  • programming
  • computer science

Written for

  • Secondary school
  • Algorithmics
  • 8
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Dynamic programming
course Algorithmics

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Dynamic Programming
Introduction
Dynamic Programming is a problem-solving technique used in computer science to
break down complex problems into smaller, more manageable sub-problems. These
sub-problems are then solved individually, and their solutions are combined to solve
the original problem.


How It Works
Dynamic Programming works by solving sub-problems and storing their solutions in
a table to avoid re-calculating them. The answers to the sub-problems are used to
solve the original problem.
For example, imagine you have a big jigsaw puzzle. You can't put all the pieces
together at once, so you start by finding the edge pieces and putting them together.


Dynamic programming 1

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