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Dynamic Programming for optimizing LED connections without wire crossings.

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Max LED Lighting project

Description:

Dynamic programming was used to optimize connecting the longest consecutive LEDs sequence to a power sources without wire crossing. The battery board is numbered 1 through N, where N is the number of LEDs. The algorithm used was Longest Common Subsequence (LCS) algorithm between the LEDs sequence and battery numbering.

GUI Details:

  • DP Table: Displays the decision-making process and connections.
  • Graphical Representation: Offers a visualization to the LED connections( Detailed version for a small number of LEDs and a simpler version for larger numbers of LEDs).

Main Page:

LED1


Dynamic Programming Table:

LED2


LED Connections (small number of LED):

LED3


LED Connections (large number of LED):

LED4

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