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Class No.24  Data Structures http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 is equal to sum  of the frequencies of  the two children nodes. http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 There a number of ways to combine nodes. We have chosen just one such way. http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 4 4 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 6 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 9 10 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 http://ecomputernotes.com a 3
Huffman Encoding ,[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 1 0 1 0 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 http://ecomputernotes.com a 3
Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 http://ecomputernotes.com a 3
Huffman Encoding ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],t r a v e http://ecomputernotes.com
Huffman Encoding ,[object Object],[object Object],[object Object],[object Object],[object Object],http://ecomputernotes.com
Mathematical Properties of Binary Trees http://ecomputernotes.com
Properties of Binary Tree ,[object Object],http://ecomputernotes.com
Properties of Binary Tree ,[object Object],internal nodes: 9 external nodes: 10 external node internal node http://ecomputernotes.com D F B C G A E F E
Properties of Binary Tree ,[object Object],http://ecomputernotes.com
Threaded Binary Tree ,[object Object],Internal links: 8 External links: 10 external link internal link http://ecomputernotes.com D F B C G A E F E
Properties of Binary Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],http://ecomputernotes.com

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Computer notes - Huffman Encoding

  • 1. Class No.24 Data Structures http://ecomputernotes.com
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 is equal to sum of the frequencies of the two children nodes. http://ecomputernotes.com a 3
  • 8. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 There a number of ways to combine nodes. We have chosen just one such way. http://ecomputernotes.com a 3
  • 9. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 http://ecomputernotes.com a 3
  • 10. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 4 4 http://ecomputernotes.com a 3
  • 11. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 6 http://ecomputernotes.com a 3
  • 12. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 9 10 http://ecomputernotes.com a 3
  • 13. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 http://ecomputernotes.com a 3
  • 14. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 http://ecomputernotes.com a 3
  • 15.
  • 16.
  • 17.
  • 18. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 http://ecomputernotes.com a 3
  • 19. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 1 0 1 0 http://ecomputernotes.com a 3
  • 20. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 http://ecomputernotes.com a 3
  • 21. Huffman Encoding v 1 y 1 SP 3 r 5 h 1 e 5 g 1 b 1 NL 1 s 2 n 2 i 2 d 2 t 3 2 2 2 5 4 4 4 8 6 14 9 19 10 33 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 http://ecomputernotes.com a 3
  • 22.
  • 23.
  • 24.
  • 25. Mathematical Properties of Binary Trees http://ecomputernotes.com
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.

Notas do Editor

  1. Start of Lecture 26
  2. End of lecture 25.
  3. End of lecture 26
  4. Start lecture 27