I have an application that manages a large number of strings. Strings are in a path-like format and have many common parts, but without a clear rule. They are not paths on the file-system but can be c
So Currently I have a program that creates a huffman tree.the tree is made up of \"Hnodes\" with these fields: right (points to right child) left (points to left child) code (string of integers, ideal
I\'ve been trying a lot of different things here and can\'t seem to get it to work.The input was \"abbcccddddeeeee\", which gives a linked list a, b, c, d, e with frequencies 1, 2, 3, 4, 5, respective
A Prefix Code is a set of codes such that no code is a prefix of another code.For example, the following set is a prefix code:
I\'ve been trying to implement a huffman decoder, and my initial attempt suffered from low performance due to a sub-optimal choice of decoding algorithm.
I am having problem with how to convert huffman encoding string to binary python. This question involves nothing of the huffman algorithm.
while(count != 25) { tail = head; new_node = (binary_node*)malloc(sizeof(binary_node)); while(tail->next != N开发者_运维百科ULL)
Currently, I am developing an app that needs to store large amount of text on an iPad. My question is, are algorithms like Huffman coding actually used in production? I just need a very simple compres
I have tried methods using the struct module, as shown by the lines commented out in my code, but it didn\'t work out. Basically I have two options: I can either write the binary data code by code (my
I am trying to read a JT File. JT file may have information which is compressed by using Huffman Algorithm.
加载中,请稍侯......