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Objective-C实现霍夫曼树(附完整源码)
阅读量:800 次
发布时间:2023-02-22

本文共 2173 字,大约阅读时间需要 7 分钟。

Objective-C实现霍夫曼树

Huffman树(Huffman Tree)是一种用于数据压缩的二叉树结构,常用于构建霍夫曼编码。以下是用Objective-C语言实现霍夫曼树的详细示例和解释。

#import
@interface HuffmanNode : NSObject @property (nonatomic, assign) char character; @end @interface HuffmanTree : NSObject @property (nonatomic, strong) HuffmanNode *root; @property (nonatomic, strong) NSArray *nodes; -(id)initWithCharacters:(NSArray *)characters; -(HuffmanNode*)buildTree; -(NSString*)huffmanCode:(char)char; @end @implementation HuffmanTree -(id)initWithCharacters:(NSArray *)characters { self = [super init]; self.nodes = [HuffmanNode nodesWithCharacters:characters]; return self; } -(HuffmanNode*)buildTree { if ([self.nodes count] == 1) { HuffmanNode *node = [self.nodes firstObject]; node.isLeaf = YES; return node; } HuffmanNode *left = [self buildTreeForNodes:self.nodes range:0...([self.nodes count]/2)]; HuffmanNode *right = [self buildTreeForNodes:self.nodes range:([self.nodes count]/2)...[self.nodes count]]; if (left.character < right.character) { left = [right swapWithLeft:left]; } left.right = right; right.left = left; return left; } -(HuffmanNode*)buildTreeForNodes:(NSArray *)nodes range:(NSRange)range { if (range.length == 1) { HuffmanNode *node = [[HuffmanNode alloc] init]; node.character = [nodes[range.location]]; node.isLeaf = YES; return node; } NSArray *subNodes = [nodes range:range]; HuffmanNode *left = [self buildTreeForNodes:subNodes range:0...([subNodes count]/2)]; HuffmanNode *right = [self buildTreeForNodes:subNodes range:([subNodes count]/2)...[subNodes count]]; if (left.character < right.character) { left = [right swapWithLeft:left]; } left.right = right; right.left = left; return left; } -(HuffmanNode*)swapWithLeft:(HuffmanNode*)left { HuffmanNode *temp = left.right; left.right = temp.right; temp.right = left; left = temp; return left; } -(NSString*)huffmanCode:(char)char { return [self buildTree].right.huffmanCode(char); } @end

Huffman树是一种基于频率的编码树,其核心思想是将最频繁出现的字符放在树的根部,递减到叶子节点。通过这种方式,高频字符可以使用较短的编码,而低频字符则需要更长的编码,从而实现压缩率的提升。

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