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README.md

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|Array-based heap|1. Max-heap and min-heap<br>2. Min-max heap<br>3. Double-ended heap (deap)<br>4. d-ary heap|||
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|Tree-based heap|1. Leftist heap<br>2. Skew heap<br>3. Binomial heap<br>4. Fibonacci heap<br>5. Pairing heap|||
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|Search|1. Hash table<br>2. Skip list<br>3. Binary search tree<br>4. AVL tree<br>5. B-tree / B+ tree / B* tree<br>6. AA tree<br>7. Red-black tree<br>8. Sorted binary heap<br>9. Splay tree<br>10. Double-chained tree<br>11. Trie<br>12. R-tree|||
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## Algorithm
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|Number theory||1. Greatest common divisor<br> 2. Least common multiple<br>3. Prime factorization<br>4. Primality testing<br>5. Base conversion<br>6. Arbitrary-precision arithmetic<br>7. Divisibility<br>8. Congruences<br>9. Euler's totient function<br>10. Extended Euclidean algorithm<br>11. Permutation groups<br>12. Generating functions<br>13. Discrete transforms<br>14. Cantor expansion<br>15. Matrices<br>16. Vectors<br>17. Systems of linear equations<br>18. Linear programming<br> ||
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|Geometry||1. Convex hull - gift wrapping<br>2. Convex hull - Graham scan<br>3. Line-segment problems<br> 4. Problems on polygons and polyhedra<br>||
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|NP-completeness|1. Computation models<br>2. Class-P and class-NP problems<br>3. NP-complete problems<br>4. Approximation algorithms for NP-complete problems<br>|1. Random-access machine (RAM)<br>2. Random-access stored-program machine (RASP)<br>3. Turing machine<br>4. Non-deterministic Turing machine<br>5. Class-P and class-NP languages<br>6. Polynomial-time verification<br>7. Polynomial-time reduction<br>8. Cook's theorem<br>9. CNF satisfiability (CNF-SAT)<br>10. 3-CNF satisfiability (3-SAT)<br>11. Clique problem (CLIQUE)<br>12. Vertex-cover problem (VERTEX-COVER)<br>13. Subset-sum problem (SUBSET-SUM)<br>14. Hamiltonian-cycle problem (HAM-CYCLE)<br>15. Traveling-salesman problem (TSP)<br>16. Approximation algorithm for vertex cover<br>17. Approximation algorithm for TSP<br>18. TSP with the triangle inequality<br>19. General TSP<br>20. Approximation algorithm for set cover<br>21. Approximation algorithm for subset sum<br>22. Exponential-time algorithm for subset sum<br>23. Polynomial-time approximation scheme for subset sum<br>||
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## LeetCode Problems
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|Total|600|1305|539|2444|
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|Perfection Rate|89.2%|83.9%|69.7%|83.4%|
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|Completion Rate|47.8%|37.1%|26.3%|37.4%|
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## 2. Directory
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|2442|Count Number of Distinct Integers After Reverse Operations||78.8%|Medium||
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|2443|Sum of Number and Its Reverse||40.6%|Medium||
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|2444|Count Subarrays With Fixed Bounds||38.4%|Hard||
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Thanks for your Star!
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[![Star History Chart](https://api.star-history.com/svg?repos=halfrost/LeetCode-Go&type=Date)](https://star-history.com/#halfrost/LeetCode-Go&Date)
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[![Star History Chart](https://api.star-history.com/chart?repos=halfrost/LeetCode-Go&type=date&legend=top-left&sealed_token=EQkNj9wWdqUge56cVafCkwjphuAeZuxwsNNiR0KstjGR4b5wfg5byc4GRkcJHWsW1L0oXyq9peCFb-COlsFW6k-WoKEZX6bA6tHyv0YGQl9qIl0GmgFo6movMRy7LzJhMwZW_zPMT0oXVZ2SQQdzSumyKiFE0lmZZy3dvlRPtTpg0pr2Uh13bYdXH_y7)](https://www.star-history.com/?type=date&repos=halfrost%2FLeetCode-Go)
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README_zh.md

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|数组实现的堆|1. 极大堆和极小堆<br>2. 极大极小堆<br>3. 双端堆<br>4. d 叉堆|||
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|树实现的堆|1. 左堆<br>2. 扁堆<br>3. 二项式堆<br>4. 斐波那契堆<br>5. 配对堆|||
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|查找|1. 哈希表<br>2. 跳跃表<br>3. 排序二叉树<br>4. AVL 树<br>5. B 树 / B+ 树 / B* 树<br>6. AA 树<br>7. 红黑树<br>8. 排序二叉堆<br>9. Splay 树<br>10. 双链树<br>11. Trie 树<br>12. R 树|||
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## Algorithm
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|数论||1. 最大公约数<br> 2. 最小公倍数<br>3. 分解质因数<br>4. 素数判定<br>5. 进制转换<br>6. 高精度计算<br>7. 整除问题<br>8. 同余问题<br>9. 欧拉函数<br>10. 扩展欧几里得<br>11. 置换群<br>12. 母函数<br>13. 离散变换<br>14. 康托展开<br>15. 矩阵<br>16. 向量<br>17. 线性方程组<br>18. 线性规划<br> ||
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|几何||1. 凸包 - Gift wrapping<br>2. 凸包 - Graham scan<br>3. 线段问题<br> 4. 多边形和多面体相关问题<br>||
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|NP 完全|1. 计算模型<br>2. P 类与 NP 类问题<br>3. NP 完全问题<br>4. NP 完全问题的近似算法<br>|1. 随机存取机 RAM<br>2. 随机存取存储程序机 RASP<br>3. 图灵机<br>4. 非确定性图灵机<br>5. P 类与 NP 类语言<br>6. 多项式时间验证<br>7. 多项式时间变换<br>8. Cook定理<br>9. 合取范式的可满足性问题 CNF-SAT<br>10. 3 元合取范式的可满足性问题 3-SAT<br>11. 团问题 CLIQUE<br>12. 顶点覆盖问题 VERTEX-COVER<br>13. 子集和问题 SUBSET-SUM<br>14. 哈密顿回路问题 HAM-CYCLE<br>15. 旅行售货员问题 TSP<br>16. 顶点覆盖问题的近似算法<br>17. 旅行售货员问题近似算法<br>18. 具有三角不等式性质的旅行售货员问题<br>19. 一般的旅行售货员问题<br>20. 集合覆盖问题的近似算法<br>21. 子集和问题的近似算法<br>22. 子集和问题的指数时间算法<br>23. 子集和问题的多项式时间近似格式<br>||
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## LeetCode Problems
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|Total|600|1305|539|2444|
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|Perfection Rate|89.2%|83.9%|69.7%|83.4%|
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|Completion Rate|47.8%|37.1%|26.3%|37.4%|
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## 二. 目录
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|2442|Count Number of Distinct Integers After Reverse Operations||78.8%|Medium||
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|2443|Sum of Number and Its Reverse||40.6%|Medium||
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|2444|Count Subarrays With Fixed Bounds||38.4%|Hard||
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Thanks for your Star!
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[![Star History Chart](https://api.star-history.com/svg?repos=halfrost/LeetCode-Go&type=Date)](https://star-history.com/#halfrost/LeetCode-Go&Date)
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[![Star History Chart](https://api.star-history.com/chart?repos=halfrost/LeetCode-Go&type=date&legend=top-left&sealed_token=EQkNj9wWdqUge56cVafCkwjphuAeZuxwsNNiR0KstjGR4b5wfg5byc4GRkcJHWsW1L0oXyq9peCFb-COlsFW6k-WoKEZX6bA6tHyv0YGQl9qIl0GmgFo6movMRy7LzJhMwZW_zPMT0oXVZ2SQQdzSumyKiFE0lmZZy3dvlRPtTpg0pr2Uh13bYdXH_y7)](https://www.star-history.com/?type=date&repos=halfrost%2FLeetCode-Go)
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