This commit is contained in:
krahets 2023-09-26 11:20:26 +08:00
parent 9faf85b7a3
commit 1459c07f80
5 changed files with 296 additions and 68 deletions

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@ -1568,7 +1568,24 @@ status: new
=== "Dart"
```dart title="recursion.dart"
[class]{}-[func]{forLoopRecur}
/* 使用迭代模拟递归 */
int forLoopRecur(int n) {
// 使用一个显式的栈来模拟系统调用栈
List<int> stack = [];
int res = 0;
// 递:递归调用
for (int i = n; i > 0; i--) {
// 通过“入栈操作”模拟“递”
stack.add(i);
}
// 归:返回结果
while (!stack.isEmpty) {
// 通过“出栈操作”模拟“归”
res += stack.removeLast();
}
// res = 1+2+3+...+n
return res;
}
```
=== "Rust"

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@ -321,9 +321,35 @@ comments: true
=== "C"
```c title="climbing_stairs_backtrack.c"
[class]{}-[func]{backtrack}
/* 回溯 */
void backtrack(int *choices, int state, int n, int *res, int len) {
// 当爬到第 n 阶时,方案数量加 1
if (state == n)
res[0]++;
// 遍历所有选择
for (int i = 0; i < len; i++) {
int choice = choices[i];
// 剪枝:不允许越过第 n 阶
if (state + choice > n)
break;
// 尝试:做出选择,更新状态
backtrack(choices, state + choice, n, res, len);
// 回退
}
}
[class]{}-[func]{climbingStairsBacktrack}
/* 爬楼梯:回溯 */
int climbingStairsBacktrack(int n) {
int choices[2] = {1, 2}; // 可选择向上爬 1 或 2 阶
int state = 0; // 从第 0 阶开始爬
int *res = (int *)malloc(sizeof(int));
*res = 0; // 使用 res[0] 记录方案数量
int len = sizeof(choices) / sizeof(int);
backtrack(choices, state, n, res, len);
int result = *res;
free(res);
return result;
}
```
=== "Zig"
@ -576,9 +602,20 @@ $$
=== "C"
```c title="climbing_stairs_dfs.c"
[class]{}-[func]{dfs}
/* 搜索 */
int dfs(int i) {
// 已知 dp[1] 和 dp[2] ,返回之
if (i == 1 || i == 2)
return i;
// dp[i] = dp[i-1] + dp[i-2]
int count = dfs(i - 1) + dfs(i - 2);
return count;
}
[class]{}-[func]{climbingStairsDFS}
/* 爬楼梯:搜索 */
int climbingStairsDFS(int n) {
return dfs(n);
}
```
=== "Zig"
@ -880,9 +917,32 @@ $$
=== "C"
```c title="climbing_stairs_dfs_mem.c"
[class]{}-[func]{dfs}
/* 记忆化搜索 */
int dfs(int i, int *mem) {
// 已知 dp[1] 和 dp[2] ,返回之
if (i == 1 || i == 2)
return i;
// 若存在记录 dp[i] ,则直接返回之
if (mem[i] != -1)
return mem[i];
// dp[i] = dp[i-1] + dp[i-2]
int count = dfs(i - 1, mem) + dfs(i - 2, mem);
// 记录 dp[i]
mem[i] = count;
return count;
}
[class]{}-[func]{climbingStairsDFSMem}
/* 爬楼梯:记忆化搜索 */
int climbingStairsDFSMem(int n) {
// mem[i] 记录爬到第 i 阶的方案总数,-1 代表无记录
int *mem = (int *)malloc((n + 1) * sizeof(int));
for (int i = 0; i <= n; i++) {
mem[i] = -1;
}
int result = dfs(n, mem);
free(mem);
return result;
}
```
=== "Zig"
@ -1126,7 +1186,23 @@ $$
=== "C"
```c title="climbing_stairs_dp.c"
[class]{}-[func]{climbingStairsDP}
/* 爬楼梯:动态规划 */
int climbingStairsDP(int n) {
if (n == 1 || n == 2)
return n;
// 初始化 dp 表,用于存储子问题的解
int *dp = (int *)malloc((n + 1) * sizeof(int));
// 初始状态:预设最小子问题的解
dp[1] = 1;
dp[2] = 2;
// 状态转移:从较小子问题逐步求解较大子问题
for (int i = 3; i <= n; i++) {
dp[i] = dp[i - 1] + dp[i - 2];
}
int result = dp[n];
free(dp);
return result;
}
```
=== "Zig"
@ -1336,7 +1412,18 @@ $$
=== "C"
```c title="climbing_stairs_dp.c"
[class]{}-[func]{climbingStairsDPComp}
/* 爬楼梯:空间优化后的动态规划 */
int climbingStairsDPComp(int n) {
if (n == 1 || n == 2)
return n;
int a = 1, b = 2;
for (int i = 3; i <= n; i++) {
int tmp = b;
b = a + b;
a = tmp;
}
return b;
}
```
=== "Zig"

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@ -6,7 +6,7 @@ comments: true
树代表的是“一对多”的关系,而图则具有更高的自由度,可以表示任意的“多对多”关系。因此,我们可以把树看作是图的一种特例。显然,**树的遍历操作也是图的遍历操作的一种特例**。
图和树都需要应用搜索算法来实现遍历操作。图的遍历方式可分为两种:「广度优先遍历 breadth-first traversal」和「深度优先遍历 depth-first traversal」。它们也常被称为「广度优先搜索 breadth-first search」和「深度优先搜索 depth-first search」简称 BFS 和 DFS 。
图和树都需要应用搜索算法来实现遍历操作。图的遍历方式可分为两种:「广度优先遍历 breadth-first traversal」和「深度优先遍历 depth-first traversal」。它们也常被称为「广度优先搜索 breadth-first search」和「深度优先搜索 depth-first search」简称 BFS 和 DFS 。
## 9.3.1 &nbsp; 广度优先遍历

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@ -2392,20 +2392,16 @@ comments: true
/* 开放寻址哈希表 */
class HashMapOpenAddressing {
late int _size; // 键值对数量
late int _capacity; // 哈希表容量
late double _loadThres; // 触发扩容的负载因子阈值
late int _extendRatio; // 扩容倍数
int _capacity = 4; // 哈希表容量
double _loadThres = 2.0 / 3.0; // 触发扩容的负载因子阈值
int _extendRatio = 2; // 扩容倍数
late List<Pair?> _buckets; // 桶数组
late Pair _removed; // 删除标记
Pair _TOMBSTONE = Pair(-1, "-1"); // 删除标记
/* 构造方法 */
HashMapOpenAddressing() {
_size = 0;
_capacity = 4;
_loadThres = 2.0 / 3.0;
_extendRatio = 2;
_buckets = List.generate(_capacity, (index) => null);
_removed = Pair(-1, "-1");
}
/* 哈希函数 */
@ -2418,19 +2414,42 @@ comments: true
return _size / _capacity;
}
/* 搜索 key 对应的桶索引 */
int findBucket(int key) {
int index = hashFunc(key);
int firstTombstone = -1;
// 线性探测,当遇到空桶时跳出
while (_buckets[index] != null) {
// 若遇到 key ,返回对应桶索引
if (_buckets[index]!.key == key) {
// 若之前遇到了删除标记,则将键值对移动至该索引
if (firstTombstone != -1) {
_buckets[firstTombstone] = _buckets[index];
_buckets[index] = _TOMBSTONE;
return firstTombstone; // 返回移动后的桶索引
}
return index; // 返回桶索引
}
// 记录遇到的首个删除标记
if (firstTombstone == -1 && _buckets[index] == _TOMBSTONE) {
firstTombstone = index;
}
// 计算桶索引,越过尾部返回头部
index = (index + 1) % _capacity;
}
// 若 key 不存在,则返回添加点的索引
return firstTombstone == -1 ? index : firstTombstone;
}
/* 查询操作 */
String? get(int key) {
int index = hashFunc(key);
// 线性探测,从 index 开始向后遍历
for (int i = 0; i < _capacity; i++) {
// 计算桶索引,越过尾部返回头部
int j = (index + i) % _capacity;
// 若遇到空桶,说明无此 key ,则返回 null
if (_buckets[j] == null) return null;
// 若遇到指定 key ,则返回对应 val
if (_buckets[j]!.key == key && _buckets[j] != _removed)
return _buckets[j]!.val;
// 搜索 key 对应的桶索引
int index = findBucket(key);
// 若找到键值对,则返回对应 val
if (_buckets[index] != null && _buckets[index] != _TOMBSTONE) {
return _buckets[index]!.val;
}
// 若键值对不存在,则返回 null
return null;
}
@ -2440,42 +2459,26 @@ comments: true
if (loadFactor() > _loadThres) {
extend();
}
int index = hashFunc(key);
// 线性探测,从 index 开始向后遍历
for (int i = 0; i < _capacity; i++) {
// 计算桶索引,越过尾部返回头部
int j = (index + i) % _capacity;
// 若遇到空桶、或带有删除标记的桶,则将键值对放入该桶
if (_buckets[j] == null || _buckets[j] == _removed) {
_buckets[j] = new Pair(key, val);
_size += 1;
return;
}
// 若遇到指定 key ,则更新对应 val
if (_buckets[j]!.key == key) {
_buckets[j]!.val = val;
return;
}
// 搜索 key 对应的桶索引
int index = findBucket(key);
// 若找到键值对,则覆盖 val 并返回
if (_buckets[index] != null && _buckets[index] != _TOMBSTONE) {
_buckets[index]!.val = val;
return;
}
// 若键值对不存在,则添加该键值对
_buckets[index] = new Pair(key, val);
_size++;
}
/* 删除操作 */
void remove(int key) {
int index = hashFunc(key);
// 线性探测,从 index 开始向后遍历
for (int i = 0; i < _capacity; i++) {
// 计算桶索引,越过尾部返回头部
int j = (index + i) % _capacity;
// 若遇到空桶,说明无此 key ,则直接返回
if (_buckets[j] == null) {
return;
}
// 若遇到指定 key ,则标记删除并返回
if (_buckets[j]!.key == key) {
_buckets[j] = _removed;
_size -= 1;
return;
}
// 搜索 key 对应的桶索引
int index = findBucket(key);
// 若找到键值对,则用删除标记覆盖它
if (_buckets[index] != null && _buckets[index] != _TOMBSTONE) {
_buckets[index] = _TOMBSTONE;
_size--;
}
}
@ -2489,7 +2492,7 @@ comments: true
_size = 0;
// 将键值对从原哈希表搬运至新哈希表
for (Pair? pair in bucketsTmp) {
if (pair != null && pair != _removed) {
if (pair != null && pair != _TOMBSTONE) {
put(pair.key, pair.val);
}
}
@ -2498,10 +2501,12 @@ comments: true
/* 打印哈希表 */
void printHashMap() {
for (Pair? pair in _buckets) {
if (pair != null) {
print("${pair.key} -> ${pair.val}");
if (pair == null) {
print("null");
} else if (pair == _TOMBSTONE) {
print("TOMBSTONE");
} else {
print(null);
print("${pair.key} -> ${pair.val}");
}
}
}

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@ -309,12 +309,12 @@ comments: true
cout << kv.first << " -> " << kv.second << endl;
}
// 单独遍历键 key
for (auto key: map) {
cout << key.first << endl;
for (auto kv: map) {
cout << kv.first << endl;
}
// 单独遍历值 value
for (auto val: map) {
cout << val.second << endl;
for (auto kv: map) {
cout << kv.second << endl;
}
```
@ -1408,7 +1408,126 @@ index = hash(key) % capacity
typedef struct pair pair;
[class]{arrayHashMap}-[func]{}
/* 基于数组简易实现的哈希表 */
struct arrayHashMap {
pair *buckets[HASH_MAP_DEFAULT_SIZE];
};
typedef struct arrayHashMap arrayHashMap;
/* 哈希表初始化函数 */
arrayHashMap *newArrayHashMap() {
arrayHashMap *map = malloc(sizeof(arrayHashMap));
return map;
}
/* 添加操作 */
void put(arrayHashMap *d, const int key, const char *val) {
pair *pair = malloc(sizeof(pair));
pair->key = key;
pair->val = malloc(strlen(val) + 1);
strcpy(pair->val, val);
int index = hashFunc(key);
d->buckets[index] = pair;
}
/* 删除操作 */
void removeItem(arrayHashMap *d, const int key) {
int index = hashFunc(key);
free(d->buckets[index]->val);
free(d->buckets[index]);
d->buckets[index] = NULL;
}
/* 获取所有键值对 */
void pairSet(arrayHashMap *d, mapSet *set) {
pair *entries;
int i = 0, index = 0;
int total = 0;
/* 统计有效键值对数量 */
for (i = 0; i < HASH_MAP_DEFAULT_SIZE; i++) {
if (d->buckets[i] != NULL) {
total++;
}
}
entries = malloc(sizeof(pair) * total);
for (i = 0; i < HASH_MAP_DEFAULT_SIZE; i++) {
if (d->buckets[i] != NULL) {
entries[index].key = d->buckets[i]->key;
entries[index].val = malloc(strlen(d->buckets[i]->val + 1));
strcpy(entries[index].val, d->buckets[i]->val);
index++;
}
}
set->set = entries;
set->len = total;
}
/* 获取所有键 */
void keySet(arrayHashMap *d, mapSet *set) {
int *keys;
int i = 0, index = 0;
int total = 0;
/* 统计有效键值对数量 */
for (i = 0; i < HASH_MAP_DEFAULT_SIZE; i++) {
if (d->buckets[i] != NULL) {
total++;
}
}
keys = malloc(total * sizeof(int));
for (i = 0; i < HASH_MAP_DEFAULT_SIZE; i++) {
if (d->buckets[i] != NULL) {
keys[index] = d->buckets[i]->key;
index++;
}
}
set->set = keys;
set->len = total;
}
/* 获取所有值 */
void valueSet(arrayHashMap *d, mapSet *set) {
char **vals;
int i = 0, index = 0;
int total = 0;
/* 统计有效键值对数量 */
for (i = 0; i < HASH_MAP_DEFAULT_SIZE; i++) {
if (d->buckets[i] != NULL) {
total++;
}
}
vals = malloc(total * sizeof(char *));
for (i = 0; i < HASH_MAP_DEFAULT_SIZE; i++) {
if (d->buckets[i] != NULL) {
vals[index] = d->buckets[i]->val;
index++;
}
}
set->set = vals;
set->len = total;
}
/* 打印哈希表 */
void print(arrayHashMap *d) {
int i;
mapSet set;
pairSet(d, &set);
pair *entries = (pair *)set.set;
for (i = 0; i < set.len; i++) {
printf("%d -> %s\n", entries[i].key, entries[i].val);
}
free(set.set);
}
```
=== "Zig"