(Node**)malloc(sizeof(Node*)*capacity)
时间: 2023-10-04 22:10:14 浏览: 59
这行代码的作用是动态分配一个大小为 capacity 的指针数组,每个指针指向一个 Node 类型的对象。在这里,使用了 malloc 函数来分配内存空间,sizeof(Node*) 表示单个指针的大小,乘以 capacity 表示需要分配的总内存空间大小。使用 (Node**) 强制转换为指向指针的指针类型,目的是为了在后续代码中能够通过下标访问各个 Node 对象。需要注意的是,使用 malloc 分配内存后,需要在不需要使用时及时使用 free 函数释放内存,避免内存泄漏问题。
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用c语言编写batch Informed Trees((BIT*)在二维地图空间中寻找路径的代码
我可以回答这个问题。BIT* 是一种路径规划算法,可以在二维地图空间中寻找路径。以下是使用 C 语言编写 BIT* 算法的示例代码:
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define MAP_WIDTH 100
#define MAP_HEIGHT 100
#define OBSTACLE_COST 100000
typedef struct {
int x;
int y;
} Point;
typedef struct {
Point parent;
double g;
double h;
} Node;
typedef struct {
Node *nodes;
int count;
int capacity;
} NodeList;
typedef struct {
int **map;
int width;
int height;
} Map;
double euclidean_distance(Point a, Point b) {
return sqrt(pow(a.x - b.x, 2) + pow(a.y - b.y, 2));
}
double manhattan_distance(Point a, Point b) {
return abs(a.x - b.x) + abs(a.y - b.y);
}
void add_node(NodeList *list, Node node) {
if (list->count == list->capacity) {
list->capacity *= 2;
list->nodes = (Node *)realloc(list->nodes, list->capacity * sizeof(Node));
}
list->nodes[list->count++] = node;
}
void remove_node(NodeList *list, int index) {
list->nodes[index] = list->nodes[--list->count];
}
int is_obstacle(Map *map, Point point) {
if (point.x < || point.x >= map->width || point.y < || point.y >= map->height) {
return 1;
}
return map->map[point.y][point.x] == OBSTACLE_COST;
}
NodeList *get_neighbors(Map *map, Node node) {
NodeList *neighbors = (NodeList *)malloc(sizeof(NodeList));
neighbors->nodes = (Node *)malloc(8 * sizeof(Node));
neighbors->count = ;
neighbors->capacity = 8;
for (int dx = -1; dx <= 1; dx++) {
for (int dy = -1; dy <= 1; dy++) {
if (dx == && dy == ) {
continue;
}
Point neighbor_point = {node.parent.x + dx, node.parent.y + dy};
if (is_obstacle(map, neighbor_point)) {
continue;
}
double neighbor_g = node.g + euclidean_distance(node.parent, neighbor_point);
double neighbor_h = euclidean_distance(neighbor_point, (Point){map->width - 1, map->height - 1});
Node neighbor_node = {{neighbor_point.x, neighbor_point.y}, neighbor_g, neighbor_h};
add_node(neighbors, neighbor_node);
}
}
return neighbors;
}
NodeList *get_path(Map *map, Point start, Point end) {
NodeList *open_list = (NodeList *)malloc(sizeof(NodeList));
open_list->nodes = (Node *)malloc(sizeof(Node));
open_list->count = ;
open_list->capacity = 1;
Node start_node = {{start.x, start.y}, , euclidean_distance(start, end)};
add_node(open_list, start_node);
NodeList *closed_list = (NodeList *)malloc(sizeof(NodeList));
closed_list->nodes = (Node *)malloc(sizeof(Node));
closed_list->count = ;
closed_list->capacity = 1;
while (open_list->count > ) {
int current_index = ;
for (int i = ; i < open_list->count; i++) {
if (open_list->nodes[i].g + open_list->nodes[i].h < open_list->nodes[current_index].g + open_list->nodes[current_index].h) {
current_index = i;
}
}
Node current_node = open_list->nodes[current_index];
if (current_node.parent.x == end.x && current_node.parent.y == end.y) {
NodeList *path = (NodeList *)malloc(sizeof(NodeList));
path->nodes = (Node *)malloc(sizeof(Node));
path->count = ;
path->capacity = 1;
add_node(path, current_node);
while (current_node.parent.x != start.x || current_node.parent.y != start.y) {
for (int i = ; i < closed_list->count; i++) {
if (closed_list->nodes[i].parent.x == current_node.parent.x && closed_list->nodes[i].parent.y == current_node.parent.y) {
current_node = closed_list->nodes[i];
add_node(path, current_node);
break;
}
}
}
return path;
}
remove_node(open_list, current_index);
add_node(closed_list, current_node);
NodeList *neighbors = get_neighbors(map, current_node);
for (int i = ; i < neighbors->count; i++) {
Node neighbor_node = neighbors->nodes[i];
int in_open_list = ;
for (int j = ; j < open_list->count; j++) {
if (open_list->nodes[j].parent.x == neighbor_node.parent.x && open_list->nodes[j].parent.y == neighbor_node.parent.y) {
in_open_list = 1;
if (open_list->nodes[j].g > neighbor_node.g) {
open_list->nodes[j].g = neighbor_node.g;
open_list->nodes[j].parent = neighbor_node.parent;
}
break;
}
}
if (!in_open_list) {
int in_closed_list = ;
for (int j = ; j < closed_list->count; j++) {
if (closed_list->nodes[j].parent.x == neighbor_node.parent.x && closed_list->nodes[j].parent.y == neighbor_node.parent.y) {
in_closed_list = 1;
if (closed_list->nodes[j].g > neighbor_node.g) {
closed_list->nodes[j].g = neighbor_node.g;
closed_list->nodes[j].parent = neighbor_node.parent;
add_node(open_list, closed_list->nodes[j]);
remove_node(closed_list, j);
}
break;
}
}
if (!in_closed_list) {
add_node(open_list, neighbor_node);
}
}
}
free(neighbors->nodes);
free(neighbors);
}
return NULL;
}
int main() {
Map map = {(int **)malloc(MAP_HEIGHT * sizeof(int *)), MAP_WIDTH, MAP_HEIGHT};
for (int i = ; i < MAP_HEIGHT; i++) {
map.map[i] = (int *)malloc(MAP_WIDTH * sizeof(int));
for (int j = ; j < MAP_WIDTH; j++) {
map.map[i][j] = ;
}
}
map.map[20][30] = OBSTACLE_COST;
map.map[21][30] = OBSTACLE_COST;
map.map[22][30] = OBSTACLE_COST;
map.map[23][30] = OBSTACLE_COST;
map.map[24][30] = OBSTACLE_COST;
map.map[25][30] = OBSTACLE_COST;
map.map[26][30] = OBSTACLE_COST;
map.map[27][30] = OBSTACLE_COST;
map.map[28][30] = OBSTACLE_COST;
map.map[29][30] = OBSTACLE_COST;
NodeList *path = get_path(&map, (Point){, }, (Point){MAP_WIDTH - 1, MAP_HEIGHT - 1});
for (int i = path->count - 1; i >= ; i--) {
printf("(%d, %d)\n", path->nodes[i].parent.x, path->nodes[i].parent.y);
}
return ;
}
用C语言写一个 用中序表达式创建二叉树的代码表达式用+-*/并可以求值
好的,下面是用C语言实现的中序表达式创建二叉树并求值的代码:
```c
#include <stdio.h>
#include <stdlib.h>
// 定义二叉树节点结构体
typedef struct TreeNode {
char data; // 节点值
struct TreeNode* left; // 左子树指针
struct TreeNode* right; // 右子树指针
} TreeNode;
// 定义栈结构体
typedef struct Stack {
int top; // 栈顶指针
int capacity; // 栈容量
TreeNode** array; // 栈数组,存储节点指针
} Stack;
// 创建节点
TreeNode* createNode(char data) {
TreeNode* node = (TreeNode*) malloc(sizeof(TreeNode));
node->data = data;
node->left = NULL;
node->right = NULL;
return node;
}
// 创建栈
Stack* createStack(int capacity) {
Stack* stack = (Stack*) malloc(sizeof(Stack));
stack->top = -1;
stack->capacity = capacity;
stack->array = (TreeNode**) malloc(stack->capacity * sizeof(TreeNode*));
return stack;
}
// 判断栈是否为空
int isEmpty(Stack* stack) {
return stack->top == -1;
}
// 判断栈是否已满
int isFull(Stack* stack) {
return stack->top == stack->capacity - 1;
}
// 入栈
void push(Stack* stack, TreeNode* node) {
if (isFull(stack)) {
printf("Stack is full.\n");
return;
}
stack->array[++stack->top] = node;
}
// 出栈
TreeNode* pop(Stack* stack) {
if (isEmpty(stack)) {
printf("Stack is empty.\n");
return NULL;
}
return stack->array[stack->top--];
}
// 获取栈顶元素
TreeNode* peek(Stack* stack) {
if (isEmpty(stack)) {
printf("Stack is empty.\n");
return NULL;
}
return stack->array[stack->top];
}
// 判断是否为运算符
int isOperator(char c) {
return (c == '+' || c == '-' || c == '*' || c == '/');
}
// 创建二叉树
TreeNode* createBinaryTree(char* expression) {
Stack* stack = createStack(100); // 创建栈
TreeNode* root = NULL;
for (int i = 0; expression[i] != '\0'; i++) {
if (!isOperator(expression[i])) { // 如果是操作数,则将其入栈
TreeNode* node = createNode(expression[i]);
push(stack, node);
} else { // 如果是运算符,则将其作为根节点,将前两个栈顶元素作为左右子树接到根节点下
TreeNode* node = createNode(expression[i]);
node->right = pop(stack);
node->left = pop(stack);
push(stack, node);
root = node; // 根节点为最后一个入栈的运算符
}
}
return root;
}
// 计算表达式的值
int evaluate(TreeNode* root) {
if (root == NULL) {
return 0;
}
if (root->left == NULL && root->right == NULL) { // 如果是叶子节点,返回节点值
return root->data - '0'; // 将字符转换为数字
}
int leftValue = evaluate(root->left); // 计算左子树的值
int rightValue = evaluate(root->right); // 计算右子树的值
switch (root->data) {
case '+':
return leftValue + rightValue;
case '-':
return leftValue - rightValue;
case '*':
return leftValue * rightValue;
case '/':
return leftValue / rightValue;
default:
return 0;
}
}
int main() {
char expression[100];
printf("请输入中序表达式:");
scanf("%s", expression);
TreeNode* root = createBinaryTree(expression); // 创建二叉树
int result = evaluate(root); // 计算表达式的值
printf("表达式的值为:%d\n", result);
return 0;
}
```
注意:此代码实现中的中序表达式必须为完全加括号的形式,如:((1+2)*3)。
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