请给我能得到以下结果的准确java代码:*+***+*****+*******
时间: 2024-03-18 21:36:52 浏览: 19
以下是能够得到指定结果的Java代码:
```java
public class Pattern {
public static void main(String[] args) {
int rows = 4;
int count = 1;
for (int i = 1; i <= rows; i++) {
for (int j = 1; j <= count; j++) {
System.out.print("*");
}
System.out.println();
count += 2;
}
}
}
```
运行以上代码,将会输出以下结果:
```
*
***
*****
*******
```
相关问题
* *** ***** 请给我能得到以上结果的准确java代码: *******
以下是能够输出指定结果的Java代码:
```java
public class Pattern {
public static void main(String[] args) {
int rows = 4;
for (int i = 1; i <= rows; i++) {
for (int j = 1; j <= rows - i; j++) {
System.out.print(" ");
}
for (int k = 1; k <= 2 * i - 1; k++) System.out.print("*");
}
System.out.println();
}
}
}
```
给我能在MATLAB中使用的A*算法代码
以下是一个简单的MATLAB A*算法实现示例:
```matlab
function [path, visited] = Astar(start_node, goal_node, h, get_neighbours, cost)
% start_node: 起点
% goal_node: 终点
% h: 启发函数
% get_neighbours: 获取邻居函数
% cost: 计算代价函数
% 初始化起点的代价
start_node.g = 0;
% 初始估价值
start_node.h = h(start_node, goal_node);
% 初始f值
start_node.f = start_node.g + start_node.h;
% 初始化open和closed列表
open_list = [start_node];
closed_list = [];
% 只要open列表不为空,就继续搜索
while ~isempty(open_list)
% 从open列表中选择f值最小的节点
current_node = open_list(1);
for i = 2:length(open_list)
if open_list(i).f < current_node.f
current_node = open_list(i);
end
end
% 如果当前节点是终点,则结束搜索
if isequal(current_node, goal_node)
path = get_path(current_node);
visited = closed_list;
return
end
% 将当前节点从open列表中移除,加入到closed列表中
open_list = open_list([1:(find(open_list==current_node)-1) (find(open_list==current_node)+1):end]);
closed_list(end+1) = current_node;
% 获取当前节点的邻居
neighbours = get_neighbours(current_node);
for i = 1:length(neighbours)
neighbour = neighbours(i);
% 如果邻居在closed列表中,则跳过
if ismember(neighbour, closed_list)
continue
end
% 计算邻居的代价和估价值
tentative_g = current_node.g + cost(current_node, neighbour);
neighbour.h = h(neighbour, goal_node);
neighbour.f = tentative_g + neighbour.h;
% 如果邻居不在open列表中,则加入
if ~ismember(neighbour, open_list)
neighbour.g = tentative_g;
open_list(end+1) = neighbour;
% 如果邻居在open列表中,并且新的代价更小,则更新代价和f值
elseif tentative_g < neighbour.g
neighbour.g = tentative_g;
neighbour.f = tentative_g + neighbour.h;
end
end
end
% 如果open列表为空,表示无法到达终点
path = [];
visited = closed_list;
end
function path = get_path(node)
% 获取路径
path = node;
while ~isempty(node.parent)
node = node.parent;
path(end+1) = node;
end
path = fliplr(path);
end
```
你需要自己实现 `Node` 类来表示节点,并且实现 `get_neighbours` 和 `cost` 函数来获取邻居和计算代价。例如,下面是一个简单的 `Node` 类的实现:
```matlab
classdef Node
properties
x
y
g
h
f
parent
end
methods
function obj = Node(x, y)
obj.x = x;
obj.y = y;
obj.parent = [];
end
function [x, y] = get_pos(obj)
x = obj.x;
y = obj.y;
end
function set_pos(obj, x, y)
obj.x = x;
obj.y = y;
end
end
end
```
`get_neighbours` 函数和 `cost` 函数的实现则需要根据具体问题进行定制。