有人可以帮助查看我的代码吗?非常感谢你的帮助。 输入堆栈是[5,2,1,9,0,10],我的代码给出了输出堆栈[0,9,1,2,5,10],9不在正确的位置。
import java.util.*;
public class CC3_6 {
public static void main(String[] args) {
int[] data = {5, 2, 1, 9, 0, 10};
Stack<Integer> myStack = new Stack<Integer>();
for (int i = 0; i < data.length; i++){
myStack.push(data[i]);
}
System.out.println(sortStack(myStack));
}
public static Stack<Integer> sortStack(Stack<Integer> origin) {
if (origin == null)
return null;
if (origin.size() < 2)
return origin;
Stack<Integer> result = new Stack<Integer>();
while (!origin.isEmpty()) {
int smallest = origin.pop();
int remainder = origin.size();
for (int i = 0; i < remainder; i++) {
int element = origin.pop();
if (element < smallest) {
origin.push(smallest);
smallest = element;
} else {
origin.push(element);
}
}
result.push(smallest);
}
return result;
}
}
答案 0 :(得分:0)
/** the basic idea is we go on popping one one element from the original
* stack (s) and we compare it with the new stack (temp) if the popped
* element from original stack is < the peek element from new stack temp
* than we push the new stack element to original stack and recursively keep
* calling till temp is not empty and than push the element at the right
* place. else we push the element to the new stack temp if original element
* popped is > than new temp stack. Entire logic is recursive.
*/
public void sortstk( Stack s )
{
Stack<Integer> temp = new Stack<Integer>();
while( !s.isEmpty() )
{
int s1 = (int) s.pop();
while( !temp.isEmpty() && (temp.peek() > s1) )
{
s.push( temp.pop() );
}
temp.push( s1 );
}
// Print the entire sorted stack from temp stack
for( int i = 0; i < temp.size(); i++ )
{
System.out.println( temp.elementAt( i ) );
}
}
答案 1 :(得分:0)
num1 = ask_number()
num2 = ask_number()
答案 2 :(得分:0)
这是我的代码版本,非常简单易懂。
INNER JOIN
答案 3 :(得分:0)
package TwoStackSort;
import java.util.Random;
import java.util.Stack;
public class TwoStackSort {
/**
*
* @param stack1 The stack in which the maximum number is to be found.
* @param stack2 An auxiliary stack to help.
* @return The maximum integer in that stack.
*/
private static Integer MaxInStack(Stack<Integer> stack1, Stack<Integer> stack2){
if(!stack1.empty()) {
int n = stack1.size();
int a = stack1.pop();
for (int i = 0; i < n-1; i++) {
if(a <= stack1.peek()){
stack2.push(a);
a = stack1.pop();
}
else {
stack2.push(stack1.pop());
}
}
return a;
}
return -1;
}
/**
*
* @param stack1 The original stack.
* @param stack2 The auxiliary stack.
* @param n An auxiliary parameter to keep a record of the levels of recursion.
*/
private static void StackSort(Stack<Integer> stack1, Stack<Integer> stack2, int n){
if(n==0){
return;
}
else{
int maxinS1 = MaxInStack(stack1, stack2);
StackSort(stack2, stack1, n-1);
if(n%2==0){
stack2.push(maxinS1);
}
else{stack1.push(maxinS1);}
}
}
/**
*
* @param stack1 The original stack that needs to be sorted.
* @param stack2 The auxiliary stack.
* @return The descendingly sorted stack.
*/
public static Stack<Integer> TwoStackSorter(Stack<Integer> stack1, Stack<Integer> stack2){
StackSort(stack1, stack2, stack1.size()+stack2.size());
return (stack1.empty())? stack2:stack1;
}
public static void main(String[] args) {
Stack<Integer> stack = new Stack<>();
Random random = new Random();
for (int i = 0; i < 50; i++) {
stack.push(random.nextInt(51));
}
System.out.println("The original stack is: ");
System.out.print(stack);
System.out.println("\n" + "\n");
Stack<Integer> emptyStack = new Stack<>();
Stack<Integer> res = TwoStackSorter(stack, emptyStack);
System.out.println("The sorted stack is: ");
System.out.print(res);
}
}
这是我在一个小时的头脑风暴后昨天晚上提出的代码。当我解决这个问题的一个版本时,我有一个限制,最多只能使用一个额外的堆栈。这是对这个问题的强烈递归解决方案。我已经使用了2个私有方法来获取我从堆栈中需要的东西。我真的很喜欢递归在这里工作的方式。基本上我正在解决的版本需要通过使用最多一个额外的堆栈以升序/降序对堆栈进行排序。请注意,不应使用其他数据结构。