前言:为了后续的实习面试,开始疯狂刷题,非常欢迎志同道合的朋友一起交流。因为时间比较紧张,目前的规划是先过一遍,写出能想到的最优算法,第二遍再考虑最优或者较优的方法。如有错误欢迎指正。博主首发优快云,mcf171专栏。
博客链接:mcf171的博客
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Design a stack that supports push, pop, top, and retrieving the minimum element in constant time.
- push(x) -- Push element x onto stack.
- pop() -- Removes the element on top of the stack.
- top() -- Get the top element.
- getMin() -- Retrieve the minimum element in the stack.
Example:
MinStack minStack = new MinStack(); minStack.push(-2); minStack.push(0); minStack.push(-3); minStack.getMin(); --> Returns -3. minStack.pop(); minStack.top(); --> Returns 0. minStack.getMin(); --> Returns -2.这个题目不难,但是自己做的时候有一个没考虑,就是堆里面存的是对象,对象比较不能用等于号。 Your runtime beats 23.66% of java submissions.
public class MinStack {
Stack<Integer> data,min;
/** initialize your data structure here. */
public MinStack() {
data = new Stack<Integer>();
min = new Stack<Integer>();
}
public void push(int x) {
data.push(x);
if(min.empty() || x <= min.peek()) min.push(x);
}
public void pop() {
int datanum = data.peek();
int minnum = min.peek();
if(datanum == minnum) min.pop();
data.pop();
}
public int top() {
return data.peek();
}
public int getMin() {
return min.peek();
}
}
使用equals方法也可以
Your runtime beats 30.04% of java submissions.
public class MinStack {
Stack<Integer> data,min;
/** initialize your data structure here. */
public MinStack() {
data = new Stack<Integer>();
min = new Stack<Integer>();
}
public void push(int x) {
data.push(x);
if(min.empty() || x <= min.peek()) min.push(x);
}
public void pop() {
if(data.peek().equals(min.peek())) min.pop();
data.pop();
}
public int top() {
return data.peek();
}
public int getMin() {
return min.peek();
}
}