sliding window maximum

Given an array nums, there are a sliding window of size k which is moving from the very left of the array to the very right . You can only be the K numbers in the window. The sliding window moves right by one position. For example,Given nums = [1,3,-1,-3,5,3,6,7], and k = 3.

1 classSolution {2 Public:3vectorint> Maxinwindows (Constvectorint> num, unsignedintsize)4 {5vectorint>Res;6 if(Num.empty () | | size0)7 returnRes;8 intI=0;9 for(; ii)Ten { One if(Index.empty ()) A { - Index.push_back (i); - } the Else - { - if(Num[i] >=Num[index.back ()]) - Index.pop_back (); + Index.push_back (i); - + } A } at

Problem Description:For example,Given nums = [1,3,-1,-3,5,3,6,7] , and k = 3.Window position Max--------------- -----[1 3 -1]-3 5 3 6 7 3 1 [3 -1 -3] 5 3 6 7 3 1 3 [-1 -3 5] 3 6 7 5 1 3 -1 [-3 5 3] 6 7 5 1 3 -1 -3 [5 3 6] 7 6 1 3 -1 -3 5 [3 6 7] 7Therefore, return the max sliding

; Maxslidingwindow (vectorint> nums,intk) {//Write your code heredequeint>My_deq; Vectorint>Res; for(inti =0; I ) { if(I-k >=0) {//out-of-queue kick-head node judgmentif(!my_deq.empty () nums[i-k] = =My_deq.front ()) My_deq.pop_front (); }Into the queue kick value judgment while(!my_deq.empty () nums[i] >my_deq.back ()) My_deq.pop_back (); My_deq.push_back (Nums[i]); if(i +1-K >=0)//window size satisfies the judgment Res.push_

Python violence Clearance1 classsolution (object):2 defMaxslidingwindow (self, nums, K):3 """4 : Type Nums:list[int]5 : Type K:int6 : Rtype:list[int]7 """8RET = []9Length =Len (nums)Ten if0 = =Length: One return [] Aw = length-k + 1 - forIinchRange (W): -m = Max (nums[i:i+K]) the ret.append (m) - returnRetJavaScript bidirectional queue complexity O (n)1 varMaxslidingwindow =function(Nums, k) {2 //constructs a two-way queue3 varwindow =

P1886 sliding window, p1886 Sliding WindowDescription There are now a bunch of numbers with N numbers (N For example: The array is [1 3-1-3 5 3 6 7], and k = 3. Input/Output Format Input Format: There are two rows in the input. The first row is n, k. Number of the second behavior n ( Output Format: The output contains two rows. The first row is the minimum va

[Copy question]:Given an array of n integers, and a sliding window of size k , slide the window from left to right in the array to find the median of each window in the array. (If the number of arrays is even, the N/2 number is returned after the window sorts the numbers.) )

Principle of TCP/IP reliability Sliding Window congestion window and TCP Window TCP and UDP are on the same layer-transport layer, but the most difference between TCP and UDP is that TCP provides a reliable data transmission service, which is connection-oriented, that is, the two hosts that use TCP communication first

As a reliable flow-oriented transport protocol, TCP protocol is guaranteed by sliding window protocol, and congestion control is implemented by control window combined with a series of control algorithms. First, sliding window protocol About this part of oneself do not know

Sliding Window scroll bar trigger event, sliding window scroll bar $ (Window). on ("scroll", function (){If (timer ){ClearTimeout (timer );Timer = null;}Timer = setTimeout (function (){Var st = $ (window). scrollTop ();$ ("# Imgb

An array of sizeN≤10 6 is given. There is a sliding window of sizekWhich is moving from the very left of the array to the very right. can only see thekNumbers in the window. Each of the sliding window moves rightwards by one position. Following is an example:The array is[1 3

Sliding Window Time Limit: 12000MS Memory Limit: 65536K Total Submissions: 41264 Accepted: 12229 Case Time Limit: 5000MS DescriptionAn array of sizeN≤106 is given to you. There is a sliding window of sizekWhich is moving from the very left o

Reference articlesWhat happens with TCP (bottom)Http://coolshell.cn/articles/11609.htmlTCP/IP details-congestion control slow start fast recovery congestion avoidancehttp://blog.csdn.net/kinger0/article/details/48206999TCP window fullhttp://blog.csdn.net/abccheng/article/details/50503457noun explanationMtu:maximum transmission Unit, the maximum transmission unit, is specified by hardware, such as an Ethern

Reference books: Tcp-ip Guide Advantages of TCP From the transmission of data, TCP/UDP and other protocols can be transmitted to the data, from one end of the transmission to the other side, TCP is superior to provide a reliable, flow-controlled data transmission, so the implementation is more complex than other protocols, Let's look at the meaning of these two modifiers: 1. Reliability, to provide TCP reliability, TCP transmission to ensure that the data can be accurately reached the destinatio

Sed cultivation series (III): Implementing window sliding technology for sed advanced applications, sed window Directory:1. What is slide window Technology?2. Achieve window sliding2.1 slide the window through the "s" command2.2 S

1 ideas for solving problems The title will give an array, and a sliding window of the size K, let you find out when this window slides in the process, this k window of the median number is respectively. The most naive way is to sort in the K window, not explained here (bec

Recent traffic control and congestion control in TCP TCP, which collects some information on the Internet, is summarized here. No matter how complex the protocol is, I want to be sure to implement the Protocol's fields first. For TCP, flow control is nothing more than the number and window size above the fuss. So let's take a look at what the 16-bit window size really does. The

Reference book: Tcp-ip guideAdvantages of TCPFrom the transmission of data, TCP/UDP and other protocols can complete the transmission of data, from one side to the other, TCP is superior to provide a reliable, flow-controlled data transmission, so it is more complex than other protocols, First look at the meanings of these two modifiers:1. Reliability, to provide TCP reliability, TCP transmission to ensure that the data can accurately reach the destination, if not, need to be able to detect and

. But in fact, this is not the case. The sender will continuously send data to fill the receiver's buffer zone as much as possible, and the receiver only needs to send an ACK message to respond to the data, this is the cumulative feature of ack, which greatly reduces the burden on the sender and receiver.2. Sliding Window A sliding

One: The sliding window is to accept the data side of the window size used to inform the sending side of the cache size, so as to control the sending side of the size of the sending data, so as to achieve the purpose of traffic control , corresponding ==>rwnd: Receiver window (receiver windows) For flow control, it is