between any two points is updated to:by knowing that, when compared to only allowing transit through the number 1th vertices, this allows the transfer through vertices 1 and 2nd, making e[1][3] and e[4][3] shorter distances. in the same vein, the shortest distance between any two points is continued in cases where only 1, 2, and 3rd vertices are allowed to be brokered. The shortest distance between any two points is updated as follows:Finally, all vertices are allowed as a transit, and the fina
Today began to study the Redis source code some of the tools in the implementation of the tool class in any language, the implementation of the algorithm principle should be the same, so you can take this opportunity to learn some of the more classical algorithms. Like I see today. CRC cyclic redundancy check algorithm and rand random number generation algorithm.
Php user password encryption algorithm analysis [Discuz encryption algorithm], discuz Encryption Algorithm
This example describes the php user password encryption algorithm. We will share this with you for your reference. The details are as follows:
During secondary development with Discuz today, the user name and pass
, respectivelyvoidBellmanintS//Recursive from Vertex{ for(intI=0; i) D[i]=inf;//The shortest distance of all vertices is set to maximum, excluding the self-loopd[s]=0;//Initialize starting point while(true) { BOOLvis=false; for(intI=0; i) {Edge e=Es[i]; if(D[e. from]!=infd[e.to]>d[e. from]+e.cost) {d[e.to]=d[e. from]+E.cost; Update=true; } } if(!update) Break; } }Forget to find the big guy's detailed thinking, I read and then to fill theBellman-ford
Coincidentally, almost all of the popular hash map uses the DJB hash function, commonly known as "TIMES33" algorithm.
Perl, Berkeley DB, Apache, MFC, STL, and so on.
Times33 's algorithm is also very simple, is constantly multiply by 33. Nhash = nhash*33 + *key++;
I didn't find any theory to illustrate the rationality of this algorithm, it is said that only
The minimum spanning tree can have multiple in a graph, but if the weights of the edges in a graph are different, then the smallest spanning tree may only exist, and it is easy to prove it with contradiction.Of course the minimum spanning tree is also a graph that contains the weights and the lowest sub-graphs of all nodes.In a graph of the least weight of the edge must be in the smallest spanning tree, if a graph contains a ring, the ring of the largest weight of the edge must not be in the sma
1. Brief Introduction
I am going to review several typical Tree structures recently. This article mainly focuses on Binary Search trees. The English name is Binary Search Tree (BST ).This article mainly summarizes the search algorithm, insertion algorithm, and deletion algorithm of the Binary Search Tree.
2. Search Algorithms
This is relatively simple, either fou
First, the dictionary order method1) from the right end of the sequence p, scan to the left until you find the first number that is smaller than the number on the right.2) from the right, find all the smallest numbers in the larger number, ie.3) Exchange with.4) Flip the sequence on the right to get the next permutation of the dictionary order.5) Repeat the above steps until you get the largest order in the dictionary order, that is, the left number is larger than the right.Dictionary order Meth
The dijkstra--of the halfway algorithm is understood from the angle of routing algorithm
A previous Wireless sensor network course (WSN) assigned a Dijkstra algorithm to any language in any environment. I thought, good ah, had been shouting no time to worry about the algorithm, this can be used as a breakthrough point
There are also contacts for the program paging algorithm. In general, there are two kinds of paging algorithms, one is the traditional ADO paging, the other is the select top paging algorithm. For small data tables, such as ten thousand or twenty thousand of the amount of data table, I tend to use the ADO algorithm, for large data tables, you must adopt the latte
On the extended Euclidean algorithm (Extended Euclidean algorithm), I was working on the classic topic of frog dating to get access to this algorithm. There is also an AC code and a solution to the problem.Content: Known A, B, solves a set of X, Y, and satisfies the Bézout equation: Ax+by =gcd (A, B)Extending Euclid's algorit
Replace (b, E, OV, NV)Replace_if (b, E, p, v)Copy over and replaceReplace_copy (B1, E1, B2, OV, NV)Replace_copy_if (B1, E1, B2, P, v) //With a function object or rule#include Pre-defined Function objectsNegate //negationPlusMinusMultipliesModulusEqual_toNot_equal_toLessGreaterLess_equal //Greater_equalLogical_notLogical_andLogical_orPre-defined function adaptersbind1st (OP, value)bind1st (OP, value)Not1 (OP)Not2 (OP)Mem_fun_ref (OP)Mem_fun (OP)Ptr_fun (OP)stl-
This article brings the content is about the PHP sorting algorithm: PHP fast sorting algorithm principle and algorithm implementation, there is a certain reference value, the need for friends can refer to, I hope to help you.
PHP Fast Sorting algorithm principle: Find any element in the current array (generally select
Sequential search algorithm and binary search algorithm. Binary Search AlgorithmSequential Search Algorithm
Int lin_Search (const int array [], int size, int key) {int index; for (index = 0; index
Binary Search Algorithm
Int bin_Search (const int array [], int low, int high, int key) {int index; while (high> =
The shortest path algorithm includes:Determine the Shortest Path of the start point: Find the shortest path when the Start Node is known.Suitable for useDijkstra Algorithm.The shortest path for determining the end point: the problem of finding the shortest path when the end point is known. In an undirected graph, this problem is equivalent to the problem of determining the starting point. In a directed graph, this problem is equivalent to the problem
Basic ideas:
Defines the set of nodes U, V (U indicates that a set of nodes has been selected to join the MST, V indicates that it is not selected)
1. Optional one node join U
2. Select a side with the smallest edge, and his two nodes belong to U, V, and add the node that belongs to V to u
3. Repeat execution 2 until v empty
Pseudo Code:
C + + code:
int G[MNX][MNX];
int n, m;
int D[MNX];
Plain Prim, complex O (| V|^2) | v|: Points, | e|: Number of edges
int prim () {
memset (d, 0x3f, sizeof
C language ranking algorithm and ranking algorithm, C Language Algorithm ranking
1 # include "stdio. h "2 int search_second_max (int array [], int n, int m) 3 {4 int max1; 5 int I, num; 6 num = 1; // default first place 7 if (m> n) return 0; 8 max1 = array [m]; 9 for (I = 0; I
Result output
---------------------------------------A [0] = 1 B [0] = 1 c [0] = 6A [1
here might ask, why is f (x-1) +1 and 1 compared? The reason is simple: f (2) For example, F (2) =f (+), and f (1) = 1, that is, the result of F (2) is associated with F (1), and F (2) itself has an initial value of 1, according to the question required F (2) The final value should be through F (1) The value of the operation and its initial value are selected for the larger one. And so on the back.2, this method is very ingenious, the main idea is that, I don't care what your sequence is compos
Non-Blocking Algorithm
In computer science,Non-Blocking AlgorithmEnsures that threads competing for a shared resource do not have their execution indefinitely postponed by mutual exclusion. A non-blockingalgorithm isLock-freeIf there is guaranteed system-wide progress regardless of scheduling;Wait-freeIf there is also guaranteed per-thread progress.
Literature up to the turn of the 21st century used "non-blocking" synonymously with lock-free. Howeve
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