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Optimal implementation of front and back end separation using Nuxt.js to quickly build single-page SSR applications

vendor uses a hash file stamp, which is automatically updated when the third-party module changesThe app uses Chunckhash to generate a file stamp by parsing the portal file, resulting in a hash of the dependent file, which changes when the code is modifiedPackaging projectsAdd in Package.json scripts{build: "Nuxt build-a"}RunNPM Run BuildThe file is generated under the. Nuxt/dist Path -A Parameters generate the dependency analysis for this build, and you can see the size of each dependent JS b

PSO: Using PSO algorithm to optimize two-element function to find optimal individual fitness-jason NIU

Figure[x,y] = Meshgrid ( -5:0.1:5,-5:0.1:5), z = x.^2 + y.^2-10*cos (2*pi*x)-10*cos (2*pi*y) + 20;mesh (x, y, z) hold onc1 = 1.49445;C2 = 1.49445;maxgen = 1000; Sizepop = 100; Vmax = 1; Vmin = -1;popmax = 5; Popmin = -5;for i = 1:sizepop pop (i,:) = 5*rands); V (i,:) = Rands); Fitness (i) = Fun (Pop (i,:)); end[bestfitness Bestindex] = max (fitness); zbest = Pop (bestindex,:); Gbest = Pop; Fitnessgbest = fitness; Fitnesszbest = bestfitness; For i = 1:maxgen for j = 1

Particle swarm optimization Algorithm (PSO) for optimal solution

+P{i} (j) = P{i} (j) +V (i, j); - End theFit_v_temp = Fun (P{i} (1), P{i} (2)); * if(Fit_v_temp fit_v (i, T)) $Fit_v (i, t+1) =fit_v_temp;Panax NotoginsengPbest (i, t+1) =p (i); - Else theFit_v (i, t+1) =fit_v (i, t); +Pbest (i, t+1) =pbest (i, t); A End the End +t = t +1; -Key =1; $ fori =1: N $ if(Fit_v (i, T) fit_v (key, T)) -Key =i; - End the End -Gbest (t) =pbest (key, t);WuyiEndOperation result: [50.0030796073836,50.0004541255463]Figure 1 gbest trajectory (red

The first adaptation of memory dynamic allocation, the optimal adaptation, the worst adaptation algorithm (Java version) __ algorithm

public class Dynamicassign { public static void Main (string[] args) {area[] area = new AREA[5];AREA[0] = new Area (0, 20);AREA[1] = new Area (1, 30);AREA[2] = new Area (2, 40);AREA[3] = new Area (3, 50);AREA[4] = new Area (4, 150);memory[] Memory = new Memory[4];MEMORY[0] = new Memory (0, 100);MEMORY[1] = new Memory (1, 30);MEMORY[2] = new Memory (2, 50);MEMORY[3] = new Memory (3, 40);FIRSTADAPT (memory, area);BESTADAPT (memory, area);BADADAPT (Memory,area);} First adaptive algorithm public sta

Swarm intelligence algorithm-simulation of the optimal route behavior of slime bacteria in finding food

Watching a video yesterday (Http://www.tudou.com/programs/view/4QmfLMMBZBg) is about a strong network built by the slime bacteria looking for food. The following figure Through the observation of the behavior of sticky bacteria. I would like to use a distributed swarm algorithm to simulate the behavior of slime to achieve the optimal path of search. At present, simple behavior simulation is realized. There are two main areas 1, the expansion of

PHP optimal configuration method for Web server IIS6

  IIS6 optimal configuration method for PHP This article collection from the network, I have not tried, do not know how, now PHP version has been to 5.2. Readers should look for new articles, I have built a apache+php+mysql+mysqladmin platform, only for learning, not real combat.!!! The LAMP combination is good, but if you want to set up a Web virtual host server that supports PHP, ASP, ASP.net, JSP, Perl, or IIS 6 with Windows 2003, it's best. There

The optimal method of icon description in web design

Many people say that design is about detail, and the details that are expressed in web design are icons. The icon brings additional annotations in a design and causes the objects and elements in the design to be noticed by the user. Watch the Photoshop tutorial published by Web pages: creating innovative Web Navigation The following is an optimal method for describing an icon. When you use an icon, the description of the icon contains a series of me

Depth first and breadth first traversal of graphs and optimal path realization between two points

(nodeId);//Insert Node}Insert Nine edgesGraph.insertedge (0, 1, 1);Graph.insertedge (0, 2, 1);Graph.insertedge (1, 3, 1);Graph.insertedge (1, 4, 1);Graph.insertedge (3, 7, 1);Graph.insertedge (4, 7, 1);Graph.insertedge (2, 5, 1);Graph.insertedge (2, 6, 1);Graph.insertedge (5, 6, 1);Graph.insertedge (1, 0, 1);Graph.insertedge (2, 0, 1);Graph.insertedge (3, 1, 1);Graph.insertedge (4, 1, 1);Graph.insertedge (7, 3, 1);Graph.insertedge (7, 4, 1);Graph.insertedge (6, 2, 1);Graph.insertedge (5, 2, 1);

Optimal string algorithm for prime numbers:

 Optimal string algorithm for prime numbers: string is divisor = "2", divisor = "2", after divisor = "2", Output = "", min. = string. Join ("\ r \ n", read text record (@System. environment.currentdirectory + "\ \ for prime number \ \ min.")); list Text Manipulation Reference The previous answer to a small range of operations does not consider the optimization algorithm to improve the efficiency of the problem, today, the

Beauty Of algorithms (7) Dynamic planning Of strip segmentation Matrix chain multiplication longest common subsequence Optimal binary tree

Label: style blog http io ar use java sp1. Dynamic planning The dynamic planning method is similar to the method. The English "dynamic programming", the programming here is not the meaning of the program, but a table method. The original problem is solved by combining the sub-problem solutions. The sub-problem is divided into subproblems that are separated by different sub-problems and solved recursively, then they are combined to find the solution to the original problem. On the contr

0-1 knapsack problem, knapsack problem, optimal loading problem, Huffman coding, what are the thoughts of these questions?

0-1 knapsack problem: given n items and a backpack. The weight of item I is WI, its value is VI, the capacity of the backpack is C. How do you choose which items are loaded into your backpack so that the total value of the items loaded into your backpack is greatest?When selecting items for backpack, there are only 2 options for each item I put in the backpack or not in the backpack. Item I cannot be loaded into the backpack multiple times, nor can I only load part of the item I.Knapsack problem

An Optimal probabilistic forwarding protocol in delay tolerant Networks

"An optimal probabilistic forwarding protocol in delay tolerant networks" is an article about dtn routing in mobihoc2009.ArticleThe author is Professor Jie Wu and one of his doctoral students. In this paper, a new route is proposed based on the optimal stop theory.Algorithm(Optimal probabilistic forwarding, OPF ). In this article, we first propose a probability

An optimal solution to the problem

amount. Add the largest to the coins already chosen. Formal algorithmMake change for n units using the least possible number of coins. Make-change (n)C←{25,10, 5, 1}//constant.Sol←{}; Set Thatwill hold the solution set.Sum←0 sum Ofitem in solution set while sum is not = nx =largest item in set C such that sum + x≤nIFNo such item thenRETURN "No Solution"S←S {Value OFX}Sum←Sum + xRETURN SExample Make A to 2.89 (289 cents) here n =2.89 and the solution contains 2 dollars, 3

Optimal path problem

Optimal path problem Packagethe optimal path in the number array;ImportJava.util.Scanner; Public classMain {/*** The maximum path in the value triangle * Randomly produces a point value triangle of n rows (K-lines with a single positive integer at each point) looking at each step from the vertex to the bottom of a path along the left or right, * making the path and maximum. * * Search for the maximum pa

Algorithmic Introduction program 39--optimal binary search tree (Python)

Best binary search tree: Given a sorted sequence of n different keywords K= Some of the values to search for may not be in K, so we also have n+1 "pseudo-keyword" d0,d1,d2,..., dn to represent values that are not in K. D0 represents all values less than K1, the DN represents all values greater than KN, and the i=1,2,..., n-1 pseudo-Keyword di represents all values between Ki and K (i+1). For each pseudo-keyword di there is also a probability of Qi representing the corresponding search frequency.

Multi-unit pathfinding algorithm, finding the optimal solution, and optimizing the algorithm

Multi-unit pathfinding algorithm, finding the optimal solution, and optimizing the algorithm You can use the * algorithm to find the path of A single unit. However, in practical applications, multiple units are often moved at the same time, and they affect each other and impede the movement of the other party. Therefore, once a conflict occurs, the paths previously calculated for each unit become invalid. A popular solution is to recalculate the path

uva348 optimal matrix chain multiply classic interval DP

Tag:uva348 optimal matrix link classic interval dp uva348 optimal matrix chain multiplication//typical interval dp//dp[i][j] represents the minimum cost of the matrix I to J chain multiplication//dp[i][j] = min (dp[i][k]+dp[k+1][j]+a[i].pl*a[k].pr*a[j].pr) ;//On the interval I to J find a K make dp[i][k]+dp[k+1][j] these two parts and in addition to the last//A[I].PL*A[K].PR*P[I].PR minimum value;//can ha

Introduction to algorithms 15.5 optimal binary search tree implementation (Java language)

These two days are watchingAlgorithmThe optimal binary search tree in the introduction. for how to implement the dynamic planning of the optimal binary search tree, see Chapter 15th of Introduction to algorithms. I have pasted the optimal binary search tree implemented in Java for your reference. Package homework. part5.work1; import Java. util. optional; publ

POJ 3621 Sightseeing Cows 01 fractional planning, the problem of optimal proportional ring

Http://www.cnblogs.com/wally/p/3228171.htmlPlease poke the topThen a summary of the 01 plan1: For a table, the optimal ratioThis is where each point has benefit and cost, so that's the bare 01 plan2: For a tree, the optimal ratioThis is where each side has benefit and cost, and then the smallest spanning tree to determine3: For a ring to find the optimal ratioThi

Uva348optimal Array multiplication Sequence (optimal matrix chain multiplication + path Output)

Optimal Array Multiplication SequenceTime limit:3000ms Memory limit:0kb 64bit IO format:%lld %lluSubmit Status Practice UVA 348Appoint Description:DescriptionDownload as PDFGiven Arrays A and B, we can determine the array C = AB using the standard definition of the matrix multiplication:The The number of columns in the A array must is the same as the number of the rows in the B array. Notationally, let's say that rows (a) and columns (a) is the numbe

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