One, Control FlowIn control flow, the task is the smallest unit, and the task is kept in sync by precedence constraint.1,control Flow cannot pass data between components to perform tasks serially or in parallel, acting as the dispatcher of a task.If precedence constraint is not set between two tasks, then these two tasks are executed concurrently. In the design package, maximizing the concurrency of the tas
ObjectiveThe previous article mainly describes the file character input stream filewriter, file character output stream filereader, file byte output stream fileoutputstream, file byte input stream FileInputStream, these are common flow classes. Of course, in addition to these stream classes, Java also provides a lot of flow classes for users, this article looks at other streams.Pipe flowpipeline
Network Flow introduction, flow Introduction
This series of articles only discuss the application of network stream in the informatics CompetitionPreface
Network stream is a very huge system in the informatics Olympics. Because the model of this knowledge point is changeable, the modeling method is complicated, and the capability of contestants is demanding, therefore, it is often seen in various difficul
and then the path does not intersect.Disjoint this constrains the fact that we cannot separate two paths.Point can only go once, split, flow is 1, the cost is 1.And then build the edges according to the original. (Only from west to east, two-way side in fact only one is built)1#include 2#include 3#include 4#include 5#include 6#include 7#include 8#include 9 using namespacestd;Ten #defineMAXN 2010 One #defineINF 0XFFFFFFF A -mapstring,int>M; - intn,m;
One, the definition of network flow: the graph g= (v,e), the point concentration has a source point S, a meeting point T. and s in the degree of 0,t out of 0. For each edge edge, there is a weight function C, which represents its capacity, a weight function f, which represents its actual traffic.Satisfies the F (edge) Definition of the maximum flow: the maximum flow
Title DescriptionTitle, a network diagram is given, along with its source and sink points, each edge is known for its maximum flow rate and unit traffic cost, and the minimum cost of its maximum flow and maximum flow is calculated.Input/output formatInput format:The first line contains four positive integers n, M, S, T, which represent the number of points, the n
Topic Links: http://acm.hdu.edu.cn/showproblem.php?pid=3549Thinking Analysis: The problem is bare maximum network flow problem, the data is not large, using the EDMONDSKARP algorithm can be solved; it is important to note that there are up to 15 points for this problem, and the number of edges is up to 1000, so there are heavy edges in the graph, and multiple heavy edges need to be combined as one edge;The code is as follows:#include #include#include#
Test instructions: There are n points and m bars have a network of edges, each side has two costs:D: Cost of destroying this side B: rebuilding the cost of a two-way sideLooking for such two point sets, so that the point set S points set T satisfies the cost of destroying all the paths of S to T and > destroys all T to S of the cost of the path and + rebuilds these T to s the cost of the bidirectional path and.Idea 1:And then this is the solution to the feasible
The title says:
A restaurant in successive N days, the first day I need RI block napkins (i=l,2,...,n). The restaurant can get napkins from three different ways.
Buy a new napkin, each piece needs p points;
The use of napkins to the quick wash, wash a piece of M days, the cost of f (f
Take the napkin to the slow wash, wash a piece to be N Days (n>m), the cost of S (s
At the end of each day, the restaurant must decide how many pieces of used napkins are deliv
1. Data Flow Diagram)
Adhere to DFD, which expresses the system's logical functions in graphical form from the perspective of data transmission and processing. The logical flow of data within the system and the logical Exchange Process, is the main expression tool of the structured system analysis method and a graphical amplification used to represent the software model. It is a transformation that depicts
C + + file stream classes and file stream objectsA file stream is a data stream that takes an external memory file as an input and output object. The output file stream is the data flowing from memory to the external memory file, and the input file stream is the data flowing from the external storage file to RAM. Each file stream has a memory buffer corresponding to it.
Distinguish between file flow and file concepts without mistaking the file stream
I. Residual networks and Augmented roadsResidual networks, augmented paths and cuts are the three basic concepts that make up the maximum flow minimum cut theorem, which skillfully uses the smallest cut in the network to describe the maximum flow value.1. Residual networkFor network g= (V,E,C), set stream F is the stream in G. The residual network is intuitively composed of edges that can also hold more str
DFI adopts an application recognition technique based on traffic behavior, that is, different application types are different in the state of session connection or data flow. For example, the network IP voice traffic reflected in the flow state of the characteristics are very obvious: the RTP packet length is relatively fixed, generally in the 130~220byte, the connection rate is low, for 20~84KBIT/S, while
3396: [Usaco2009 jan]total Flow Current time limit:1 Sec Memory limit:128 MB
submit:179 solved:73
[Submit] [Status]
Description InputThe 1th line enters N, and then each row of n lines describes a water pipe, and the first two letters indicate the two ends of the water pipe (the uppercase and lowercase letters are not the same), and the latter integer represents the flow of the water pipe, and the
Reference:maximum stream + expense flow. first ask the maximum flow can be. The second question is "minimum cost maximum flow". by test instructions, this question can be translated into the "residual network" on the previous question, expanding the capacity of some edges so that the maximum flow from the new graph is
The main topic: There are n houses, M-bar side. The point of Number 1 is the network Center. Now give you K house, each house must be connected by a cable to the network center. There are two rules for wiring: 1. A network cable must be complete, with only one color. 2, the edge of all the network cable must be different colors, the edge is the edge of two houses, such as 3->2->1 on the two side of the request: the minimum number of colors. Look at the topic specifically.Ideas:Must be the maximu
For complex practical problems, there are usually dozens or even dozens or hundreds of processes on the data flow diagram. Such a data flow diagram looks unclear. The hierarchical data flow diagram can solve this problem well.
System S in
Figure 1.5 system processing data flow diagram
Its Input and Output refl
Main topic:No direction graph, to find the maximum flow.Algorithm discussion:Dinic can be too. At last my constant is still too big. Pay attention to it later.1#include 2#include 3#include 4#include 5#include 6#include 7 using namespacestd;8typedefLong Longll;9 Ten structmf{ One Static Const intN = the+5; A Static Const intM =60000+5; - Static Constll oo =10000000000000LL; - the intN, m, s, T, tot, Tim; - intFirst[n], next[m]; - intU[m], v[m], cur[n], vi[n]; - ll Cap[m],
Why yesterday looked at the time has been not understand, sure enough IQ is flawed ... And then I see it tonight. Orzorz, the key is to limit the capacity of that skill ... --------------------------------------------------------------------------------------------#include #include #include #include #include using namespace Std;#define REP (i,n) for (int i=1;i#define CLR (x,c) memset (x,c,sizeof (x))const int inf=0x3f3f3f3f;int read () {int X=0;char C=getchar ();while (!isdigit (c)) C=getchar ()
from:http://richardxx.yo2.cn/articles/Network maximum flow and minimum cost flow. html
This period of time reviewed the network flow model, feeling than before the understanding has made great progress, although I know this thing is difficult to build on the model, and its algorithm itself is not very difficult, but I decided to say some of my understanding, afte
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