smartsheet graphs

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Calculate the perimeter (interface and polymorphism) of various graphs

Calculate the perimeter (interface and polymorphism) of various graphsTime limit:1000 Ms Memory limit:65536 KiBSubmit statisticProblem DescriptionDefines the interface shape, defining the method length () for the perimeter.Define an abstract method that implements the interface shape of the following class:(1) Triangular class triangle (2) Rectangular class Rectangle (3) Circular class circle and so on.Define the test class Shapetest, define the variable shape with the shape interface, use it to

Graph theory-minimum spanning tree (Prim) algorithm with weighted graphs __ algorithm

Algorithm design: The prim algorithm starts from the vertex. Start with a vertex, then put it into the tree's collection, and repeat the following: (1), looking for the newest vertex to all the other vertices of the edges, these vertices can not be in the tree set, put these into the priority queue. (2), to find the edge of the smallest weight to put it and the vertex it reached into the tree set. Repeat this until all the vertices are in the tree, and the program ends. Graph_mstw.java Package

Basic usage of matplotlib (13)--figure drawing multiple graphs __matplotlib

Article Author: TyanBlog: noahsnail.com | CSDN | Jianshu This paper mainly uses matplotlib to draw multiple graphs. Demo 1 Import Matplotlib.pyplot as Plt # definition Figure plt.figure () # figure is divided into 3 rows 3 columns to get the handle of the first child graph, the first of which spans 1 rows, 3 columns, and the starting point is a table (0, 0) ax1 = Plt.subplot2grid (3, 3), (0, 0), colspan = 3, rowspan = 1) Ax1.plot ([0, 1], [0, 1]) ax1

Python uses Pygal to draw data graphs and monitor charts

Python uses Pygal to draw data graphs and monitor charts 2014-03-18 09:44:14 Tags: python charts python monitor graph Python graphics python data show copyright statement: Original works, declined to reprint. Otherwise, legal liability will be held. Objective: Tell me about Python drawing the chart. Charts that previously plotted data typically use RRDtool or the front-end chart JS. Let's talk about RRDtool. This thing is very strong, cacti ganglia a

C # drawing graphs and bars

In our program development process will often need to draw graphs and histogram, etc., especially when doing statistical functions. But sometimes we feel that there is no need to use third party controls (such as zedgraph, etc.), which is the ability to write our own code to implement these graphical drawings. The following is my use in the development process of two pieces of code, is to share everyone, I hope to bring some help, such as improper ple

Call Excel to draw data graphs in ASP

excel| Data | Charts in ASP to call Excel to draw data graphs, the advantages are many, the most prominent is that can output many forms of graphics (a total of 72 kinds). Here's a generic ASP method I wrote to call Excel to draw a data graph. ' Graphical output of the data ' DataArray two dimensional array ' Virtualfilepath output image filename (virtual path) ' Ntype Display Type Dim Inittype Sub ExportPicture (Dataarray,virtualfilepath,ntype) Dim

A connectivity problem for POJ1236 graphs

the topic, we can establish a graph between schools, we can know that the points between the strong connected components can reach each other. So we use the Tarjan algorithm to calculate all the strong connected components. If this graph is a strong connected graph, then we can know that just put the software in a school. Let's look at the case of non-strong connectivity graphs. We shrink the strongly connected component to a single point, then ther

Breadth-first traversal of graph graphs

Breadth-first traversal is a traversal strategy for connected graphs. The basic ideas are as follows: 1, starting from a vertex V0 in the graph, and accessing this vertex; 2, from V0, access to the V0 of the w1,w2,...,wk of the neighboring points; then, from the W1,w2,..., Wk to access their inaccessible neighboring points; 3. Repeat step 2 until all the vertices have been accessed. For example, in the following image:1. Starting with 0, we first find

Depth-first traversal of graph graphs

Depth-first traversal is a traversal strategy for connected graphs. The basic ideas are as follows: Set X is the currently visited vertex, and after the access mark has been made to X, select an undetected Edge (x, y) that departs from X. If vertex y is found to have been visited, re-select an undetected edge from X, otherwise along the edge (x, y) to the never visited Y, access to Y and mark it as visited, and then search from Y until all the paths f

How to use PS and AI to turn pictures into vector graphs

The tutorial mainly uses Photoshop to convert character images into vector graphs. 1. PS Open a file, the file pixel is relatively high, so that the drawings produced in detail will perform better. The foreground colors are set to any color other than white, which is black. 2. Execute the filter--the stamp, set to adjust itself according to the preview chart on the left. Here is a lot of black and white effects can be applied, such as tearing ed

Data structure---The cross-linked list storage representation of C + + language implementation graphs

Recently has been busy with postgraduate examination, a long time has not updated the blog, today write a data structure of the storage.Cross-linked list storage representations for graphs//Xin Yang # include Results: Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Data structure---The cross-linked list storage representation of C + + language implementation

Maximum matching of bipartite graphs and common graph creation methods

edge, then the side () and the side) the path P appears alternately, so P is an augmented orbit relative to M, in this way, we can replace edge 1 and 4 with edge 2 and 3. Then we can add 1 to the number of matched edge sets. The Hungarian algorithm is the same as the constant pursuit of augmented rail implementation. Obviously, if the two vertices in the bipartite graph are N and m, the maximum number of matching values should be less than or equal to min (n, m ); therefore, we can enumerate ev

Data structure (implemented in C) ------- depth-first traversal of graphs, data structure -------

Data structure (implemented in C) ------- depth-first traversal of graphs, data structure ------- [This article is my own learning notes. You are welcome to repost it, but please note the Source: http://blog.csdn.net/jesson20121020] Algorithm Description: Assume that the initial State of a given graph G is that all vertices have never been accessed. If you select a vertex vi in G as the initial starting point, the depth-first traversal can be defin

Question about the (weight) Matching of bipartite graphs

// ********************************* The following is a reprinted *** **************************************** Bipartite Graph Matching Algorithm Summary Hungarian algorithm for maximum matching of bipartite graphs A bipartite graph is such a graph. Its vertices can be classified into two sets X and Y. All edges are associated with two vertices. Exactly one belongs to set X, and the other belongs to set Y. Maximum matching: the matching with the large

The adjacency matrix representation method of graphs and the traversal

The following program can be used to create a forward graph, a forward mesh, an no-direction graph, and a non-net. The graph says that if there is an edge between vertices, it is represented in the matrix with 1, and infinity is represented by 0. In the network, the Edge is the corresponding weight value.The traversal of graphs can be divided into depth-first traversal and breadth-first traversal.The idea of a depth-first traversal is to select an unr

poj_3692 Kindergarten-Two the largest group of graphs

Title: Finding the largest complete binary diagram in a binary graph Theorem: Maximal group of binary graphs = maximal independent set of its complement graph /************************************************author:D arktongcreated time:2016/7/31 15:17:40File Name: poj_3296.cpp*************************************************/#include#include#include#include#include#include#includeSet>#include#includestring>#include#include#include#defineINF 0x3

A simple summary of graphs used in object-oriented modeling

subdivided into 5 types, which are bound (binding) dependencies, implementation (realization) dependencies, using (usage) dependencies, abstraction (abstraction) dependencies, and Authorization (Permission) dependencies, denoted by dashed arrows, The arrows point to the direction of dependence; The generalization relation is represented by the Hollow triangle + solid line, the arrow points to the parent class, the aggregation relation is represented by a hollow diamond + solid Arrow, the arrow

The adjacency table of graphs is implemented _lgraph

Adjacency tables are another efficient means of storing representations of graphs. Each vertex u establishes a single linked list, and each node in the list represents an edge The row of the adjacency matrix.The Adjvex field indicates a adjacency point V of U, and Nxtarc points to the next edge node of U. If it is a net, increase the weight on the edge of a W-domain storage.The constructor completes the dynamic space storage allocation for one-dimensi

Maximum independent set of hdu3829 binary graphs

child 1, 2, 3 happy.The maximum independent set of/**HDU 38,292 is the main idea: there are k children, n dogs, M cats, each child like a pet, hate a pet, if we take a child hates pets, and the rest of the child's favorite pet, then the child will be happy. Asking how to take can make the most children happy. The problem of solving ideas: the maximum independent set of two graphs, for two children can not be happy at the same time, the final maximum

SPSS Statistical graphs

variable diagram is described here, do not make the chart too complicated, otherwise you will lose the chart "intuitive" advantages.To show the correlation of 3 variables, it is best to use three-dimensional coordinates of the three-dimensional statistical chart, but because in fact still on the plane to the three-dimensional diagram, the three-dimensional map is not convenient to use.(1) When a variable is a categorical variable, the two-dimensional graph can be expanded, so that the two-dimen

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