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Hdu1542_atlanta (scanned line/line segment tree + discrete)

Solution report Question Portal Question: Calculates the rectangle and area. Ideas: Discrete + line segment tree + scanned line. #include Atlanta Time Limit: 2000/1000 MS (Java/others) memory limit: 65536/32768 K (Java/Others)Total submission (s): 6942 accepted submission (s): 3046 Problem descriptionthere are several generated ent Greek texts that contain descriptions of the fabled island Atlanta. some of these texts even include maps of parts of

HDU 4638 Group (offline algorithm | discrete line segment tree query), hdu4638

HDU 4638 Group (offline algorithm | discrete line segment tree query), hdu4638 Address: HDU 4638First, I wrote a letter to the MO team. It's very simple.The Code is as follows: #include Then I read the question report and found that the line segment tree and offline query can also be used. And it's amazing ..First, save it offline. Maintenance is performed from left to right to maintain the relative number of the previous values for the current enum

[Discrete logarithm] ultraviolet A 11916 Emoogle Grid

[Discrete logarithm] ultraviolet A 11916 Emoogle Grid Question: Apply K colors to an M * N matrix. There are B cells that cannot be colored, and each cell cannot be the same color as the cell above. If N and total result R are known, find the row M with the minimum satisfaction. All data has a modulo value of 100,000,007. Ideas: Because the X coordinates of the input vertex that cannot be colored must be within M. So record maxX. Divide the entire mat

HDU 1542 Atlantics segment tree + discrete scan

;>Y2; Ax[k]=X1; +S[k++]=seg (X1,x2,y1,1); thex[k]=x2; -S[k++]=seg (x1,x2,y2,-1); $ } theSort (x,x+k); theSort (s,s+k); the intt = unique (x, x+k)-x; the Doubleans=0; - in for(intI=0; i//Scan Segments the intPOS1 =Bin_search (s[i].x1, t); the /* About This is because it is understood to be a legal line segment, so the right-most point is the first I-dot, corresponding to the first i-1 edge the Similarly, in Updatecur, the calculation of th

Discrete Distribution of memory

the paging system; it consists of two parts: page number P and page displacement W, that is, the address on the page; (3) continuous allocation forms many "fragments". To reduce fragments and improve memory utilization, the discrete allocation mode is introduced;(4) paging system memory management: the system address is changed by querying the page table; (5) (6) It indicates the address conversion mechanism of the paging system. The address conve

Ultraviolet A 1426-discrete square roots (Extended Euclidean)

Link to the question: Ultraviolet A 1426-discrete square roots Returns X, N, R, and returns all satisfied R, so that R2 returns X % N, and R is a solution. Solution: R2? R2 = K? N (R? R) (R + R) = K? N => AA = (R + r), BB = (r? R), A, and B are the factors of N.So if we enumerate a and B, r = r? AA = BB? R AA + BB = 2? RExpand the Euclidean solution and free all satisfied items into the set to automatically remove duplicates. #include

Artificial neural Network (Artificial neural netwroks) Note-discrete single output perceptron algorithm

Recently in the study of Artificial neural network (Artificial neural netwroks), make notes, organize ideas Discrete single output perceptron algorithm, the legendary MP Two-valued Network: The value of the independent variable and its function, the value of the vector component only takes 0 and 1 functions, vectors Weight vector: w= (W1,W2,W3.....WN) Input vector: x= (X1,X2,X3.....XN) Training Sample Set {(x,y) | Y is the output of input vector

Signal and system 10: discrete Fourier series and Transformation

Like the Fourier series and transformation of continuous signals, the two have the majority of similarities, but the most important difference is that the Fourier coefficient of discrete signals has a period, discrete Signals are split into a complex exponential signal, which is also cyclical. The reason for these phenomena is the difference between E ^ (jkwn) and E ^ (jkwt, If x (n) = E ^ (jkwn) and X (t)

Demo of discrete point set in chaotic mathematics

The basic meaning of chaos can be summarized as follows: clustering, weekly behavior, reply, and closed. It means that the motion of a chaotic orbit is completely controlled by the law, but the orbital motion in the phase space will not stop. It will always move in the finite space, and the non-Intersecting motion will not be closed. The chaotic motion table is out of order and creates a kind of randomness, also known as inherent randomness. Chaotic Systems have three key elements: first, sensit

Chapter 6-image transformation-convolution and discrete Fourier transform DFT (cvdft)

cvgetsubrect function returns the matrix header Based on the specified array rectangle. In other words, the function allows processing a specified stator rectangle of the input array just like processing an independent array. When processing functions, consider the input array Roi. Therefore, the array Roi is actually extracted. DFT DFTExecutes the Discrete Fourier positive transformation or the

Gray-scale image--discrete time Fourier transform of frequency domain filter Fourier transform (DTFT)

, not the future where the problem will always doubt their knowledge base has problems." Also, I hope that our contemporary scientific research workers can do a good job in research, all bad teaching and do not study, it is really a bunch of waste. derivation of discrete-time Fourier transform from Fourier series of discrete periodic signalsA certain finite sequence x[n], which in a certain phase n (n1x ' [

Hotspot Association rule Algorithm (1)--mining discrete data

Refer to association Rules algorithm, generally think of Apriori or FP, generally very few think of the hotspot, the algorithm does not know the application is less or I check the data means too low, in the Internet only found very little content, this article http:/ /wiki.pentaho.com/display/datamining/hotspot+segmentation-profiling, probably analyzed a little, the other seems to have not seen how. More useful algorithm class software, such as Weka, which already contains the algorithm, in the

Pandas.get_dummies discrete feature coded __ encoding

Import NumPy as NP from pandas import Series, dataframe import pandas as PD df = dataframe {' key ': [' B ', ' B ', ' A ', ' C ', ' A ', ' B '], ' data1 ': Range (6)}) pd.get_dummies (df[' key ') print (DF) ' data1 key 0 0 B 1 1 B 2 2 a 3 3 C 4 4 A 5 5 B ' ' dummies = pd.get_dummies (df[' key '), prefix= ' key ') Df_with _dummy = df[[' data1 ']].join (dummies) print (df_with_dummy) ' ' Data1 key_a-key_b key_c 0 0 0.0 1.0 0. 0 1 1 0.0 1.0 0.0 2 2 1.0 0.0 0.0 3 3 0.0 0.0 1.0 4 4 1.0 0.0-0.0 5

Understanding discrete Fourier transforms (three complex numbers)

Understanding of discrete Fourier transform (d)------complex form of discrete Fourier transform the discrete Fourier transform is very ingenious to use the complex method, making Fourier transform transformation more natural and concise, it is not simply to use the replacement method to use the complex Number, but to analyze the problem completely from the plural

Discrete Mathematics--Number theory algorithm

Recently in the review of discrete mathematics, this article is "Discrete Mathematics and its application" in the sixth edition of the third chapter algorithm, integers, and matrices involved in a number of algorithms, I thought about it, the light also does not play any role, so I wrote a bit, the following code is my own according to the Book of Pseudo-code written out, Preliminary verification No problem

On the understanding of discrete and intensive API calls in Network layer

Intensive type:An intensive API call is actually a call to just one class for all APIs, and then this class receives the API name, API parameters, and callback landing points (which can be target-action, or blocks, or delegate, for various modes of landing) as parameters. Then execute a method like Startrequest, which will take off according to these parameters to invoke the API, and then obtain the API data and then according to the designated landing point to land.The example is that every tim

(7) How to manipulate Excel files with Apache POI-----How to draw a discrete graph with Apache POI

and a work form object Workbook wb = new Xssfworkbook (); Sheet Sheet = Wb.createsheet ("Sheet 1");2. The following code is generated to initialize the data, the total data has 3 rows 10 columns.Final int num_of_rows = 3; final int num_of_columns = ten; Create a row and put some cells in it. Rows are 0 based. Row row; Cell cell; for (int rowIndex = 0, rowIndex 3. The following code sets the area of paint: Starting at line 5th, ending with 15 lines, occupying

Oschina entertainment bullet-Tips for Discrete Mathematics, have you learned?

Label: style blog HTTP color OS ar strong SP 2014 Haha, today is a panic Sunday, tomorrow is Monday ~ Don't forget to study on weekends. Now, let's review discrete mathematics ~ By the way, I have a thorough understanding of the girl's skills. It's not a dream for the girl friend of programmers! The discrete mathematics class (csci2110) has an interesting question. Suppose there are five boys and fi

Thoughts on Discrete Mathematics and Its Application)

Discrete Mathematics and its application have a lot of content, which is difficult. If you want to learn programming, you can find a discrete mathematics with a lower difficulty but a lot of content. Second, we need to learn about the data structure and algorithms.Discrete Mathematics is very important for algorithm design. It is more difficult to provide more in-depth content. We suggest learning it step b

"Mathematics in machine learning" probability distribution of two-yuan discrete random variables under Bayesian framework

} first.Bernoulli distribution (Bernoulli distribution)Bernoulli distribution (the Bernoulli distribution, also known as the two-point distribution or 0-1 distribution, is a discrete probability distribution, named after the Swiss scientist Jacob Bernoulli), the Jobbenouri test succeeds, the Bernoulli random variable value is 1. If the Jobbenouri test fails, the Bernoulli random variable is evaluated as 0.Maximum likelihood estimation (Maximum likelih

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