discrete device

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POJ 2417 Discrete Logging (a^x=b (mod c), General Baby_step)

http://poj.org/problem?id=2417a^x = B (mod C), known as a, a. C. Find X.Here c is a prime number and can be used with ordinary baby_step.In the process of finding the smallest x, set X to I*m+j. The original becomes a^m^i * a^j = b (mod c), D = A^m, then d^i * a^j = b (mod c),Pre-a^j into the hash table, and then enumerate I (0~m-1), according to the expansion of Euclid to find out a^j. Then go to the hash table to find the corresponding J, then x = I*m+j.Determine if x has a solution, which is

Discrete Mathematics 5

Discrete Mathematics FiveThe use of the primary disjunction paradigm1. To find the formula of the true assignment and false assignment value.2. Determine the type of formula. It is a tautology, a contradiction or a satisfying formula.3. Determine whether the two proposition formulas are equivalent.Example: Use the main disjunctive paradigm of a formula to determine the type of formula described below:If there are n propositional changes in formula A,

Discrete segment Tree

; - //printf ("(%d,%d)-%d\n", TREE[C].L, TREE[C].R, tree[c].color); - return; - } A if(tree[c].color) { +tree[2*c].color =Tree[c].color; thetree[2*c+1].color =Tree[c].color; -Tree[c].color =0; $ } the intMid = (TREE[C].L + TREE[C].R)/2; the if(R 2*C, L, r, color); the Else if(L > Mid) Updata (2*c+1, L, r, color); the Else { -Updata (2*C, L, Mid, color); inUpdata (2*c+1, mid+1, R, color); the } the } About intans; the BOOLVIS[MAXN]; the voidQueryint

Uva1636-headshot (discrete probability)

Just one shot. The probability of a bullet is a conditional probability, equal to the number of substrings 00 divided by 00 and 01 total (that is, the number of 0), the probability of the transfer of the bullet is equal to 0 of the ratio.The number of substring 00 is a,0 B, then two probabilities are A/b and b/n respectively, the problem is to compare a*n and b*b.#include Uva1636-headshot (discrete probability)

Discrete cosine transform

voidinitfmn () the {Bayi DoubleFirstm =1/math.sqrt (row); the DoubleFIRSTN =1/math.sqrt (col); the for(inti =0; i ) - { - for(intj =0; J ) the { the if(i = =0) the { theFm[i, J] =firstm; - } the Else the { theFm[i, J] = Math.sqrt (2.0/row) * Math.Cos (i * j * Math.PI/row);94 } the

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

Perceptron Training algorithm----discrete single output

Perceptron is an early neural network model, presented by American scholar F.rosenblatt in 1957. Because the concept of learning was introduced for the first time in Perceptron, the learning function possessed by the human brain was simulated in a mathematical model based on symbolic processing, so it aroused a wide concern. The simple Perceptron model is still the structure of the M-P model, but it can gradually enhance the ability of the pattern division by using supervised learning to achie

Timus 1010. discrete function

Timus 1010. The discrete function requires that the given discrete function be used to locate the greatest dip in the line of the corresponding point in the Cartesian coordinate system. 1010. discrete function Time Limit: 1.0 secondMemory limit: 16 MBThere is a discrete function. It is specified for integer arguments

How to automatically draw contour lines (contour lines) based on discrete points: Triangle Method Introduction, contour lines

How to automatically draw contour lines (contour lines) based on discrete points: Triangle Method Introduction, contour lines The automatic contour drawing method can be divided into two categories: Interpolation and curve fitting. in general, the effect of curve fitting is not as good as that of the classic and widely used interpolation algorithms, and the effect is also inferior. this section focuses on interpolation algorithms. In the interpolati

Discrete variable distribution

Discrete variable refers to the variable can only take discrete isolated values, usually by the number of units of measurement, such as number, number of units. Many of the distributions of discrete variables are related to last, so let's take a look at the last experiment:In the same condition, repeated and independent experiments of each other have become last.

Calculus based on algorithm--linear algebra--Discrete mathematics

??Recently, when implementing algorithms. Feel the lack of knowledge of mathematics, here-------------------------------------------------- calculus --------------------------------------------- -------------Calculus Open Class:mit: univariate calculushttp://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/Http://v.163.com/special/sp/singlevariablecalculus.htmlmit: Many variable CalculusHttp://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/inde

Calculus based on algorithm--linear algebra--Discrete mathematics

 Recently in the implementation of the algorithm, the feeling of lack of knowledge of mathematics, here-------------------------------------------------- calculus --------------------------------------------- -------------Calculus Open Class:mit: univariate calculushttp://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/Http://v.163.com/special/sp/singlevariablecalculus.htmlmit: Many variable CalculusHttp://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculu

The discrete Fourier transform of Python images

The two-dimensional discrete Fourier transform of image (MxN) can transform the image from the spatial domain to the frequency domain, the spatial coordinates are represented by x, y in the space domain, the frequency domain is represented by u,v, and the formula of the two-dimensional discrete Fourier transform is as follows:In Python, the FFT module of the NumPy Library has a two-dimensional

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)

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