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FFT (Fast Fourier transform): HDU 4609 3-idiots

3-idiotsTime limit:10000/5000 MS (java/others) Memory limit:32768/32768 K (java/others)Total submission (s): 3560 Accepted Submission (s): 1241Problem Description King OMeGa catched Three men who had been streaking in the street. Looking as idiots though, the three men insisted that it is a kind of performance art, and begged the king to free them. Out of hatred to the real idiots, the king wanted to check

HDU 4609 3-idiots (FFT)

Long) (T1[i].real () +0.5); theLc=Len; - }Wuyi intMain () { the intT; -scanf"%d",T); Wu while(t--){ -scanf"%d",n); About for(intI=1; i"%d",a[i]); $mxnum=0; - for(intI=1; iStd::max (Mxnum,a[i]); - for(intI=1; i; - intLC; AMul (a,mxnum+1, b,mxnum+1, C,LC); + for(intI=1; i2]--; the for(intI=1; i2; i++) c[i]/=2; -sum[0]=0; $ for(intI=1; i2; i++) thesum[i]=sum[i-1]+C[i]; theStd::sort (A +1, A +1+n); thell ans=0; the for

HDU 4609 3-idiots fft+ tolerance

)Const{ returnComplex (r-a.r,i-A.I); } Complexoperator*(ConstComplex a)Const{ returnComplex (r*a.r-i*a.i,r*a.i+i*A.R); }};voidChange (complex x[],intLen) { inti,j,k; for(i=1, j=len/2; i1;++i) { if(ij) Swap (X[i],x[j]); K=len/2; while(j>=k) {j-=k;k>>=1;} if(jK; }}voidFFT (complex x[],intLenintOn ) {Change (X,len); for(intI=2; i1) {Complex wn (cos (-on*2*pi/i), sin (-on*2*pi/i)); for(intj=0; ji) {Complex W (1,0); for(intk=j;k2;++k) {Complex U=X[k]; Complex T= w*x[k+i/2]; X[K]=u+

Discussion-how to promote LINUX in China? How can we make it available to almost computer idiots?

Discussion-how to promote LINUX in China? How can we make it available to almost computer idiots? -- Linux general technology-Linux technology and application information. For details, refer to the following section. Discussion-how to promote LINUX in China? How can we make it available to almost computer idiots? The biggest problem with LINUX is ease of use. If a person with a low computer level can use

Correspondence between relational algebra (Relation Algebra) and SQL statements

The execution of SQL statements is generally translated into relational algebra and then executed (which can effectively improve execution speed), so we need toUnderstand the correspondence between relational algebra and SQL statements.Just like high school algebra consists of +-*/and numbers, relational algebra is com

Work status of it idiots 22-a verbal war triggered by the Dalvik Virtual Machine

Machine. Why is this definition? Because they follow the Java Virtual Machine specification, is Dalvik VM a Java Virtual Machine? It is estimated that only the author of the book you read thinks so" Later, the debate began on the proposition that "is Dalvik a Java Virtual Machine. It reminds me of the white horse and non-Horse Theory. "Seeking horses and black horses can both be done. Seeking white horses and black horses cannot be done ". However, some of his statements are worthy of recogniti

HDU 4609 3-idiots (Fast Fourier convolution)

{ returnComplex (r*t.r-i*t.i,r*t.i+i*T.R); }}x1[500100];voidFFT (Complex y[],intNintrev) { for(intI=1, j,k,t;i){ for(j=0,k=n>>1, t=i;k;k>>=1, t>>=1) j=j1|t1; if(ij) Swap (Y[i],y[j]); } for(ints=2, ds=1; s1) {Complex WN=complex (cos (rev*2*pi/s), sin (rev*2*PI/S)), W=complex (1,0), t; for(intk=0; kWN) { for(inti=k;is) {T=w*y[i+DS]; Y[i+ds]=y[i]-T; Y[i]=y[i]+T; } } } if(rev==-1) for(intI=0; iN;}Long LongTemp,ans;intMain () {inti,j,k,t,n,m; while(SCANF (

hdu4609 3-idiots

); - for(intI=0; i) AAns[i]=a[i].real () +0.5; + } the intMain () - { $ inttest; thescanf"%d",test); the while(test) the { thetest--; -scanf"%d",n); inL=0; theMemset (A,0,sizeof(a)); thememset (b,0,sizeof(b)); About for(i=1; i) the { thescanf"%d",v); thec[i]=v; + intQ=a[v].real () +1; - a[v].real (q); the b[v].real (q);BayiL=Max (l,v); the } thelen=1; - while(len2) len*=2; - Conv (A,b,len); the for(i=1; i) theans[c[i]+c[i]]--; the for(i=0; i)

On the symbolic calculus in Banach algebra 1. Symbolic calculus in general Banach algebra

Rudin's This "functional analysis" is really not very good to read, in general, because the books in the details of the place is indeed too much, not very good grasp. I look at this book with the purpose of learning operator algebra, so I don't want to fall into the function space, especially the Fourier transformation problem associated with it, soAfter studying the relevant knowledge about the topological and space, the local convex space and the co

Hdu 4609 3-idiots (FFT) __ Number theory

Description King OMeGa catched Three men who had been to the street. Looking as idiots though, the three men insisted that it is a kind of art, and performance the king to free begged. Out of hatred to the "real idiots", the king wanted to check if they were lying. The three men were sent to the king's forest, and each of them is asked to pick a branch one after another. If the three branches they bring ba

DirectX 11 Game Programming Learning Note 2: Article 1 chapter vector Algebra (vectors algebra)

: Vectoralgebra (vector algebra) is described.The content of this chapter (and the next two chapters) is very easy, especially if you have seen the second edition of "Dragon book", but there are still a lot of noteworthy places.Because the author himself may be more lazy. Coupled with the fact that a lot of content has not changed substantially (for example, the math part of the story), people who have read the second edition of "Dragon book" will thi

Matrix and linear algebra in F #, Part II: doing linear algebra via math providers [z]

Long story short Suppose we are using the latest release, 1.9.9.9, which does not support linear algebra anymore in its PowerPack. but linear algebra is supported before in 1.9.7.8. under its bin \ folder, there is a DLL named FSharp. powerPack. math. providers. dll. "Math providers" means F # callother math libraries, to be specific, an incomplete managed implementation in F #, Netlib's Lapack + Blas and I

Parallel Computing of relational algebra and parallel computing of relational algebra

Parallel Computing of relational algebra and parallel computing of relational algebra The parallel execution of SQL queries has been extended from the learning of Dremel and Impala, so I took this opportunity to learn more about the parallel computing of relational databases and relational algebra.Speedup and Scaleup Speedup means that two times of hardware is used for half the execution time. Scaleup refer

"Abstract algebra" 02-Algebra and Group

algebraic system of two-dollar operation, referring to the examples are mainly from number theory and permutation transformation. The following discussion will be more verbose in the analysis of ideas, but these are the essence of abstract algebra, and some of the proof process and results are less important. I hope you can always close your books and reconstruct these theories and experience the thinking of abstract

Database 6 relational algebra (relational algebra) function dependencies (functional dependency) __html

Reference: Relational algebra--Division Reference: Database relational algebra expression learning Note: The number of attributes (attribute) of the collection after the join for the normal join:a join B is added to the a,b number of columns (attribute) Natural Join merges all columns with the same name {σ,π,x,∪,-}->{select, Project, Product, union,difference} are called basic operators, and other algeb

Function example for solving a binary one-time equation based on the algebraic equation library Algebra. js, the algebraic equation algebra. js

Function example for solving a binary one-time equation based on the algebraic equation library Algebra. js, the algebraic equation algebra. js This example describes the function of solving a binary one-time equation based on the algebraic equation library Algebra. js. We will share this with you for your reference. The details are as follows: Assume that the bi

Linear algebra--Linear Algebra with Applications

rate, that is, AB! = BA.@, define a m*n matrix a transpose (transpose) to n*m Matrix B, defined as Bji = AIJ where j=1, ..., N and I=1, ..., M. a transpose is at.@, defines a n*n matrix A, if satisfied at=a, is called symmetric (symmetric).@, the Law of matrix algebra:@, Unit matrix (Identity matrix): I = (Δij), where Δij = 1 (When I = j) or 0 (when i≠j). BI = B, IC = C.@, use column vectors to denote i, I = (e1, E2, ..., en), do not use IJ.@, define

Study Summary of linear algebra "Linear Algebra and its application"

matrix can be orthogonal diagonalization equivalent to it is a symmetric matrix. \ (a=pdp^{-1}\) can get PCA (machine learning algorithm principal component analysis, diagonalization of covariance matrix (symmetry)) The two-time equation is transformed into a form without cross-multiplication. X=py, \ (A = pdp^{-1}\). For two functions \ (x^{\top}ax\), the |x| = 1, the maximum value is the maximum eigenvalue and the minimum value is the minimum eigenvalue. If the maximum eigenvalue

Spark linear algebra, Introduction to Drawing tools; Introduction to Scala, Breeze linear Algebra in Java, and data drawing tools Breeze-viz

* */ /** * Linear Algebra Cheat-sheet enumerated these operations: Https://github.com/scalanlp/breeze/wiki/Linear-Algebra-Cheat-Sheet * similar to MATLAB or NumPy, Breeze also supports a range of operations Breeze matlab numpy elementwise addition A + b A + b A + b Elementwise multiplication

How do you understand "linear algebra"? _ Linear algebra

What is the practical significance of linear algebra? What is the matrix? What does the operation between matrices represent? Many people still don't understand these questions at school, so I think we should start with understanding the nature of the course. There are only a few articles or answers that provide an understanding of the nature of linear algebra. Bloggers repeatedly read several times to dee

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