determinant calculator

component function. The Jacobi matrix is the derivative of the vector-valued function \ (f\) at the \ (x\) point: \ (\delta y=\textbf{f} (X_0+\delta x)-\textbf{f} (X_0) =a\delta X+\textbf{o} (\delta x), \ Qquad a=j\textbf{f} (x_0) \) "Jacobi determinant" If the vector value function \ (m=n\), then the determinant of its Jacobi matrix is the Jacobi determinant,

1#include 2 3 voidShowdet (intNintd[n][n]);4 intGetval (intNintd[n][n]);5 intGeta (intNintd[n][n],intXinty);6 7 intMainintargcChar*Argv[])8 { 9 do{Ten intn,i,j; oneprintf"Please enter the order of the determinant (enter 0 exit): \ n"); ascanf"%d",n); - if(n==0) break; -printf"Please enter a determinant (space-delimited): \ n"); the intd[n][n]; - for(i=0; i){ -

Section 1 second-and third-order Determinant Before introducing the concept of determining factors, we first construct a math: place the four numbers on the four corners of a square, and add two vertical bars. That is to say, this toy corresponds to a result: the difference between the product of numbers on two diagonal lines. That is For example The diagonal line in the direction is called the main diagonal line, and the diagonal line in the directio

This chapter begins with an introduction to another basic concept in linear algebra-the determinant.In fact, like the Matrix, the determinant is also a tool for simplifying the expression polynomial, about the historical origin of the determinant, as the following introduction.In introducing the inverse matrix, we have mentioned that the second-order matrix has a corresponding

#include"stdafx.h"#include#include#include#defineNUM 3intFun (intNintA[num][num]);/*function Declaration*/intMain () {inti =0, j =0;/*i,j represents rows and columns, respectively*/ inta[3][3] = { { -,6,2},{6,3,3},{5,9,8} };/*Defining determinant*/printf ("%d\n", Fun (NUM, a)); System ("Pause"); return 0;}/*The following is a recursive function for calculating determinant values*/intFun (intNintA[num][nu

relationship between eigenvalues of matrices and determinant and trace From:http://www.cnblogs.com/andyjee/p/3737592.htmlThe product of eigenvalues of matrices equals the determinant of matrices The sum of the eigenvalues of the matrices equals the traces of the matrices The simple understanding proves as follows: the Vedic theorem of 1, two quadratic equations: Think about this: x^2+bx+c=0 the sum of al

Determinant typeDeterminant in mathematics, is a function that defines the field as a Det matrix A, takes a scalar, writes Det (a) or | A |. The determinant can be seen as a generalization of the concept of a direction area or volume in a general Euclidean space. Or, in n-dimensional Euclidean space, the determinant describes the effect of a linear transformation

It's been a long time since I wrote C, and today I wrote a matrix algorithm.The complete code is as follows:#include #include#includestring>using namespacestd;//Create a matrixfloat**creat (intN) { float**array=New float*[n]; for(intI=0; i) {Array[i]=New float[n]; } printf ("Please enter the matrix: \ n"); for(intI=0; i) { for(intj=0; j) {cin>>Array[i][j]; } } returnArray;}//to find the determinant value:floatValue (float**array,

area retains 3 decimal places.Sample inputRectangle 0.0 0.0 1.0 2.0Circle 0.0 0.0 1.0Triangle 0.0 0.0 1.0 1.0 1.0 0.0Rectangle 0.0 0.0 1.0 1.0Circle 0.0 0.0 2.0Sample outputCircle2 12.566Circle1 3.142Rectangle1 2.000Rectangle2 1.000Triangle1 0.500ExercisesSince the calculation of the Helen formula will have errors, we use the second-order determinant to calculate the area of the triangle:Set A (X1,y1), B (X2,y2), C (X3,Y3) in the coordinate system in