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Description: * 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵
* 输入: n----方阵A的行数
* a----矩阵A
* m----矩阵B的列数
* b----矩阵B
* 输出: det----矩阵A的行列式值
* a----A消元后的上三角矩阵
* b----矩阵方程的解X
-out the main elements of Gaussian elimination method for solving matrix equations AX = B, where A is N * N matrix, B is N * M matrix * Input : n ---- A phalanx of a few-a matrix * A * m-matrix shown in a few B * b ---- Matrix B * output : det-A matrix of a determinant value ---- A * Elimination of upper triangular matrix * b ---- Matrix The X-Solutions
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Size: 3241 |
Author: xuyan |
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Description: * 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵
* 输入: n----方阵A的行数
* a----矩阵A
* m----矩阵B的列数
* b----矩阵B
* 输出: det----矩阵A的行列式值
* a----A消元后的上三角矩阵
* b----矩阵方程的解X
-out the main elements of Gaussian elimination method for solving matrix equations AX = B, where A is N* N matrix, B is N* M matrix* Input : n---- A phalanx of a few-a matrix* A* m-matrix shown in a few B* b---- Matrix B* output : det-A matrix of a determinant value---- A* Elimination of upper triangular matrix* b---- Matrix The X-Solutions
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Size: 3072 |
Author: xuyan |
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Description: 利用C语言实现矩阵的行列式的计算，采用QR方法-Realize the use of C language for calculating the determinant matrix using QR method
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Size: 66560 |
Author: 毕比 |
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Description: 数值计算：使用幂法、反幂法、LU分解等求解矩阵的按模最大特征值、按模最小特征值、第二条件数以及矩阵行列式值的C++源码实现-C++ implemented Power Method, Inverse Power Method, LU to calculate the eigen & det value of a matrix
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Size: 642048 |
Author: Smyle |
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Description: A matrix of symbolic elements is reasonably useful for many analytic linear algebra applications, and for analytic vector, matrix and tensor differentiation.
This function produces a matrix of arbitrary dimension of symbolic elements that are indexed by their position in the symbolic matrix for ease of reference.
EXAMPLE
>> M = symMat([2 2], m , real )
M =
[ m11, m12]
[ m21, m22]
>> class(M)
ans =
sym
>> det(M)
ans =
m11*m22 - m12*m21
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Size: 2048 |
Author: Józef |
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Description: determinant of a matrix-determinant of a matrix
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Size: 1024 |
Author: basia |
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Description: C++实现求矩阵行列式，手动输入维数和矩阵-C++ implementation requirements matrix determinant
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Size: 167936 |
Author: lsy |
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Description: Solving determinant of a matrix
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Size: 1024 |
Author: Yang Fan |
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Description: 行列式在数学中，是由解线性方程组产生的一种算式。[1]其定义域为nxn的矩阵A，取值为一个标量，写作det(A)或 | A | 。行列式可以看做是有向面积或体积的概念在一般的欧几里得空间中的推广。或者说，在 n维欧几里得空间中，行列式描述的是一个线性变换对“体积”所造成的影响。无论是在线性代数、多项式理论，还是在微积分学中（比如说换元积分法中），行列式作为基本的数学工具，都有着重要的应用。 行列式概念最早出现在解线性方程组的过程中。十七世纪晚期，关孝和与莱布尼茨的著作中已经使用行列式来确定线性方程组解的个数以及形式。十八世纪开始，行列式开始作为独立的数学概念被研究。十九世纪以后，行列式理论进一步得到发展和完善。矩阵概念的引入使得更多有关行列式的性质被发现，行列式在许多领域都逐渐显现出重要的意义和作用，出现了线性自同态和向量组的行列式的定义。-Determinant in mathematics, is a formula by solving linear equations. [1] defined domain nxn matrix A, the value of a scalar, writing det (A) or | A |. Determinant can be seen as to the promotion of the concept of area or volume in general Euclidean space. Or, in the n-dimensional Euclidean space, described the impact of a linear transformation of the "volume" determinant. Both linear algebra, polynomial theory or calculus (for example change element integral method), the determinant as the basic mathematical tools have important applications. Determinant concept first appeared in the process of solving linear equations. Determinant of the seventeenth century late SEKI and Leibniz s writings have been used to determine the number of solutions of linear equations as well as the form. 18th century, the determinant started as an independent mathematical concepts being studied. The 19th century onwards, the the determinant theory further development and improvement. Matrix concept makes mo
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Size: 105472 |
Author: lay |
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Description: Using LU Decomposition Method to solve determination of matrix writing by C-Using LU Decomposition Method to solve determination of matrix writing by C
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Size: 1024 |
Author: KK Lee |
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Description: calculation of the determinant of matrix NxN
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Size: 1024 |
Author: Tryin |
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Description: 主要是实现矩阵的相关计算，特别是行列式的计算，进而可以计算逆矩阵，还可以求多元线性方程乘组的解-This programme is used to compute the det of matrix
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Size: 850944 |
Author: Wang Jian |
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Description: 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测
参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hessian) and Ridge interest point operators in combination with spatial scale selection based on the extrema of scale-normalized Laplacian and affine adaptation basen on second-moment matrix. Scale and shape adaptation are optional and disjoint.
Zip archive: affintpoints.zip
Ref: An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.
What is in the package:
1) ineterst point detection of different kinds (Harris, Laplace, det(H), Ridge)
2) scale, shape and position adaptation procedure
3) demo examples and a script for batch-mode computation and saving of the results
what is not in the package:
- no rotation estimation
- no region descriptor computation
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Size: 901120 |
Author: 灵台斜月 |
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Description: 仿MATLAB矩阵C++运算库,包括加、减、乘、除、点加、点减、点乘、点除、赋值、转置、rank、det、eig、svd、pinv、power等的运算。inv运算使用pinv运算。最难实现的是非方阵的除法。-MatLab Matrix simulator
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Size: 23552 |
Author: maguangzhi |
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Description: c语言求行列式值，输入条件：矩阵的秩，数组指针-get the det of a matrix
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Size: 1024 |
Author: 秋风 |
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