<noscript id="yis4k"></noscript> 利用C語言實(shí)現(xiàn)矩陣的行列式的計(jì)算，采用QR方法
上傳時(shí)間： 2016-06-10
上傳用戶：wweqas
The CoinUtils project is a collection of open-source utilities developed and used by a variety of other projects in the COIN-OR repository. The project includes classes for storing and manipulating sparse matrices and vectors, performing matrix factorization, parsing input files in standard formats, building representations of mathematical programs, comparing floating point numbers with a tolerance, performing simple presolve operations, and warm starting algorithms for mathematical programs, among others.
標(biāo)簽： open-source collection CoinUtils developed
上傳時(shí)間： 2013-12-19
上傳用戶：xmsmh
給定n個(gè)矩陣{A1,A2,…,An}，其中Ai與Ai+1是可乘的，i=1,2,…,n-1?？疾爝@n個(gè)矩陣的連乘積A1A2…An。由于矩陣乘法滿足結(jié)合律，故計(jì)算矩陣的連乘積可以有許多不同的計(jì)算次序，這種計(jì)算次序可以用加括號(hào)的方式來確定。若一個(gè)矩陣連乘積的計(jì)算次序完全確定，則可以依此次序反復(fù)調(diào)用2個(gè)矩陣相乘的標(biāo)準(zhǔn)算法（有改進(jìn)的方法，這里不考慮）計(jì)算出矩陣連乘積。若A是一個(gè)p×q矩陣，B是一個(gè)q×r矩陣，則計(jì)算其乘積C=AB的標(biāo)準(zhǔn)算法中，需要進(jìn)行pqr次數(shù)乘。
上傳時(shí)間： 2016-06-18
上傳用戶：hjshhyy
一個(gè)2發(fā)2收的MIMO系統(tǒng)，接收端采用QR檢測(cè)，最后仿出誤碼率和信噪比的曲線。信道在接收端已知。
標(biāo)簽： MIMO
上傳時(shí)間： 2016-06-21
上傳用戶：xinyuzhiqiwuwu
兩份文件，加噪聲和不加噪聲的，加以區(qū)別和比較。VBLST編碼，QR接收。程序附有圖，可以參考。
標(biāo)簽：
上傳時(shí)間： 2013-12-21
上傳用戶：kelimu
美國(guó)標(biāo)準(zhǔn)化組織和馬里蘭大學(xué)共同開發(fā).實(shí)現(xiàn)java matrix包. JAMA由六個(gè)java類組成:Matrix, CholeskyDecomposition , LUDecomposition QRDecomposition SingularValueDecomposition EigenvalueDecomposition . 它提供了廣泛的構(gòu)造函數(shù),豐富的get,set訪問子matrix和元素matrix. 基本的矩陣操作有:矩陣的加,乘,矩陣范數(shù).和提供了方便的打印矩陣的方法. 提供了五個(gè)基本的矩陣分離類.可以通過Matrix類調(diào)用它們來進(jìn)行線性計(jì)算,翻轉(zhuǎn)和其它矩陣方法.
標(biāo)簽： CholeskyDecomposition java LUDecomposition Matrix
上傳時(shí)間： 2014-01-16
上傳用戶：123456wh
hyperbolic Householder transformation的功能類似于Householder transformation，其作用是將被變換向量映射成雙曲模與之相同的其它向量。其應(yīng)用之一是快速Q(mào)R分解。
標(biāo)簽： transformation Householder hyperbolic
上傳時(shí)間： 2014-01-24
上傳用戶：星仔
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
標(biāo)簽： illustrates elimination Gaussian pivoting
上傳時(shí)間： 2016-11-09
上傳用戶：wang5829
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
標(biāo)簽： illustrates elimination Gaussian pivoting
上傳時(shí)間： 2014-01-21
上傳用戶：lxm
全主元高斯約當(dāng)消去法 2.LU分解法 3.追趕法 4.五對(duì)角線性方程組解法 5.線性方程組解的迭代改善 6.范德蒙方程組解法 7.托伯利茲方程組解法 8.奇異值分解 9.線性方程組的共軛梯度法 10.對(duì)稱方程組的喬列斯基分解法 11.矩陣的QR分解 12.松弛迭代法
上傳時(shí)間： 2014-11-22
上傳用戶：wff
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