The module LSQ is for unconstrained LinEar least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
標(biāo)簽： least-squares unconstrained Statisti Applied
上傳時(shí)間： 2015-05-14
上傳用戶：aig85
Jama includes matrix operator class... and LinEar Algebra... it s cool
標(biāo)簽： includes operator Algebra matrix
上傳時(shí)間： 2015-05-21
上傳用戶：zhangzhenyu
這是我從網(wǎng)上下載到的Locally LinEar Embedding(LLE)的Matlab代碼，希望對(duì)研究Manifold Leanring的同事有所幫助。
標(biāo)簽： Embedding Locally LinEar Matlab
上傳時(shí)間： 2014-01-24
上傳用戶：nanfeicui
This OpenNL, a library to easily construct and solve sparse LinEar systems. * OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradient,BICGSTAB, GMRes) and preconditioners (Jacobi, SSOR). * OpenNL can also use other solvers (SuperLU 3.0 is supported as an OpenNL extension,MUMPS will be supported in a future version)
標(biāo)簽： OpenNL construct supplied library
上傳時(shí)間： 2014-01-07
上傳用戶：semi1981
G711 u-law, A-law and LinEar PCM conversions Programm.
標(biāo)簽： conversions Programm LinEar A-law
上傳時(shí)間： 2014-12-02
上傳用戶：wangdean1101
Math.NET開(kāi)源數(shù)學(xué)庫(kù) C#實(shí)現(xiàn) 具體功能: - A LinEar algebra package, see MathNet.Numerics.LinEarAlgebra. - A sparse LinEar algebra package, see MathNet.Numerics.LinEarAlgebra.Sparse. - Non-uniform random generators, see MathNet.Numerics.Generators. - Distribution fonctions, see MathNet.Numerics.Distributions. - Statistical accumulator, see MathNet.Numerics.Statistics. - Fourier transformations, see MathNet.Numerics.Transformations. - Miscellaneous utilies (polynomials, rationals, collections).
標(biāo)簽： LinEarAlgebra Numerics MathNet algebra
上傳時(shí)間： 2015-07-24
上傳用戶：思琦琦
這是不錯(cuò)的LP algorithm(LinEar programe) 內(nèi)容我測(cè)試過(guò)，效能不錯(cuò)
標(biāo)簽： algorithm programe LinEar 測(cè)試
上傳時(shí)間： 2015-08-21
上傳用戶：JIUSHICHEN
主要包括Dolph-Chebyshev LinEar Array 和Taylor Line Source Method的原理和仿真
標(biāo)簽： Dolph-Chebyshev LinEar Taylor Source
上傳時(shí)間： 2014-02-01
上傳用戶：Pzj
video editing for is streamlined for fast LinEar operations over video. It has batch-processing capabilities for processing large numbers of files and can be extended with third-party video filters. VirtualDub is mainly geared toward processing AVI files, although it can read (not write) MPEG-1 and also handle sets of BMP images.
標(biāo)簽： video batch-processing streamlined operations
上傳時(shí)間： 2014-01-06
上傳用戶：fhzm5658
正交線性判別分析（Orthogonal LinEar Discriminant Analysis），可以用于數(shù)據(jù)降維上面。
標(biāo)簽： Discriminant Orthogonal Analysis LinEar
上傳時(shí)間： 2015-09-22
上傳用戶：caixiaoxu26
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