Matrix Algebra In C

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Eigen 3.1.0-ALPHA2 release C + + Template library for linear algebra

Eigen is a c++++ template Library of linear algebra containing vectors, matrices, and related algorithms. Its features are multi-functional, fast, elegant, can run on multiple platforms. Eigen 3.1.0-ALPHA2 The main change in this version is the operation of Intel MKL (or other external Blas libraries). These fully optional back ends can be enabled by compiling with some preprocessing directives. This release also adds support for the Intel MKL Pardiso Direct Sparse solution, and provides improved performance for small matrices-matrix products, ranking upgrades/d ...

LAPACK 3.4.0 release linear algebra Library

Lapack is a linear algebraic library based on Linpack and Eispack, designed to provide conventional processing of simultaneous equations and efficient matrix algebra, especially for shared memory vector, parallel processors, and clusters. The code is written in http://www.aliyun.com/zixun/aggregation/29818.html ">fortran Language and Blas (Basic linear Algebra subroutine) library. LAPACK 3.4.0 This version adds XGEQR ...

Armadillo C + + library 2.2.1 Publishing C + + linear algebra Library

Armadillo is a c++++ linear algebraic library (matrix mathematics) with balanced speed and ease of use for all operating platforms, including Linux, Mac OS X, and Windows. Its function is to support integers, floating-point numbers, and complex digits, as well as subsets of trigonometric functions and statistics, to provide a variety of matrix decomposition through the integration of optional lapack and Atlas libraries. The deferred evaluation method is based on template metaprogramming, which is used to combine several operations at compile time into one and reduce or eliminate the need for temporary variables. Armadi ...

The birth of Julia for parallel processing and cloud computing

Why create a Julia programming language? In a word, because we thirst for knowledge, constant pursuit. We have the core users of MATLAB, there are good at Lisp hackers, Pythonistas and rubyists experts also have a lot; In addition, there are some Perl Daniel, some developers used Mathematica before we had a little understanding of the fur. In other words, they understand more than just the fur, more than others, the development of R language. and C language for us is a deserted island. I ...

The birth of Julia for parallel processing and cloud computing

Introduction: This article explores the development of the Julia Language and its new features. The author thinks that the birth of a new language is bound to set off a new whirlwind, developers in the enjoyment of it to bring fun while also arguing for its existence value, whether Julia can bring new gospel to developers? Let's go into it together: Why create the Julia programming language? In a word, because we thirst for knowledge, constant pursuit. We have the core users of MATLAB, there are good at Lisp hackers, Pythonistas and Ru ...

Linear Algebra - Column Space, Zero Space

The column space of the matrix and the zero-space column space are concerned with the set b that makes Ax = b. Zero-space concerns the value of x when b is a zero vector. For example: column space A is as follows ??? ?? 123411112345 ????? Because A is a three-dimensional vector, it is impossible to cover all the four-dimensional space, so for Ax = b this formula, there will be b does not exist, we want to find is b When does it exist? According to the general thinking, first study b is a zero vector, this time Ax = b is definitely established. except...

R language for Hadoop injection of statistical blood

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

Recommended! The machine learning resources compiled by foreign programmers

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

How do I make Hadoop a big data analysis with R language?

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective.   The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

Machine learning and application scenarios under the trend of big data

Machine learning is a science of artificial intelligence that can be studied by computer algorithms that are automatically improved by experience. Machine learning is a multidisciplinary field that involves computers, informatics, mathematics, statistics, neuroscience, and more.

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