matlab 数值算法工具箱 NAG toolbox

用了那么长的matlab，似乎很少听人提到过NAG toolbox ，今天用了，别有一番感受。

所谓NAG，就是 Numerical Algorithms Group 。http://www.nag.co.uk/

   The Numerical Algorithms Group (NAG) specializes in the provision ofsoftware for the solution of mathematical, statistical and data miningproblems. These components, together with the visualization softwareand additional services that NAG offers, are used by companies andinstitutions in a diverse range of industries spanning the globe. Theyuse them to enrich their applications developed to solve problems indisciplines such as financial analysis, science and engineering and inthe fields of education and academia.

   NAG was founded in 1970 as a collaborative venture combining thetalents of many globally renowned mathematicians. In 1971 NAG developedthe first mathematical software library, which, over the next threedecades, has evolved to become what it is today, the largestcommercially available collection of high quality mathematical andstatistical algorithms.

NAG数值算法库原来是用fortran写成的，但经过了30多年的发展已经可以在很多语言环境下调用，实际上，已经有了C语言版本和matlab NAG toolbox 。

C#/.NET
Excel
Java
Labview
Maple MATLAB
R
Python
Visual Basic

在这里，我下载了matlab NAG toolbox ( win32的)，地址 here (43.9 MB). 安装后在help文档里的截图如下：

具体内容：

# A00 – Library Identification
# A02 – Complex Arithmetic
# C02 – Zeros of Polynomials
# C05 – Roots of One or More Transcendental Equations
# C06 – Summation of Series
# D01 – Quadrature
# D02 – Ordinary Differential EquationsIntegrators for Stiff Ordinary Differential Systems
# D03 – Partial Differential Equations
# D04 – Numerical Differentiation
# D05 – Integral Equations
# D06 – Mesh Generation
# E01 – Interpolation
# E02 – Curve and Surface Fitting
# E04 – Minimizing or Maximizing a Function
# F – Linear Algebra
# F01 – Matrix Operations, Including Inversion
# F02 – Eigenvalues and Eigenvectors
# F03 – Determinants
# F04 – Simultaneous Linear Equations
# F05 – Orthogonalisation
# F07 – Linear Equations (LAPACK)
# F08 – Least-squares and Eigenvalue Problems (LAPACK)
# F11 – Large Scale Linear Systems
# F12 – Large Scale Eigenproblems
# G01 – Simple Calculations on Statistical Data
# G02 – Correlation and Regression Analysis
# G03 – Multivariate Methods
# G04 – Analysis of Variance
# G05 – Random Number Generators
# G07 – Univariate Estimation
# G08 – Nonparametric Statistics
# G10 – Smoothing in Statistics
# G11 – Contingency Table Analysis
# G12 – Survival Analysis
# G13 – Time Series Analysis
# H – Operations Research
# M01 – Sorting
# S – Approximations of Special Functions
# X01 – Mathematical Constants
# X02 – Machine Constants
# X03 – Inner Products
# X04 – Input/Output Utilities
# X05 – Date and Time Utilities