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The RT9005A/B is a dual-output Linear regulator for DDR-SDRAM VDDQ supply and termination voltage VTT supply.

基本矩阵运算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of cofactor, adjoint, inverse, gauss, gaussjordan, linear transformation, LU decomposition , Gram-Schmidt process, similarity. b) Basic vectors functions : norm, distance, innerproduct,coldim, rowdim ...

OFELI is an object oriented library of C++ classes for development of finite element codes. Its main features are : * Various storage schemes of matrices (dense, sparse, skyline). * Direct methods of solution of linear systems of equations as well as various combinations of iterative solvers and pre ...

Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous ...

This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. The example shows how one can use the utility to estamate the parameters of a simple linear discrete time system.

Addressbook using double-linked list. This example shows the use of a double-linked list by implementing an addressbook for the console. It has features like inserting, searching(linear), sorting(bubble sort), deleting and load/save to a file. I wrote this during my study of Applied Computer Science ...

Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with th ...

亚惠快餐管理信息系统 包括亚惠快餐管理的各项功能，含BI分析

自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADA ...

matlab NumMFs = 2 MF1= in3mf1 : gbellmf ,[3 2 -3 0] MF2= in3mf2 : gbellmf ,[3 2 3 0] [Input4] Name = in4 Range = [-3 3] NumMFs = 2 MF1= in4mf1 : gbellmf ,[3 2 -3 0] MF2= in4mf2 : gbellmf ,[3 2 3 0] [Output1] Name = out Range = [-10 10] NumMFs = 16 MF1= outmf1 : linear ,[41.3729301501 10.02975573 ...