看n2實例 #Create a simulator object
set ns [new Simulator]
#Define different colors for data flows
#$ns color 1 Blue
#$ns color 2 Red
#Open the nam trace file
set nf [open out-1.nam w]
$ns namtrace-all $nf
set f0 [open out0.tr w]
set f1 [open out1.tr w]
#Define a finish procedure
proc finish {} {
global ns nf
$ns flush-trace
#Close the trace file
close $nf
#Execute nam on the trace file
exit 0
}
#Create four nodes
set n0 [$ns node]
set n1 [$ns node]
set n2 [$ns node]
set n3 [$ns node]
#Create links between the nodes
$ns duplex-link $n0 $n2 1Mb 10ms
The download includes the kernel source code, and a demo application for EVERY
RTOS port. See http://www.freertos.org/a00017.html for full details of the
directory structure and information on locating the files you require.
The easiest way to use FreeRTOS is start start with one of the demo application
projects. Once this is running the project can be modified to include your own
source files. This way the correct files and compiler options will be
automatically included in your application.
+ The Source directory contains the real time kernel source files for every
port. The kernel itself is only 3 files.
+ The Demo directory contains the demo application source files for every
port.
+ The TraceCon directory contains the trace visualisation exe file.
See the readme files in the respective directories for further information.
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std(b_j), obtained by jackknifing. The cutoff level, below which c_j is considered to be too small, indicating that the variable j should be removed, is estimated using a matrix of random variables.The predictive power of PLS models built on the retained variables only is evaluated over all 1-a dimensions =(yielding RMSECVnew).
數(shù)值計算牛頓迭代法的matlab源程序
說明如下：
％fun----input,the part as the form of f(x) in the equation f(x)=0
％ ini----input,sets the starting point to ini
％ err----input,sets admissible error
％ sol----output,returns the root of equation
Mapack可用來做矩陣運算
Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.
There are three ways of specifying an immediate dump
Immediate dumps can be specified using the ALTER SESSION command
ALTER SESSION SET EVENTS
immediate trace name dump level level
Immediate dumps can be specified in ORADEBUG
ORADEBUG DUMP dump level
