This GUI can be used by entering nu at the MATLAB command Prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.
Introduction
Some times it is required that we build a shared library (DLL) from an m-file. M-files are functions that are written in Matlab editor and can be used from Matlab command Prompt. In m-files, we employ Matlab built-in functions or toolbox functions to compute something. In my past articles, I showed you some ways to use Matlab engine (vis. API, C++ class or Matlab engine API) for employing Matlab built-in functions, but what about functions that we develop? How can we use them in VC? Is there any interface? This article shows you an idea to employ your own Matlab functions.
aDABOOST
This package contains the following files:
learner.jar - is a platform independent java package. In order to run it on windows/linux
open the command Prompt/shell and type the command "java -jar learner.jar".
Make sure the java installation path is set in the system enviroment.
learner.exe - A windows executable version of the application. Doubleclick to run.
learner.pdf - The digital version of the report.
SRC\ - The source code of the program is in this directory
This manual describes how to run the Matlab® Artificial Immune Systems tutorial presentation developed by Leandro de Castro and Fernando Von Zuben. The program files can be downloaded from the following FTP address: ftp://ftp.dca.fee.unicamp.br/pub/docs/vonzuben/lnunes/demo.zip
The tour is self-guided and can be performed in any order.
To run the presentation, first uncompress the zipped archive and store it in an appropriate directory. Run the Matlab® , enter the selected directory, and type “tutorial” in the Prompt.
Under the labor sentiment monitor system has several parts of compositions: The mobile termination software and hardware development, the central server software development as well as opens video frequency the Prompt reflection. The labor sentiment monitor end is responsible for the data and the scene picture which
simple ATM [Automatic Teller Machine] system the basic functions Login including write-offs, inquiries, deposits, withdrawals and alter the code. Simulation of ATM terminal users logged in, their account numbers and passwords through the ATM network to transmit to the server, ATM database server based on the information to confirm the account number and password is correct, the results back to the ATM terminal. If the correct account number and password, the ATM into the next terminal interface Otherwise Prompt mistakes. Cancellation notice for the operation of the server ATM transactions concluded inquiries, deposits, withdrawals and alter the code operations are first sent an order to ATM servers, ATM by the database server implementation of the corresponding operation and operating res
program which uses hashing techniques for storing and retrieving the data.
Input to the program: Some random numbers. Input will be from a file.
Output: First the program reads all the input and store it properly using some hash techniques.
Once your program reads the complete input,it waits for the user input (Prompt to the user).
User now enters some number.program displays if this number exists in the list or not.
it also display the time taken in the search operation.
This sample program generates two sine waves called X and Y.
It will then calculate the normalized magnitude and phase of
the two waveforms using the following formulas:
Mag = sqrt(X^2 + Y^2)/sqrt(GainX^2 + GainY^2)
Phase = (long) (atan2PU(X,Y) * 360)
The program will Prompt the user to change the gain and
frequency of the X and Y waveforms.
