This library is a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal. The original FORTRAN source code is available at:
This library is a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal. The original FORTRAN source code is available at: http://www.ece.northwestern.edu/~nocedal/lbfgs.html
FFTGUI Demonstration of Finite Fourier Transform.
FFTGUI(y) plots real(y), imag(y), real(fft(y)) and imag(fft(y)).
FFTGUI, without any arguments, uses y = zeros(1,32).
When any point is moved with the mouse, the other plots respond.
Inspired by Java applet by Dave Hale, Stanford Exploration Project,
http://sepwww.stanford.edu/oldsep/hale/FftLab.html
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
Demo Name: Main
Author: Ted Rybicki
Purpose: Sync up systems and workstations clock through firewalls with socks
support. NOTE: You will need to set Name field in IdSocksInfo1 to
your socks server for socks support to work correctly.
History:
Date: 27/10/2002 01:49:13
Checked with Indy version: 9.0
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Notes:
Demonstrates a DateTime client getting current date and time from remote DateTimeServer
A list of time servers is available at:
http://www.eecis.udel.edu/~mills/ntp/servers.html
Simulation is experimentation with models. For system design, research, and edu-
cation, simulations must not only construct and modify many different models but
also store and access a large volume of results. That is practical only with models
programmed on computers [1,2]
