3
Delay Models
in Data Networks
3.1 INTRODUCTION
One of the most important perfonnance measures of a data network is the average delay
required to deliver a packet from origin to destination. Furthennore, delay considerations
strongly influence the choice
INSTRUCTORS MANUAL TO ACCOMPANY
ALPHA (incomplete) VERSION DATED: August 28, 2001
Database System Concepts
Fourth Edition
Abraham Silberschatz
Bell Laboratories
Henry F. Korth
Bell Laboratories
S. Sudarshan
Indian Institute of Technology, Bombay
Copyright
Plotting in Matlab
Page 1
Basics of Plotting in Matlab
GSF 3/22/12
Table of Contents
Basic Overview
o Syntax
o Labeling Axes
o Legends
Manipulating Axes
Subplots
Multiple Y-Axes
Statistics
3-D plots
Additional Resources
Basic Overview
To use the plot func
EEL 703(Computer Networks) Tutorial Sheet No.1
1. We consider a buer that receives messages to be sent. The transmission is made by means of two modern
lines that operate at the same speed. We know that:
(a) The message arrival process is Poisson process
Learning curves for stochastic gradient descent
in linear feedforward networks
Justin Werfel
Dept. of EECS
MIT
Cambridge, MA 02139
jkwerfel@mit.edu
Xiaohui Xie
Dept. of Molecular Biology
Princeton University
Princeton, NJ 08544
xhx@princeton.edu
H. Sebast
The
Interpolating
Polynomial
Math 45 Linear Algebra
David Arnold
David-Arnold@Eureka.redwoods.cc.ca.us
Abstract
A polynomial that passes through a given set of data points is called an
interpolating polynomial. In this exercise you will use Matlab to nd t
Chapter 3
Interpolation
Interpolation is the process of dening a function that takes on specied values at
specied points. This chapter concentrates on two closely related interpolants: the
piecewise cubic spline and the shape-preserving piecewise cubic na
Chapter 5
Process and Thread
Scheduling
One of the major tasks performed by an operating system is to allocate ready
processes or threads to the available processors. This task may usefully be
divided into two parts. The rst part, referred to as process s
AppendixB:AnExampleof
Backpropagationalgorithm
November 2011
1
Figure 1: An example of a multilayer feed-forward neural network. Assume
that the learning rate is 0.9 and the first training example, X = (1,0,1) whose
class label is 1.
Note: The sigmoid fun
Installation Procedure for MATLAB Software
Redundant clients- LINUX/MAC systems:
Get administrator privileges for the system on which you plan to install
MATLAB.
Download:
MAC.iso (for mac) and LINUX.iso (for LINUX)
PLP
License.dat from http:/repo.iit
Chapter12:IndexingandHashing
Rev.Sep17,2008
DatabaseSystemConcepts,5thEd.
Silberschatz,KorthandSudarshan
Seewww.dbbook.comforconditionsonreuse
Chapter12:IndexingandHashing
s BasicConcepts
s OrderedIndices
s B+TreeIndexFiles
s BTreeIndexFiles
s StaticHashi
Artificial Neural Network
Lecture Module 22
Neural Networks
Artificial neural network (ANN) is a machine learning
approach that models human brain and consists of a
number of artificial neurons.
Neuron in ANNs tend to have fewer connections than
biologic
3. The Back Propagation Algorithm
Having established the basis of neural nets in the previous chapters, lets now have a
look at some practical networks, their applications and how they are trained.
Many hundreds of Neural Network types have been proposed
Neural Network Models of Categorical Perception
R.I. Damper and S.R. Harnad
University of Southampton
Studies of the categorical perception (CP) of sensory continua have a long and rich history in
psychophysics. In 1977, Macmillan et al. introduced the us
Huffman Coding
Vida Movahedi
October 2006
Contents
A simple example
Definitions
Huffman Coding Algorithm
Image Compression
A simple example
Suppose we have a message consisting of 5 symbols,
e.g. []
How can we code this message using 0/1 so the coded
me
Operating Systems -1
EEL602: Operating Systems
http:/www.cse.iitd.ac.in/sumantra/courses/os/os.html
General Information
No one shall be permitted to audit the course. People are welcome to sit through it,
however. The course is open to all suitably inclin
Feb 4: Recap of Jan 30 class
Data Models: E-R and Relational (and some others of
mostly historical interest)
We examined the E-R model
Entities, Relationships, and Attributes
Diagram-based model
Talked about Keys
Some special cases for the E-R model
ARTIFICIAL NEURAL NETWORKS
GIRISH KUMAR JHA
Indian Agricultural Research Institute
PUSA, New Delhi-110 012
girish_iasri@rediffmail.com
1. Introduction
Artificial Neural Networks (ANNs) are non-linear mapping structures based on the
function of the human b
Chapter A: Network Model
s Basic Concepts s Data-Structure Diagrams s The DBTG CODASYL Model s DBTG Data-Retrieval Facility s DBTG Update Facility s DBTG Set-Processing Facility s Mapping of Networks to Files
Database System Concepts, 5th Ed.
A.1
Silbersc
480
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. COM-30, NO. 3 , MARCH 1982
An Improved Selective-Repeat ARQ Strategy
E. J. WELDON, JR.,
M EMBER, IEEE
tocols like SDLC [13] and ADCCP [ 141 employ the goback-N
strategy; its performance is substantially better
MAL704: Test Functions For 1-Dimension Minimization
1. f (x) = sin3 x + sin5 x + sin7 x sin 9x, x [, ].
(Ans: x = 1.27)
1
x4
+
, x [1, 1]. (Ans: x = 1)
1 + x2 1 + x8
()
0.75
1 1
0.65 tan
, x [2, 2].
3. f (x) = 0.65
1 + x2
x
(Ans: x = 0, we have disconti
Compression Algorithms
An Introduction To Probability
Coding
Compression Outline
Introduction
Information
Theory
Probability Coding
Applications Of Probability Coding
Resources
Introduction
What
is data compression ?
Removing useless
Removing low val
Math 436
Fall 2008
November 5
Polynomials in MATLAB
1
Polynomial Evaluation
A polynomial is completely known by its coecients! For example the polynomial
p(x) = x3 3x2 + 1
has coecients, beginning with the largest power, a1 = 1, a2 = 3, a3 = 0 and a4 = 1.
Installation Procedure for MATLAB Software
Redundant clients-Windows XP-SP3/Vista/Windows 7/Windows 8
Download:
win32.rar or win64.rar (for 64 bit system)
PLP
"license.dat" from http:/mirror.iitd.ernet.in/matlab into Your Desired Folder.
STEPS: Install
Huffman Coding
Huffman Coding
Huffman codes can be used to compress
information
Like WinZip although WinZip doesnt use the
Huffman algorithm
JPEGs do use Huffman as part of their compression
process
The basic idea is that instead of storing each
chara