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Rutgers - MS - 501
Lection Notes Monday November 24, 2003 1)Begin with animations of Waves. Note the difference between Deep water and shallow water waves-different dispersion relations. Most interesting is the dispersion relationship for deep water waves-because here
Rutgers - MS - 501
Equatorial currents Typically, the north-south component of the wind, , and its variation with y longitude, x , are negligible compared to the zonal winds. In fact, the very large x-scale compared to y-scale means that x-variations are generally ne
Rutgers - MS - 501
Physical Oceanography Problem due November 20, 2008 1. Give examples of three different processes than can cause vertical mixing in the ocean. 2. What are the typical salinity and temperature of the water mass named Antarctic Bottom Water? What is th
Rutgers - MS - 501
Physical Oceanography Problem Set 3 Due Sep 17, 2008 A parcel of fluid is raised from the middle of layer 2 to 30 meters above the interface between layers 1 and 2, and then released. layer 1, density = 1025layer 2, density = 1030layer 3, density
Rutgers - MS - 501
Physical Oceanography Fall 2008 Problem #6 Due September 29 1) How long will it take a parcel of fluid at rest at point B to move to point A?25 cmA=1028kg/m3B3000 m2) At which depth is the horizontal pressure equal to zero in the figure b
Rutgers - MS - 501
Homework Name_-Due Nov 3rd, 20081) A hurricane at 30o N has wind speeds of 50 m/s that extend 30 km from the eye. a) Draw a schematic of the winds and the resultant surface currents associated with the upper ocean's Ekman response.b) Estimate t
Rutgers - SECTION - 13
Microeconomics, 2nd EditionDavid Besanko and Ronald BraeutigamChapter 1: Analyzing Economic Problems1Microeconomics is the study of the economic behavior of individual economic decision-makers such as consumers, workers, firms or managers. Th
St. Rose - ACADEMIC - 2
import java.io.*;import java.net.InetAddress;import java.net.ServerSocket;import java.net.Socket;import java.util.Date;public class ServerCircleOrString{ public static void main(String[] args) { System.out.println("SERVER STARTE
Rutgers - KIT - 07
Proposed Programs for 2007 (November/December)Theme: Demanding Implementation, Challenging Obstacles: Ending Violence against Women1. South Asia Regional Conference of Women in Media on "Women Building Peace: Sharing Experiences and Challenges" Me
Rutgers - KIT - 07
116 DAS DE ACTIVISMOCONTRA LAVIOLENCIA DE GNERO25 de Noviembre 10 de Diciembre de 2007Participantes (1991-2006)La siguiente es una lista, organizada por regin y pas, de las organizaciones no gubernamentales, grupos donantes, agencias guberna
Rutgers - KIT - 07
16 DAS DE ACTIVISMOCONTRA LA VIOLENCIA DE GNERO el 25 de noviembre el 10 de diciembre 10 de 2007Bibliografa y lista de fuentes de informacin La lista de fuentes que sigue incluye libros, artculos, informes, cajas de herramientas, sitios web y
Rutgers - KIT - 06
SWADHINA Womens Org <swadhina_org@yahoo.com> (by way of CWGL <cwgl@igc.org>)16 Days Action of Against Gender Violence: Swadhina_ (25th November to 10th December 2006) __We are Promised that within the next 10 years:1. Extreme Poverty & Hunger wi
Rutgers - MAE - 465
Project No. 2; Part 2 (Due 4/11/08) Maximum points 5 1. Solve problem 5-7. Use the angle between the Earth's orbital velocity and the position vector of the launch site, = 82 o , V = 10200 m/s and isparallel to the Earth's velocity. This problem i
Rutgers - MFC - 12
Brazilian Real Crisis Revisited: A linear Probability Model to Identify Leading IndicatorsMete Feridun Department of Economics Loughborough University Loughborough United Kingdom E-mail: mete.feridun@lycos.com AbstractThis article aims at identify
Rutgers - LESSON - 14
348788776767443499312436475867483755
Rutgers - BAYES - 02
A Discussion of the Bayesian ApproachReference: Chapter 10 of Theoretical Statistics, Cox and Hinkley, 1974 and Sujit Ghosh's lecture notesDavid Madigan IntroductionClassical approach treats as fixed and draws on a repeated sampling prin
Rutgers - STAT - 211
Measures of PositionSection 26M A R I O F. T R I O L ACopyright 1998, Triola, Elementary Statistics Copyright 1998, Triola, Elementary Statistics Addison Wesley Longman Addison Wesley Longman1Measure of PositionCopyright 1998, Triola, Ele
Rutgers - STAT - 211
For testing a claim about the mean of a single populationAssumptions1) Sample is large (n > 30) a) Central limit theorem applies b) Can use normal distribution 2) Can use sample standard deviation s as estimate for if is unknownCopyright 1998,
Rutgers - STAT - 583
Section 7.5 (p.415) 2. Based on the discussion on p. 399, the confidence interval is c c ( X n - 1 / 2 , X n + 1 / 2 ) n n , where c is a constant such that Pr (c < U < c) = , U has a t distribution with n1 = 7 degrees of freedom. X n = 3.
Rutgers - STAT - 583
Section 7.4 (p.409) ^ Since = X n , it follows from equation (6) that n 1 / 2 1/ 2 1/ 2 ^ ^ Pr( > + k ) = Pr U > kn = Pr(U > ( n - 1) k ) = Pr(U > 4k ) = 0.95 n - 1 where U has a t distribution with n1 = 16 degrees of freedom. Note t
Rutgers - CS - 352
athos% telnet dragon.rutgers.edu 25 Trying 128.6.4.3. Connected to dragon.rutgers.edu. Escape character is '^]'. 220 dragon.rutgers.edu ESMTP CommuniGate Pro 5.0.9 MAIL FROM: <hirsh@dragon.rutgers.edu> 250 hirsh@dragon.rutgers.edu sender accepted RCP
Rutgers - CS - 352
TCP and UDP CS 352Dept. of Computer Science Rutgers UniversityThe Internet Transport Layer The Internet supports two transport layer protocols: The Transport Control Protocol (TCP) for reliable service The Unreliable Datagram Protocol (UDP)UD
Rutgers - BAYES - 02
Nonparametric Bayesian MethodsBorrows from.Tommi Jaakola'shttp:/www.ai.mit.edu/courses/6.867f01/lectures/lecture14.pdfmadigan@stat.rutgers.eduibrahim 21Bayesian Nonparametrics A Dirichlet Process (DP) is a distribution on distributions Su
Rutgers - BAYES - 06
David Madigan notes for "Bayesian Data Analysis"Markov Chain Monte CarloGenerate a sequence of random variables { X 0 , X 1 ,} where at each time t 0 the next state X t +1 is sampled from P( X t +1 | X t ) X 0 X1 X 2 P (. | .) is called the t
Rutgers - BAYES - 02
unNormPosterior <- function(evalPoints,x) { a <- evalPoints[,1]; b <- evalPoints[,2]; n <- length(x); temp.a <- outer(x,a-1,"^"); temp.a <- apply(temp.a, 2, prod) temp.b <- outer(1-x,b-1,"^"); temp.b <- apply(temp.b, 2, prod)
Rutgers - BAYES - 02
sqr <- function(x) { return(x^2); }cofv <- function(x) { return(sqrt(var(x)/mean(x); }p <- 0.5;M <- 30;N <- 1000; # mother data lengthn <- 100; # early sample size (ie size of "D1")ESS <- rep(0,N-n);estimate <- rep(0,N-n);mu0 <- 0; #
Rutgers - DATAMINING - 03
locationfatal86.7344009016.0776858014.9427932027.8987465112.3697161187.1207877028.5394512048.5793605064.2424306050.7782744097.0089674023.775557167.2064171015.984881617.108818012.2686999027.375486204.39115409181.9
Rutgers - STAT - 401
Statistics 401:01Fall 2004Basic Statistics for Research(AlgebraIntensive) Proof of Shifting/ReScaling PropertyOur goal is to verify that if some data set with mean x and standard deviation s is transformed to its set of x -x , the mean of this
Rutgers - STAT - 211
960:211:B7Summer 2004Introductory Statistics IStudy Guide for the MidTerm ExamDATE OF EXAM: TIME OF EXAM: Monday, June 21st, 2004 6:00PM 8:00PMLOCATION OF EXAM: Lucy Stone Hall, Room A137 (our regular room) WHAT TO BRING: Pencils (no pens pl
Rutgers - STAT - 285
STATISTICS 285:B6Assignment #4 [due 07/01/2003]Name: _Directions: Provide complete solutions for each of the following problems. You must show your work in order to receive credit. Please type this assignment, if at all possible. Use this s
St. Rose - ACADEMIC - 2
public class BankAccount{ / data attributes (balance) private double balance; / default constructor public BankAccount() { balance = 0.0; } / getBalance() method public double getBala
Rutgers - CS - 476
Apache Installation_Due in class February 21, 2007.The objective of this task is to understand the implications ofWeb server configuration on HTTP commuincation. Apache 2.2 isused as the case study.You need to install and configure Apache to
Rutgers - HW - 476
<?xml version='1.0' standalone='yes'?><doc><section name="s1"><entry id="s1_1"/><entry>entry s1_2</entry></section><section name="s2"><entry id="s2_1"/><entry>entry s2_2</entry></section><section name="s3"><entry id="s3_1"/><entry id="s3_
Rutgers - ECO - 300
International Trade Theory: The Very Long Run (Ricardian Model) One factor of production (labor) Comparative Advantage and the Gains from Specialization Country Canada DenmarkOutput/person-year Product Autos Beer 3 Autos/person-year 1 Beer/person-y
Rutgers - CS - 205
From rohanf@remus.rutgers.edu Tue Oct 12 16:22:13 2004Date: Tue, 12 Oct 2004 16:21:18 -0400 (EDT)From: ROHAN FERNANDES <rohanf@remus.rutgers.edu>To: ROHAN FERNANDES <rohanf@remus.rutgers.edu>The latest grades (not including the midterm) are avai
Rutgers - ITI - 410
Page Rank Small WebACBDE
Rutgers - WEEK - 410
Page Rank Small WebACBDE
Rutgers - LIGHTAI - 03
Lightseminar: Learned Representation in AIAn Introduction to Locally Linear EmbeddingLawrence K. Saul Sam T. Roweispresented by Chan-Su LeeIntroductionPreprocessing Obtain more useful representation of information Useful for subsequent op
Rutgers - CLADE - 2004
-CLADE 2004-Challenges of Large Applications in Distributed EnvironmentsJune 7th, 2004, Honolulu, HIhttp:/www.caip.rutgers.edu/clade2004/(In conjunction with the 13th International Symposium on HighPerformance Distributed Computing (HPDC 13)
Rutgers - AC - 2004
** Call For Papers International Conference on Autonomic Computing (ICAC-04) http:/www.autonomic-conference.org In conjunction with the 13th International World Wide Web Conference Sher
Rutgers - SEMINAR - 05
Internet Indirection Infrastructure (i3)Ion Stoica Daniel Adkins Shelley Zhuang Scott Shenker Sonesh Surana (Published in SIGCOMM 2002)URL: http:/i3.cs.berkeley.edu/publications/papers/i3-sigcomm.pdf Presented By: Arati Baliga MotivationIn
Rutgers - STAT - 211
960:211:02Spring 2004Introductory Statistics IChapter 1: Data Collection & An Overview of StatisticsStatistics is the science of data. It involves collecting, organizing, summarizing, and analyzing information in order to draw conclusions.
Rutgers - MS - 320
Wind-driven currents and upwelling1Today's lecture has nothing to do with http:/www.theupwelling.comWind-driven currents and upwellingOn timescales longer than a few days: Earth's rotation introduces Coriolis force flow turns to the right (nor
Rutgers - MS - 451
Physical Oceanography, Fall 2004 Problem 1. Due September 8, 2004 Part 1. (a) If f(x, y) = xe2y, what is f(x, y + y)?(b) Write down the expression for (f(x,y+y) - f(x,y)/ y.(c) What does the expression in (b) approach in the limit as y tends towa
Rutgers - PHOTOSHOP - 7
Copyright Rutgers Writing Program Contact Barclay Barrios (barclay.barrios@rutgers.edu)What is Adobe Photoshop 7.0?Photoshop, now up to version 7.0, is the leading professional imageediting program, released by Adobe. Photoshop is useful for bo
Rutgers - CHEM - 327
Lecture 4Operators; Eigenvalues; Eigenfunctions = E scalar (identical)functionoperator function =The Schroedinger Equation is an example of an eigenfunction-eigenvalue equation. ("Given the operator , which functions have the property, that
Rutgers - SJC - 67
Introduction The video game industry has been largely overlooked by the academic world up to this point. Games have been perceived as a frivolous, niche market for young, teenage boys. This is no longer true. With the introduction of 3D graphics and
Rutgers - PDB - 2
[IUCr Home Page] [CIF Home Page] [pdb2cif] - [ ] Concordance of PDB Record Types to mmCIF 1.0.00 version of 30 May 2000 originally released 27 Jan 19
Rutgers - SPEED - 02
Operations ManagementChapter 1 Operations and Productivity 2006 Prentice Hall, Inc.11Outline Global Company Profile: Hard Rock Cafe What is Operations Management? Organizing to Produce Goods and Services Why Study OM? What Operations Man
Rutgers - HEXFM - 1
Datasets available locally on SAM stations (html version: cdf-rutgers.html| Dataset ID | Description | Files(*) | GBytes | Events | Station | Cached(*) | Locked | Taped(*) || cpjj0d | PHOTON_DIJET, Stream C, Production Version 5.3.1, Calib Pass 13
Rutgers - HEXFM - 1
#-DSID z8v2kqBOOK rutgersDSNAME ffA-tautau-tanb50-m90_mult-runs_minbias-overlayGENERATION_MODE 2MC_PROCESS_TCL pythia_A_tautau_50.90_ffa.tclFILTER_TCL mc_postgenNoFi
Rutgers - HEXFM - 1
MASS=200, tanb=100, ggAPythia 6.216 A->tautau, (ISUB 157). 5.3.3 Simulation, minbias ovlay ON.mcProduction tarfile build_v5_3_3_v2SPARTICLE SPECTRUM/SWITCHES May 2002
Rutgers - MMS - 01
John Doe Vs. John Doe. Who wrote it? An application of Bayesian Logistic Regression in natural language classification. Jordanna Chord, Melissa Mitchell, Paul Kantor, Alex Genkin, David Madigan, and David D. Lewis 2005 REU DIMACSFunding and
Rutgers - MMS - 01
<html><title></title><body>#!/usr/bin/perl ## Usage: makeinitlabels NAME < XMLFILE > LABELFILE## NAME should be of the form# LASTNAME_INITIALS# for example:# Josaphat_MP# Xavier_L#
Rutgers - GC - 2000
Nigerian States MapDelta Region's States and Ethnic GroupsNigerian Oil Fields in the Delta RegionEcology of the Nigeria's Delta Region
Rutgers - GC - 2000
Children's Rights Teacher Discussion Guide Directions: The following questions are to act as a guide for a culminating activity and assessment for understanding of material. To begin discussion, the teacher should focus on general web-site/computer r
Rutgers - CHAP - 588
Score Function for Data Mining AlgorithmsBased on Chapter 7 of Hand, Manilla, & Smyth David Madigan Introductione.g. how to pick the "best" a and b in Y = aX + b usual score in this case is the sum of squared errors Scores for patterns vers
Rutgers - BAYES - 06
Standard Multiparameter ModelsChapter 3 of Gelman et al. (and Lecture Notes by Kate Cowles and Francesca Dominici)p75 in 2nd editionScaled-Inverse Chi-Square density (n-1,s2)rdirichlet <- function(n,p) { myMatrix <- matrix(NA,n,length(p) for
Rutgers - CS - 170
Java Script Lecture 5- last assignment (use free late) - this week's assignment - review chapter 18 - functionsFunction :"Packages for algorithms" Name Parameters Definition Also known as, procedures, subroutine, method etcfunction name (para
Rutgers - ST - 2
Internet Stream Protocol V2 (st2)- Charter Current status: active working group Chair(s): Luca Delgrossi <luca@ibmpa.awdpa.ibm.com> Steve DeJarnett <steve@ibmpa.awdpa.ibm.com> Internet Area Director(s) Stev Knowles <
Rutgers - STAT - 211
960:211:B7Summer 2004Introductory Statistics IChapter 1: An Overview of StatisticsStatistics is the science of data. It involves collecting, organizing, summarizing, and analyzing information in order to draw conclusions. However, as we wil