Course Hero has millions of student submitted documents similar to the one

below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

10.3: Section Solving First-Order Linear Dierential Equations: Integration Factors
A rst order linear dierential equation is a dierential equation of the form y + a(t)y = b(t)
1
Example
Solve the dierential equation y + ty = 0
2
Solution
In this case we can use the method of separation of variables. If y ...

**Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.**

Below is a small sample set of documents:

Berkeley - M - 16

Math 16A (Autumn 2005)Thomas ScanlonUniversity of California, BerkeleyWeek 10Thomas Scanlon Math 16A (Autumn 2005)University of California, BerkeleyDierential equation for exponential functionsFact Fix a real number k. y = f (t) is a solu

Berkeley - M - 16

MATH 16B, SPRING 2004 PRACTICE FOR THE FINAL EXAMThere are more questions listed here than you will actually see on the nal. The general distribution of the questions accurately reects the topics to be covered. 1. Find the point (x, y, z) which max

Berkeley - M - 16

Numerical Solutions of Dierential Equations A dierential equation y = f (y, t) may be approximated as a dierence equation. If t 0, theny(a + t) y(a) + y (a)t = y(a) + f (y(a), a)t1Eulers MethodIterating the approximation y(a + t) y(a) + f (

Berkeley - M - 16

Section 9.6: Improper integralsWe have considered only integrals of the form a f (x)dx where a b are real numbers and f is a function which is dened and continuous on the interval [a, b] := {x | a x b}. Sometimes, it makes sense to consider integ

Berkeley - M - 113

MATH 113: INTRODUCTION TO ABSTRACT ALGEBRA AUTUMN 2007 FINAL EXAM PRACTICE PROBLEMS1. Let be a complex number satisfying the equation 3 3 + 1 = 0. C Compute [Q( 5, ) : Q]. 2. Prove or disprove: If K is an extension eld of Q and [K : Q] < , then

Berkeley - M - 113

MATH 113: ABSTRACT ALGEBRA (AUTUMN 2007) MIDTERM # 2 SOLUTIONS1. (10 points) Compute 58,238,390,323 in Z33 . Solution: 33 = 3 11. Hence, Z33 Z2 Z11 so that Z Z Z which = 33 = 3 11 has (3 1) (11 1) = 20 elements. Dividing, we see that the re

Berkeley - SWW - 2008

Measuring, Understanding, and Using Flows and Electric Fields in the Solar Atmosphere to Improve Space Weather PredictionGeorge H. Fisher Space Sciences Laboratory UC BerkeleyElectric fields and flows in the solar atmosphere: Why should we care?

Berkeley - SPD - 2008

A New Technique for Deriving Electric Fields from Sequences of Vector MagnetogramsGeorge H. Fisher Brian T. Welsch William P. Abbett David J. BercikSpace Sciences Laboratory, UC Berkeley1Electric fields on the solar surface determine the flux of

Berkeley - PHIL - 133

1 SENSORIMOTOR KNOWLEDGE AND NAVE REALISM BY JOHN CAMPBELLIt is a pleasure to be commenting on Alva Nos Action in Perception. The book is easy to read, stylish, and sweeps through a fresh set of ideas on a fundamental topic. It seems to me that the

Berkeley - MCB - 06

MCB 11 Spring 2006Problem Set 2February 17, 2006 M. D. Alper1. What characteristic of oxygen leads to the capability of water to dissolve charged and ionic materials? Discuss in terms of energy considerations and the various aspects of those co

Berkeley - MCB - 140

Problem set 6 1. You find a mouse with no tail. In order to determine whether this mouse carries a new mutation, you cross it to a normal mouse. All the F1 progeny of this cross are wild type. What does this mean? You then mate all the F1 males to th

Berkeley - MCB - 140

1. Backcrossing is an important strategy in agriculture for introducing a new locus into the genome of an otherwise desirable strain. In the rice example in lecture, the authors introduced the submergence tolerance locus from a tolerant strain T into

Berkeley - MATH - 128

Angle subtended at the eye by neighboring starsSpherical polar coordinates {R, H, A} convert to Cartesian (X, Y, Z) :W. KahanR = radius, H = angle of Elevation above horizon, A = angle of Azimuth from compass North. R > 0 , -/2 H /2 , - A .

Berkeley - CS - 262

Advanced Topics in Computer Systems, CS262A Prof. Eric BrewerLottery Scheduling Scheduler ActivationsI. Lottery SchedulingVery general, proportional-share scheduling algorithm. Problems with traditional schedulers:o Priority systems are ad hoc

Berkeley - CS - 261

Software VulnerabilitiesLecture Notesby Matthias Vallentin September 4, 20081 Access Control Matrix (ACL)pid 123 pid 123 pid 124 pid 125 Table 1: Samle ACL Rows: subjects (active entities, take actions) Columns: subjects & objects (passive ent

Berkeley - CS - 261

Software Based ProtectionLecture Notes 9/30 Jon Whiteaker 1. Language support for privilege separation No need for multiple processes, everything can run within the same vm Paper didn't show the performance breakdown for slow privilege separation

Berkeley - CS - 261

Fall 2007 CS 261/294 Project Proposal Identication of Sensitive Information John Bethencourt Motivation and GoalsThe goal of our project is to design and implement a system for identication of sensitive information within the persistent state of a u

Berkeley - CS - 261

Attacking SystemsBeyond Stack Smashing: Recent Advances in Exploiting Buffer OverrunsThis article describes three powerful general-purpose families of exploits for buffer overruns: arc injection, pointer subterfuge, and heap smashing. These new te

Berkeley - MATH - 128

Math. 128 BProf. W. Kahan128 Squares of 128 Square RootsDene a oating-point-valued function F(X) for nonnegative oating-point arguments X thus: Y := X ; F := (Y2)2)2)2)2 . 128 square roots 128 squares.This computation commits 256 rounding e

Berkeley - CS - 294

CS224N: Introduction to Syntax We want to know how meaning is mapped onto what language structures. Commonly in English in ways like this: [Thing The dog] is [Place in the garden] [Thing The dog] is [Property fierce] [Action [Thing The dog] is chasin

Berkeley - CS - 294

cs294: Statistical Natural Language ProcessingAssignment 3: Part-of-Speech TaggingDue: Feb 28th In this assignment, you will build the important components of a part-of-speech tagger, including a local scoring model and a decoder. Setup: The data

Berkeley - CS - 294

cs294: Statistical Natural Language ProcessingAssignment 5: Treebank ParsingDue: April 16th In this assignment, you will build an English treebank parser. You will consider both the problem of learning a grammar from a treebank and the problem of

Berkeley - CS - 294

cs294: Statistical Natural Language ProcessingAssignment 3: Part-of-Speech TaggingDue: March 7th In this assignment, you will build the important components of a part-of-speech tagger, including a local scoring model and a decoder. Setup: The data

Berkeley - UGBA - 100

Pronunciation Guideugba-100, David RobinsonRightly or wrongly, English has become the de facto language of business. Throughout the world, college students work hard to become fluent in English. However, there are many different varieties of spo

Berkeley - IB - 200

Integrative Biology 200A PRINCIPLES OF PHYLOGENETICSUniversity of California, Berkeley Spring 2008Lab 11: MrBayes LabIntroduction MrBayes uses a Markov Chain Monte Carlo (MCMC) approach to search for trees. There are two phases in an MCMC. The f

Berkeley - IB - 200

Integrative Biology 200A "PRINCIPLES OF PHYLOGENETICS"University of California, Berkeley Spring 2006Distance MethodsDue at the end of class: - Distance matrices and trees for two different distance measures - Tree from one extra distance-based t

Berkeley - BIO - 1

Safety Guidelines for Field ResearchOffice of Environment, Health & Safety University of California, BerkeleyEmergency Phone ListFill in the information for the area where you will be working.Ambulance: _Sheriff: __Police: _Hospital: _

Berkeley - IB - 146

Name _ IB 146 Behavioral Ecology FIRST MIDTERM EXAM (6 pages, 100 points) General instructions: Answer each question as directed. Please make answers clear and concise. Full sentences are not required, but make sure that your answers are complete en

Berkeley - IB - 160

spring bookseach synaesthetics list of associations is idiosyncratic, with no discernible commonalities even among identical twins. But any one persons associations remain very stable over time. This is the basis of the now-standard test for genuine

Berkeley - IB - 200

Integrative Biology 200A Principals of PhylogeneticsUniversity of California, Berkeley Spring 2008Molecular Clocks and Tree DatingToday we are going to use several different methods of testing the molecular clock and estimating node times. We wi

Berkeley - IB - 200

IB 200A "Principles of Phylogenetics"Spring 2008Concatenating Data Sets and Running AnalysesConcatenating Molecular Data Sets Mesquite can concatenate molecular data sets. It is also possible to concatenate molecular and morphological data matri

Berkeley - IB - 133

IB 133: Teaching GuidelinesChecklist for Developing Your Presentation: Design hands-on activities (No lectures!). Your GSI can help. Plan minds-on discussions. Remember your audience. Kids are curious and enjoy learning about themselves. Encour

Berkeley - IB - 153

IB 153L GENERAL PRINCIPLES OF SAMPLING 1) What is a sample? A subset of a population is called a sample of that population. 2) Why sample? a) Limitations of time and money make it unrealistic to observe all elements of many populations. b) If measure

UCF - ECO - 7426

1BUEC2570 INTRODUCTION TO ECONOMETRICS LIMDEP DOCUMENT TABLE OF CONTENTS (1) A Step-by-Step Guide to Accessing and Using LIMDEP: Pages 2-14. (2) Short Explanation, With Examples of the Key LIMDEP COMMANDS for BUEC2570: Pages 15-18 (3) Basic LIMDEP

Berkeley - BOOK - 3

Rice-15149bookMarch 10, 200616:21144Chapter 4Expected ValuesMinimizing this with respect to gives the optimal portfolio opt =2 2 2 2 1 + 2For example, if the investments are equally risky, 1 = 2 = , then = 1/2, so the best strate

Berkeley - STAT - 2

Practice midterm Stat 2, summer 2008 60 minutes There are TWENTY questions, which tend to get harder as you go along. A researcher believes cupcakes make people fall asleep. At noon, he feeds cupcakes to a random sample of cupcake-eaters until they a

Berkeley - STAT - 153

STAT 153 Assignment 2 solutions1. (a) MSE(A) = E(x2 2Axt + A2 x2 ) t+l t+l t = Ex2 2AExt + A2 Ex2 t+1 t+l t = (0) 2A(l) + A2 (0)MSE(A) is minimised when 2l MSE(A) = A2 2(l) + 2A(0) = 0 E A = 0(l) (0) = (l)(b) Substituting A = (l)/(0) gives

Berkeley - CS - 252

CS252 Graduate Computer ArchitectureMotivation: Who Cares About I/O? CPU Performance: 60% per year I/O system performance limited by mechanical delays (disk I/O) Amdahl's Law: system speed-up limited by the slowest part!< 10% per year (IO per s

Berkeley - E - 218

Do Consumers Know Their Willingness to Pay? Evidence from eBay AuctionsHanh Ahlee Stanford University yolee@stanford.edu Ulrike Malmendier Stanford University ulrikem@stanford.eduOctober 2, 2005 VERY PRELIMINARYAbstract According to standard eco

Berkeley - E - 251

Do Disappointing Pay Raises Lower Productivity? Final-Offer Arbitration and the Performance of New Jersey Police Officers*Abstract This paper studies whether on-the-job performance of labor market participants responds to changes in relative compen

Berkeley - E - 234

Econ 234C Corporate Finance Lecture 12: Corporate GovernanceUlrike Malmendier UC BerkeleyMay 1, 2007Outline1. Organization 2. Homework 3 3. Corporate Governance and Executive Compensation Monitoring of Managers (Townsend 1979) Other Topics

UCF - MAR - 7638

Academy of Management Journal 2004, Vol. 47, No. 4, 501522.KNOWLEDGE TRANSFER THROUGH INHERITANCE: SPINOUT GENERATION, DEVELOPMENT, AND SURVIVALRAJSHREE AGARWAL University of Illinois at Urbana Champaign RAJ ECHAMBADI University of Central Florida

UCF - CAP - 5415

Announcements PS 2 is available Please read it by Thursday During Thursday lecture, I will be going over it in some detail Monday - Computer Vision Distinguished Lecturer seriesLecture 7: Edge DetectionCAP 5415: Computer Vision Fall 2007Edge

UCF - EGN - 3420

Su 95 EGN 3420EXAM 2Name _DO ANY 4 PROBLEMSProblem 1 (25 pts)Grade: Y_, N_The following data points are to be approximated by a straight line:xi yi0 01 11 22 33 3A) Find the equation of the Least Squares regression line thru

UCF - EGN - 3420

SP 96 EGN 3420Exam 3Name _DO ANY 3 PROBLEMS Show All Work! Use Only Methods Discussed In Class! Problem 1 (35 pts) /2 Estimate sinx dx 0 A) Using Trapezoidal Integration with 10 equally spaced intervals. B) Using Simpsons 1/3 Rule with 10 equa

UCF - EGN - 3420

ARBITRARY UNKNOWNSThe echelon form of the augmented matrix confirms the existence of arbitrary unknowns, i.e. a consistent system of equations in which one or more variables can be chosen arbitrarily There are several ways to establish if indeed a c

UCF - EEL - 4851

EEL 4851 Engineering Data Structures Summer 2005Office: Office hours: Phone Email: Web: T.A.s Textbook: Prerequisites: Goals: ENGR1-211 Monday and Wednesday 12:30 to 3:30 823-3987 fgonzale@pegasus.cc.ucf.edu http:/pegasus.cc.ucf.edu/~fgonzale/ HW Gr

Berkeley - EECS - 20

EECS 20N: Structure and Interpretation of Signals and Systems Department of Electrical Engineering and Computer Sciences UNIVERSITYOF CALIFORNIA BERKELEY LAST Name FIRST Name Lab TimeQUIZ 2 13 March 2007Ex/?o11 0 t'1M / .;( ,A- -"SA1"\

Berkeley - EECS - 20

1EECS20n, Quiz 2, 2/16/00The quiz is to provide feedback to you and to me about how well youve followed the material so far. The quiz will take 15 minutes. Do your calculations on the sheet and put a box around your answer . Please print your name

Berkeley - EECS - 20

EECS 20 NMarch 14, 2001Lecture 23: Frequency Domain (II)Laurent El Ghaoui1outlinereading assignment: Chapter 7 of Lee and Varaiya more on Fourier series for continuous-time signals Fourier series for discrete-time signals2Fourier seri

Berkeley - EECS - 20

EECS 20. Practice Problems No. 1. You have the following sources of practice problems: Quizzes you have taken. Problem sets you have turned in. The exam archive on the web from prior semesters. The labs you have done. The problem session problems. Th

Berkeley - PAPER - 2001

Luca DanielUniversity of California, BerkeleyAlberto Sangiovanni-VincentelliUniv. of California, BerkeleyJacob WhiteMassachusetts Institute of Technologydluca@eecs.berkeley.edu alberto@eecs.berkeley.edu ABSTRACTInterconnect structures inclu

Berkeley - PAPER - 1999

49.2On Thermal Effects in Deep Sub-Micron VLSI InterconnectsKaustav Banerjee Amit Mehrotra Albert0 Sangiovanni-Vincentelli Chenming Hu Department of Electrical Engineering and Computer Sciences University of California, Berkeley, CA 94720 Email: {

Berkeley - PAPER - 1998

Berkeley - JOURNAL - 2001

Platform-Based Design and Software Design Methodology for Embedded SystemsAlberto Sangiovanni-VincentelliUniversity of California, BerkeleyGrant MartinCadence Design SystemsEmbedded products have become so complex and must be developed so quic

Berkeley - PAPER - 1998

A Case Study in Embedded System Design: an Engine Control UnitTullio Cuatto, Politecnico di Torino, Italy Claudio Passerone, Politecnico di Torino Cadence Europeans Labs, Italy Luciano Lavagno, Politecnico di Torino Cadence Europeans Labs, Italy Att

Berkeley - JOURNAL - 2001

1016IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, VOL. 20, NO. 8, AUGUST 2001Synchronous Approach to the Functional Equivalence of Embedded System ImplementationsHarry Hsieh, Member, IEEE, Felice Balarin, Member,

UCF - SCEC - 1050

S.L.A.N.T Teacher: Good Morning! I want to introduce you to Mrs. Slant. She is going to teach you how to be a good listener. Why dont you introduce yourselves? Jonathan: Hi, my name is Jonathan. Tiffany: Im Tiffany Brittany: Hi, Im Brittany. Aunt Sal

UCF - EEL - 5937

1A Stream Enabled Routing (SER) Protocol for Sensor NetworksWeilian Su and Ian F. AkyildizBroadband and Wireless Networking Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA 30332 Tel: (404)-894-

UCF - EEL - 5937

Sift: A MAC Protocol for Event-Driven Wireless Sensor NetworksKyle Jamieson, Hari Balakrishnan MIT Laboratory for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 jamieson, hari @lcs.mit.edu Y. C. Tay Department of Mathe

Berkeley - BIO - 1

REAR of 14 5 DWINE LLE4 3 5 2 5 4 3 52Sect. 05Sect. 0311 1010 9Sect. 11FRONT of 145 DWIN ELLESit every third seat (1,4, 7,10, etc.) (i.e. 2 empty seats between each student).