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.
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:
Sanford-Brown Institute - CS - 034
CS34 Lecture 8CS-034 Its Magic Thomas Doeppner Pascal Van Hentenryck3/23/2005CS-034: Lecture 8 (twd/pvh: 2005)1Storagestack Local Variablesdynamic data textmalloc and new everything else Code3/23/2005CS-034: Lecture 8 (twd/pvh: 2
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab1a.dvi %Pages: 7 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMSY10 CMTT12 CMTT10 CMR8 %+ CMR6 CMR9 CMTT9 CMTI10 %EndCo
Sanford-Brown Institute - CS - 034
CS034Intro to Systems ProgrammingDoeppner & Van HentenryckLab 1.1Out: February 2, 2005 What youll learn.In this lab, you will write and compile your rst C program, all from scratch. Well go through step by step what is required to write a com
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab1b.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT12 CMTT10 CMR8 CMR6 CMR9 %+ CMTT9 CMSY10 %EndComments
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab2a.dvi %Pages: 8 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMSY10 CMMI10 CMMI8 %+ CMR8 CMR6 CMR9 CMTT9 %EndCom
Sanford-Brown Institute - CS - 034
CS034Intro to Systems ProgrammingDoeppner & Van HentenryckLab 2.1Out: 9 February 2005 What youll learn.In the rst part of this lab, you will practice using bitwise operators. In the second part, you will open an image and read formatted data
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab2b.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMSY10 CMTI10 %EndComments %DVIPSWebPage: (www.radi
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab3a.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMTI10 %EndComments %DVIPSWebPage: (www.radicaleye.
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab3b.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMR8 CMTT10 CMR6 CMR9 %EndComments %DVIPSWebPage: (www.rad
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab4.2.dvi %Pages: 5 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMMI10 CMR8 CMR6 CMR9 %EndComments %DVIPSWebPage:
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab5-1.dvi %Pages: 5 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMTT12 CMR8 CMR6 CMR9 %EndComments %DVIPSWebPage:
SUNY Stony Brook - MAT - 125
MAT125.R92: QUIZ 6SOLUTIONSName: Using linear approximation, estimate3 8.1. (Hint: 3 8.1 = f (8.1), where f (x) = 3 x.) f (x) f (a) + f (a)(x a) for a close to x. Specically, f (8.1) = f (8) + f (8)(8.1 8) (we choose a = 8 because its close t
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab5-2.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 %EndComments %DVIPSWebPage: (www.radicaleye.com) %
Sanford-Brown Institute - CS - 034
CS034Intro to Systems ProgrammingDoeppner & Van HentenryckLab 5.2Out: Thursday, March 3rd, 2005 What youll learn.In this lab, you will learn how to subclass in C+ and how to override methods.How youll do it.You will subclass from your Imag
SUNY Stony Brook - MAT - 125
MAT125.R92: QUIZ 2SOLUTIONS2x + 5 . Find the inverse function of f (x). x3 2x + 5 The function f (x) is given by the equation y = . We need to solve x3 for x: 2x + 5 y= x3 (x 3)y = 2x + 5 xy 3y = 2x + 5 xy 2x = 5 + 3y (y 2)x = 3y + 5 3y + 5 x=
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab6.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMTT12 CMSY10 %EndComments %DVIPSWebPage: (www.radic
Sanford-Brown Institute - CS - 034
CS034Intro to Systems ProgrammingDoeppner & Van HentenryckLab 6Out: Wednesday 9 March 2005 What youll learn.Modern C+ comes with a powerful template library, the Standard Template Library, or STL. The STL is based on the independent concepts
SUNY Stony Brook - MAT - 125
MAT125.R91: QUIZ 5SOLUTIONS3x + 1 . Evaluate the following limits: x3 3x + 1 (a) lim f (x) = lim . x3+ x3+ x 3 When x approaches 3 from the right, 3x + 1 is close to 3(3) + 1 = 10 and x 3 is a small positive number. 3x + 1 is 10 divided by a sma
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab7a.dvi %Pages: 4 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMTT12 CMMI10 CMSY10 %EndComments %DVIPSWebPage: (w
SUNY Stony Brook - MAT - 125
MAT 125: MIDTERM I PRACTICESOLUTIONSChapter 1 2. (a) g(2) = 3 (b) passes horizontal line test (c) g1 0.2 (d) (1, 3.5), same as range of g(x) (e)15. domain: 4 3x2 0 4 3x2 4 or x2 3 22 , 33 range: from 0 to 4 3 0 2; [0, 2] 6. domain:
SUNY Stony Brook - MAT - 125
MAT125.R91: QUIZ 2SOLUTIONS Let f (x) = 2 x2 + 5, x 0. Find the inverse function of f (x). The function f (x) is given by the equation y = 2 x2 + 5. We need to solve for x: y = 2 x2 + 5 y 2 = x +5 2 y2 = x2 + 5 2 y2 5 = x2 2 y2 5 x= 2 y2 Hence
SUNY Stony Brook - MAT - 125
MAT125.R91: QUIZ 9SOLUTIONSFind the absolute maximum and absolute minimum values of f (x) = x4 2x2 + 3 on the interval [1, 1]. f (x) = (x4 2x2 + 3) = 4x3 4x Critical points: The derivative exists everywhere, so we only need to check where it is
SUNY Stony Brook - MAT - 125
MAT125.R92: QUIZ 0SOLUTIONSNo score will be assigned for this quiz. The graph of the function f (x) is given below:11(a) Determine the domain and range of f (x). Domain: 4 < x < 1 and 1 < x < 4 (or, in other notations, (4, 1) and (1, 4). We
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab7b.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMSY10 CMMI12 CMTT10 %EndComments %DVIPSWebPage: (www.radi
Sanford-Brown Institute - CS - 034
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: lab8b.dvi %Pages: 5 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX10 CMR10 CMBX12 CMTI12 CMTT10 CMSY10 CMMI10 CMTI10 %EndComments %DVIPSWebPage: (w
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
Team Number: Week: Program Size (SLOC) Base Added Deleted Modified Reused # of COTS Total New SLOC Effort (Hours) Project Mgmt. Requirements COTS Assessment Design Life Cycle Planning Configuration Mgmt. Feasibility Analysis Code COTS Tailoring COTS
USC - CSCI - 577
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15Task Name Inception First Team Interaction Members' time preferences Assigning Roles Project Detail discussion Client meeting preperation First Client Meeting Team & Client Introduction Project Overview Collabo
USC - CSCI - 577
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27Task Name Inception First Team Interaction Members' time preferences Assigning Roles Project Detail discussion Client meeting preperation First Client Meeting Team & Client I
USC - CSCI - 577
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32Task Name Inception First Team Interaction Members' time preferences Assigning Roles Project Detail discussion Client meeting preperation First Client Meeting
USC - CSCI - 577
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32Task Name Inception First Team Interaction Members' time preferences Assigning Roles Project Detail discussion Client meeting preperation First Client Meeting
USC - CSCI - 577
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32Task Name Inception First Team Interaction Members' time preferences Assigning Roles Project Detail discussion Client meeting preperation First Client Meeting
SUNY Stony Brook - MAT - 127
Answers to the MAT127 Homework No.12 Chapter 7 Section 4 Problem 2-4,7,10 & Section 5 Problem 2,5,7,8,11,13,14,15 Section 7.4 2.(a) Let P (t) be the population of bacteria w.r.t. time t in the unit of hour, and let k be the relative growth rate in th
SUNY Stony Brook - MAT - 127
1 Show thatf (x) =n=0(1)n x2n (2n)!is a solution of f + f = 0. Solution. Writef (x) =n=0 2n(1)n x2n1 (2n)!f (x) =n=02n(2n 1)(1)n x2n2 = (2n)!n=02n(2n 1)(1)n x2(n1) (2n)!Notice that we can begin the above sum by n = 1 since
UCSC - CHEM - 112
Chemistry 112B: Organic Chemistry Winter 2008 Professor Rebecca Braslau Assigned Homework Problems The following problems are required, and must be turned in. Problems are to b e done without looking at the answers as much as possible, then corrected
SUNY Stony Brook - MAT - 126
Quiz 4 - Solutionsdx Question 1. The integral 0 2x1 is improper because 2x1 1 is not dened at 1 . 2 1 Question 2. Notice that e2x + 3 > e2x , so e2x1+3 < e2x . We then obtain: 0 1ex dx < e2x + 3 0ex dx = e2x 0ex dxThis last integral is
SUNY Stony Brook - MAT - 126
Quiz 3 - Solutions Question 1. We want to compute x2 dx+a2 using the substitution x2 x = a tan , < < ; a is some positive real number. 2 2 From x = a tan we get dx = a sec2 d and x2 + a2 = a2 + a2 tan2 = a 1 + tan2 . Recalling that 1 + tan2
SUNY Stony Brook - MAT - 125
1 Problem 37 section 4.1. We have the situation shown in the gure, where v is the velocity, (xb , yb ) are the coordinates of the runner, xa is the x-coordinate of the runners friend (we do not show the y -coordinate of the runners friend since it is
SUNY Stony Brook - MAT - 211
MAT211 - Introduction to Linear Algebra SUMMER 07 Practice Final Question 1. Find 1 0 A= 0 the rank of the 23 1 B = 1 22 01 1 matrices: 11 147 1 1 C = 2 5 8 11 369Question 2. Is the matrix below invertible? In case yes, nd its inverse: 100
SUNY Stony Brook - MAT - 127
Answers for HW 1 9. 3 + 5 n2 lim = lim n n + n2 n 10. 1+ n+1 = lim n 3 n 3n 1 lim 11. 12 2n = lim ( )n = 0. n 3 3 n 3n+1 lim 12. lim 1 n n 19. Consider f (x) = x2 ex =x2 ex . 1 n 1 n 3 +5 n2 1 n +1=0+5 = 5. 0+1=1+0 1 =. 30 31 1 = = 1. 0
SUNY Stony Brook - MAT - 127
Answers for HW 11 2.Since ey dy = we get ey = 2 x 2 + C . 3 3. If y = 0, then 1 dy = y which means ln |y | = So nally y = A x2 + 1, A R. 5. From 1+ x2 x dx, +13x dx,1 ln(x2 + 1) + C. 2sin y dy = cos yx2 + 1 dx,we get (since sin ydy = d
SUNY Stony Brook - MAT - 127
Answers to the MAT127 Homework No.2 Chapter 8 Section 2 Problem 5, 7, 9, 19, 20, 25-28, 33, 36, 43 5. Divergent. Because tan n does not convergent to 0. 7. Convergent. SinceNn=11 1 1.5 n (n + 1)1.5 1 21.5 1 1 1.5 + 1.5 2 3 1 1 N 1.5 (N + 1)1.
SUNY Stony Brook - MAT - 126
Solutions for the second quizQuestion 1. We have:2 1x 3 x4 dx = x222 1x dx + x212 13x4 dx = x22 11 dx 3 x2x2 dx =1ln |x|13x3 2 3= ln 2 ln 1 (23 13 ) = ln 2 7xa+1 a+1Remember that the formula xa dx = case we
SUNY Stony Brook - MAT - 123
MAT123 - Introduction to calculus Second Practice Midterm The Second Midterm will be on Tuesday 11/11 at 8:30pm at Harriman 137. Important: check the webpage to get a copy of Second Midterm of Fall 2007! Question 1. Compute: (a) log2 (16) (b) ln e3 +
SUNY Stony Brook - MAT - 126
MAT126 Calculus B Solutions to some practice problems sec 4.9, problem 24. Find f if f (x) = 4 6x 40x3 and f (0) = 2, f (0) = 1. Computing the antiderivative: f (x) = f (x)dx = (4 6x 40x3 )dx = 4x 6 x2 x4 40 + C 2 4= 4x 3x2 10x4 + C f (0)
SUNY Stony Brook - MAT - 127
Math 127 - S2008 Practice Test for the Final Examination1. Show that the function y =Ccos(x) x2is a solution of the dierential equationx2 y + 2xy = sin(x). For what value of C does the solution satisfy the initial condition y(2) = 0? 2. Find th
SUNY Stony Brook - MAT - 126
MAT 126 Summer 08 Practice Final Question 1. Compute the derivative of the given functions: (a) f (x) = (b) g (x) =x (sin(2t) 4+ et cos t)dt6x3 esin u du x sec u+Question 2. Evaluate the indenite integrals: (a) (3x 5.73)13 dx (c) (e) a+b
SUNY Stony Brook - MAT - 126
MAT 126 Summer 08 Practice Midterm NAME: Question 1. Estimate the area under the graph of f (x) = 36 x2 from x = 0 to x = 5 using ve approximating rectangles and right endpoints. Is your estimate an underestimate or an overestimate? Question 2. Exp
SUNY Stony Brook - MAT - 127
Answers to the MAT127 Homework No.8 Chapter 8 Section 8 Problem 1-3, 9, 10, 13, 14 1. 1 21+x =n=0nxn11 ( 22 1 1)( 2 n) ( 1 n + 1) n 2 x n!= 1+n=1 = 1+n=1(1)n1 1 3 5 (2n 3) n x 2n n!So an =(1)n1 135(2n3) , 2n n!t
SUNY Stony Brook - MAT - 127
Answers for HW 9 3. Usually, one may compute the 1st, 2nd and 3rd derivatives of f at to get the 6 T3 . For this problem, one may also use sin(y + z ) = sin y cos z + cos y sin z to get the whole Taylor series of f. Just take y = x and z = .(Sinc
SUNY Stony Brook - MAT - 127
Math 127 - Spring 2008 Practice for First Examination1. Calculate the following limit if it exists. e2n + n5 e5n . n n4 (3ne2n + 1)(4e3n + 5n) lim 2. Determine whether the seriesn=11 + ln(n) (1+ln(n)2 e nis convergent or divergent. Justify yo