NUMERICAL ANALYSIS
Page 1. B.Sc. [Mathematics]. V - Semester. 113 53. NUMERICAL ANALYSIS. Directorate of 3. SYLLABI-BOOK MAPPING TABLE. Numerical Analysis. BLOCK I: POLYNOMINALM ...
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MATH 2P20 NUMERICAL ANALYSIS I Lecture Notes
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of Sciences produced a total of four mathematical papers within 3 years (1770–1772). Though written by a novice to mathematics
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Numerical Analysis Syllabus
Inverse interpolation. Chapter 3. Approximation of function. Least square method. Use of orthogonal polynomials. Approximation by. Chebyshev polynomials
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Numerical Integration and Di?erentiation Here the objective is clear; we knowthat many functions are impossible tointegrate analyticallysowewanttohaveanaccuratewayofdoingthisnumerically We would also like to have some idea and control over the accuracy of the results Integration Thewayhowwecannumericallyevaluate RB A y(x)dxis to choose a
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Numerical analysis is a branch of Mathematics that deals with devising e?cient methods for obtaining numerical solutions to di?cult Mathematical problems Most of the Mathematical problems that arise in science and engineering are very hard and sometime impossible to solve exactly
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numerical analysis has enabled the development of pocket calculators and computer software to make this routine But numerical analysis has done much more than this We will see that far more complex functions de?ned e g only implicitly can be evaluated just as easily and with the same tech-nology
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NUMERICAL ANALYSIS (Syllabus for the academic years 2010-2011 and onwards) UNIT - I 20 Hours Errors in Numerical computations : Numbers and their Accuracy Errors and their Computation Absolute Relative and percentage errors A general error formula Error in a series approximation
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Rectangular coordinates in 3-space Spheres and cylindrical surfaces Vectors viewed geometrically Vectors in coordinate systems Vectors determined by length and angle Dot product Cross product and their geometrical properties Parametric equations of lines in 2-space and 3-space
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1 Solving ordinary differential equations (initial-value problem) 2 Solving partial differential equations 3 Optimizing a function of several variables
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Conte and Carl de Boor Elementary Numerical Analysis - An Algorithmic Approach (3rd edition) McGraw-Hill 1981 General Rules 1 Attendance in lectures as
What is numerical analysis?
- Introduction Numerical analysis is a branch of Mathematics that deals with devising e?cient methods for obtaining numerical solutions to di?cult Mathematical problems. Most of the Mathematical problems that arise in science and engineering are very hard and sometime impossible to solve exactly.
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What are the three parts of numerical analysis?
- Numerical analysis include three parts. The ?rst part of the subject is about the development of a method to a problem. The second part deals with the analysis of the method, which includes the error analysis and the e?ciency analysis.
SIMON FRASER UNIVERSITY M. Alamgir Hossain
FACULTY OF SCIENCEJohn M. Stockie
DEPARTMENT OF MATHEMATICSClicker Question Bank for Numerical Analysis (Version 1.0 { May 14, 2020)This teaching resource (including L ATEX source, graphical images and Matlab code) is made available under theCreative Commons \CC BY-NC-SA" license. This license allows anyone to reuse, revise, remix and redistribute the
databank of clicker questions provided that it is not for commercial purposes and that appropriate credit is given
to the original authors. For more information, visithttp://creativecommons.org/licenses/by-nc-sa/4.0.1. Introduction
Q1{11.Select the best denition for \numerical analysis":
(A) the study of round-o errors (B) the study of algorithms for computing appro ximatesolutions to problems from con tinuousmathematics (C)the study of quan titativeappro ximationsto the solutions of mathematical pr oblemsincluding consider-
ation of and bounds for the errors involved (D) the branc hof m athematicsthat d ealswith the dev elopmentand use of n umericalmetho dsfor solving problems (E)the branc hof mathematics dealing with metho dsfor obtaining appro ximaten umericalsolutions of math-
ematical problems Answer: (B). All 5 denitions are valid in some sense since they re ect some aspect of the eld (most arepulled o the internet). But my favourite denition is (B) because it contains three very important keywords
underlined below: the study of algorithmsfor computing approximatesolutions to problems from continuousmathematics [ algorithms()computing, approximate() oating point arithmetic, continuous()solutions are smooth f'ns ] fSource: JMSg1a. Floating Point Arithmetic and Error
Q1a{12.How many signicant digits does the
oating point number 0:03140103have? (A) 6 (B) 5 (C) 4 (D) 3Answer: (C).
Q1a{23.Suppose that a hypothetical binary computer stores
oating point numbers in 16-bit words as shown:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 s exp mantissaClicker Question Bank for Numerical Analysis (Version 1.0) 1/91Bit 1 is used for the sign of the number, bit 2 for the sign of the exponent, bits 3-4 for the magnitude of the
exponent, and the remaining twelve bits for the magnitude of the mantissa. What is machine epsilon for this
computer? (A) 2 16 (B) 2 12 (C) 2 8 (D) 2 4 Answer: (B). Assume that rounding is used and recall that"Mis essentially the same as unit round-o erroru=12 B1t, whereB= 2is the base andtis the number of signicant digits. The number of digits stored in the mantissa ist= 12and so"M122112= 212.
Q1a{34.You are working with a hypothetical binary computer that stores integers as unsigned 4-bit words. What
is the largest non-negative integer that can be represented on this computer? (A) 64(B) 63
(C) 31
(D) 15 (E) 7
Answer: (D).(1111)2= 120+ 121+ 122+ 123= 15.
Q1a{45.In 1958 the Russians developed a ternary (base-3) computer calledSetun, after the Setun River that
owsnear Moscow State University where it was built. In contrast with today's binary computers, this machine
used \trits" (ternary bits) whose three possible states can be represented asf0;1;2g. Its oating-point numbersystem was based on 27-trit numbers, with 9 trits reserved for the exponent and 18 for the mantissa. What
was the value of machine epsilonMfor theSetun? (A) 3 19 (B) 3 18 (C) 3 9 (D) 13 218Answer: (B).
Apply the formulaM=Btfrom the notes, where
B= 3is the base andt= 18is the number dig-
its in the mantissa. You may have noticed that I didn't mention a \sign trit" for the mantissa. In actual fact, the oating-point representation onSe- tunwas more complicated than this and the sign of a number came from interpreting one specic trit as f1;0;+1ginstead.Setun { Moscow State University fSource: JMS, plus info fromhttp://homepage.divms.uiowa.edu/~jones/ternary/numbers.shtmlg Q1a{56.In Canada, the total for any store purchase paid in cash is rounded to the nearest 5 cents, whereas no
rounding is done if the payment is by credit/debit card. Suppose that when you return home after purchasing
your groceries with cash, you notice that your bill was $10:07. What is the absolute error in your actual cash
payment?Clicker Question Bank for Numerical Analysis (Version 1.0) 2/91 (A)2 cen ts (B)3 cen ts
(C)4 cen ts
(D)5 cen ts
Answer: (A).
Q1a{67.Let ^xbe some approximation ofx. Which of the following error denitions is correct?
(A) absolute error = jx^xj, relative error =jx^xjjxj (B) absolute error = jx^xjjxj, relative error =jx^xj (C) absolute error = jx^xjjxj;x6= 0, relative error =jx^xj (D) absolute error = jx^xj, relative error =jx^xjjxj;x6= 0Answer: (D).
Q1a{78.For a base-10 (decimal)
oating point numberxhavingtsignicant digits, the relative error satises R x=jxf`(x)jjxj6u whereudenotes unit round-o error. Which of the following is true aboutu? (A)u=(101t;chopping
12101t;rounding
(B)u=( 12101t;chopping
101t;rounding
(C)u=( 12101t;rounding
101t;chopping
(D)u=(101t;rounding
12101t;chopping
Answer: (A).
Q1a{89.Fill in the blank:Iff(x) is a real-valued function of a real variable, then theerror in the
dierence approximation for the derivativef0(x)f(x+h)f(x)h goes to zero ash!0. (A) absolute (B) relativ e (C) cancellation (D) truncationAnswer: (D). Strictly, response (A) is also correct since truncation error is an (absolute) dierence from
the exact derivative. Q1a{910.The two solutions of the quadratic equationax2+bx+c= 0 given by
x=bpb24ac2a
are computed usingoating point arithmetic. Which of the statements below is TRUE?Clicker Question Bank for Numerical Analysis (Version 1.0) 3/91
(A)F orsome v aluesof th eco ecients,this form ulacan ge neratecancellation errors. (B) If the co ecientsa,bandcare very small or very large, thenb2or 4acmay over ow or under ow. (C)The expression x=2cbpb
24acis an alternative formula forxthat avoids truncation error.
(D)All of the ab ove.
Answer: (D).
Q1a{10
11.In oating-point arithmetic, which of the following operations on two positive oating-point numbers can produce an over ow? (A) addition (B) subtraction (C) m ultiplication (D) divisionAnswer: (A). But (C) and (D) are also valid responses. Letxbe the largest number that can be represented.
Then the operationsx+ 1:0,x2:0andx0:3all generate an over ow. fSource: Heath [4], Review Question 1.29, p. 40gQ1a{11
12.In oating-point arithmetic, which of the following operations on two positive oating-point numbers can produce an under ow? (A) addition (B) subtraction (C) m ultiplication (D) divisionAnswer: (C). But (D) is also a valid response. Letxbe the smallest positive number that can be represented.
Then the operationsx0:5andx2:3both generate an under ow. fSource: Heath [4], Review Question 1.30, p. 40gQ1a{12
13.Letfxkgbe a decreasing sequence of positive numbers withxk+1< xkfork= 1;2;:::. In what order
should the sum NX k=1x kbe computed so as to minimize round-o error? (A)Order the xkfrom largest to smallest (1;2;:::;N).
(B)Order the xkfrom smallest to largest (N;:::;2;1).
(C)Sum the terms in random order.
(D)It do esn'tmatter.
Answer: (B).
fSource: Heath [4], adapted from Review Question 1.45, p. 41gQ1a{13
14.True or False:If two real numbers can be represented exactly as
oating-point numbers, then the result of a real arithmetic operation on them can also be represented exactly as a oating-point number. Answer: FALSE. As a counterexample, letx1="M(machine epsilon) andx2= 2, which are exact in any other binary oating point system (like the IEEE standard). Thenx1=x2has no oating point representation. fSource: Heath [4], Review Question 1.7, p. 39gQ1a{14
15.Below are four
oating point approximations, each accompanied by its corresponding exact value. Which approximation is the most accurate? (A)315700, exact v alue315690 Clicker Question Bank for Numerical Analysis (Version 1.0) 4/91
(B)0 :0005500, exact value 0:0005510 (C)8 :7362105, exact value 8:7743105
(D)"M(machine epsilon), exact value 0Answer: (A). Accuracy is measured either by counting signicant digits or computing relative error. Answer
(A) has the most signicant digits of accuracy (4 after rounding), whereas choices (B) and (C) have 2 and
3 signicant digits. The accuracy of the answer from (D) can't be compared because relative error formula is
undened when the exact answer is zero.quotesdbs_dbs9.pdfusesText_15[PDF] numerical analysis pdf download
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