Numerical Analysis
3rd Edition
ISBN: 9780134696454
Author: Sauer, Tim
Publisher: Pearson,
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Chapter 5.5, Problem 8E
Find the Legendre polynomials up to degree 3 and compare with Example 5.13.
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Stat questions
1)
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let Xt is stochastic process with WSS
and Rxlt t+t)
1) E (X5) = \ 1
2
Show that
E (X5 = X 3 = 2 (= = =)
Since X is WSSEL
2
3) find E(X5+ X3)²
4) sind E(X5+X2) J=1
***
Chapter 5 Solutions
Numerical Analysis
Ch. 5.1 - Use the two-point forward-difference formula to...Ch. 5.1 - Use the three-point centered-difference formula to...Ch. 5.1 - Use the two-point forward-difference formula to...Ch. 5.1 - Carry out the steps of Exercise 3, using the...Ch. 5.1 - Use the three-point centered-difference formula...Ch. 5.1 - Use the three-point centered-difference formula...Ch. 5.1 - Develop a formula for a two-point...Ch. 5.1 - Prove the second-order formula for the first...Ch. 5.1 - Develop a second-order formula for the first...Ch. 5.1 - Find the error term and order formula for the...
Ch. 5.1 - Find a second-order formula for approximating by...Ch. 5.1 - (a) Compute the two-point forward-difference...Ch. 5.1 - Develop a second-order method for approximating ...Ch. 5.1 - Extrapolate the formula developed in Exercise...Ch. 5.1 - Develop a first-order method for approximating ...Ch. 5.1 - Apply extrapolation to the formula developed in...Ch. 5.1 - Develop a second-order method for approximating ...Ch. 5.1 - Find, an upper bound for the error of the machine...Ch. 5.1 - Prove the second-order formula for the third...Ch. 5.1 - Prove the second-order formula for the third...Ch. 5.1 - Prob. 21ECh. 5.1 - This exercise justifies the beam equations (2.33)...Ch. 5.1 - Use Taylor expansions to prove that (5.16) is a...Ch. 5.1 - Prob. 24ECh. 5.1 - Investigate the reason for the name extrapolation....Ch. 5.1 - Make a table of the error of the three-point...Ch. 5.1 - Make a table and plot of the error of the...Ch. 5.1 - Make a table and plot of the error of the...Ch. 5.1 - Prob. 4CPCh. 5.1 - Prob. 5CPCh. 5.2 - Apply the composite Trapezoid Rule with , , and 4...Ch. 5.2 - Apply the Composite Midpoint Rule with, , and 4...Ch. 5.2 - Apply the composite Simpson’s Rule with, 2, and 4...Ch. 5.2 - Apply the composite Simpson’s Rule with, 2, and 4...Ch. 5.2 - Apply the Composite Midpoint Rule with, 2, and 4...Ch. 5.2 - Apply the Composite Midpoint Rule with, 2, and 4...Ch. 5.2 - Prob. 7ECh. 5.2 - Apply the open Newton-Cotes Rule (5.28) to...Ch. 5.2 - Apply Simpson’s Rule approximation to, and show...Ch. 5.2 - Integrate Newton’s divided-difference...Ch. 5.2 - Find the degree of precision of the following...Ch. 5.2 - Prob. 12ECh. 5.2 - Develop a composite version of the rule (5.28),...Ch. 5.2 - Prove the Composite Midpoint Rule (5.27).
Ch. 5.2 - Find the degree of precision of the degree four...Ch. 5.2 - Use the fact that the error term of Boole’s Rule...Ch. 5.2 - Prob. 17ECh. 5.2 - Prob. 1CPCh. 5.2 - Prob. 2CPCh. 5.2 - Prob. 3CPCh. 5.2 - Prob. 4CPCh. 5.2 - Prob. 5CPCh. 5.2 - Prob. 6CPCh. 5.2 - Apply the Composite Midpoint Rule to the improper...Ch. 5.2 - The arc length of the curve defined by from to ...Ch. 5.2 - Prob. 9CPCh. 5.2 - Prob. 10CPCh. 5.3 - Apply Romberg Integration to find for the...Ch. 5.3 - Apply Romberg Integration to find for the...Ch. 5.3 - Prob. 3ECh. 5.3 - Prob. 4ECh. 5.3 - Prove formula (5.31).
Ch. 5.3 - Prove formula (5.35).
Ch. 5.3 - Use Romberg Integration approximation to...Ch. 5.3 - Use Romberg Integration to approximate the...Ch. 5.3 - (a) Test the order of the second column of Romberg...Ch. 5.4 - Apply Adaptive Quadrature by hand, using the...Ch. 5.4 - Apply Adaptive Quadrature by hand, using Simpson’s...Ch. 5.4 - Prob. 3ECh. 5.4 - Develop an Adaptive Quadrature method for rule...Ch. 5.4 - Use Adaptive Trapezoid Quadrature to approximate...Ch. 5.4 - Modify the MATLAB code for Adaptive Trapezoid Rule...Ch. 5.4 - Carry out the steps of Computer Problem 1 for...Ch. 5.4 - Carry out the steps of Computer Problem 1 for the...Ch. 5.4 - Carry out the steps of Computer Problem 1 for the...Ch. 5.4 - Use Adaptive Trapezoid Quadrature to approximate...Ch. 5.4 - Carry out the steps of Problem 6, using Adaptive...Ch. 5.4 - The probability within standard deviations of the...Ch. 5.4 - Write a MATLAB function called myerf.m that uses...Ch. 5.5 - Approximate the integrals, using Gaussian...Ch. 5.5 - Prob. 2ECh. 5.5 - Approximate the integrals in Exercise 1, using ...Ch. 5.5 - Change variables, using the substitution (5.46) to...Ch. 5.5 - Approximate the integrals in Exercise 4, using ...Ch. 5.5 - Approximate the integrals, using Gaussian...Ch. 5.5 - Prob. 7ECh. 5.5 - Find the Legendre polynomials up to degree 3 and...Ch. 5.5 - Prob. 9ECh. 5.5 - Verify the coefficients and in Table 5.1 for...Ch. 5.5 - Write a MATLAB function that uses Adaptive...Ch. 5.5 - Write a program that, for any input between 0 and...Ch. 5.5 - Equipartition the path of Figure 5.6 into ...Ch. 5.5 - Prob. 4SACh. 5.5 - Prob. 5SACh. 5.5 - Prob. 6SACh. 5.5 - Write a program that traverses the path according...
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- Question 1: Let X be a random variable with p.m.f (|x| +1)² x= -2, -1, 0, 1,2 f(x) = C 0, O.W 1. The value of c. 2. The c.d.f. 3. E(X). 4. E(2x+3). 5. E(X²). 6. E(3x²+4). 7. E(X(3X+4)). 8. Var(X). 9. Var (6-3X). 10. Find the m.g.f of the random variable Xarrow_forwardI need help explaining on this examplearrow_forwardProve that 1) | RxX (T) | << = (R₁ " + R$) 2) find Laplalse trans. of Normal dis: 3) Prove thy t /Rx (z) | < | Rx (0)\ 4) show that evary algebra is algebra or not.arrow_forward
- = 5 37 A 4 8 0.5 06 9arrow_forwardFor each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Month Number (Thousands)Dec 1991 65.60Jan 1992 71.60Feb 1992 78.80Mar 1992 111.60Apr 1992 107.60May 1992 115.20Jun 1992 117.80Jul 1992 106.20Aug 1992 109.90Sep 1992 106.00Oct 1992 111.80Nov 1992 84.50Dec 1992 78.60Jan 1993 70.50Feb 1993 74.60Mar 1993 95.50Apr 1993 117.80May 1993 120.90Jun 1993 128.50Jul 1993 115.30Aug 1993 121.80Sep 1993 118.50Oct 1993 123.30Nov 1993 102.30Dec 1993 98.70Jan 1994 76.20Feb 1994 83.50Mar 1994 134.30Apr 1994 137.60May 1994 148.80Jun 1994 136.40Jul 1994 127.80Aug 1994 139.80Sep 1994 130.10Oct 1994 130.60Nov 1994 113.40Dec 1994 98.50Jan 1995 84.50Feb 1995 81.60Mar 1995 103.80Apr 1995 116.90May 1995 130.50Jun 1995 123.40Jul 1995 129.10Aug 1995…arrow_forwardFor each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Year Month Units1 Nov 42,1611 Dec 44,1862 Jan 42,2272 Feb 45,4222 Mar 54,0752 Apr 50,9262 May 53,5722 Jun 54,9202 Jul 54,4492 Aug 56,0792 Sep 52,1772 Oct 50,0872 Nov 48,5132 Dec 49,2783 Jan 48,1343 Feb 54,8873 Mar 61,0643 Apr 53,3503 May 59,4673 Jun 59,3703 Jul 55,0883 Aug 59,3493 Sep 54,4723 Oct 53,164arrow_forward
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