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Solutions Manual – Applied Numerical Methods with MATLAB for Engineers and Scientists, 5th Edition by Steven C. Chapra

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Develop a deeper understanding of numerical analysis and computational problem-solving with this Solutions Manual for Applied Numerical Methods with MATLAB for Engineers and Scientists, 5th Edition by Steven C. Chapra. ISBN13: 9781264162604. This resource provides helpful solution support for numerical methods, MATLAB applications, engineering calculations, and scientific problem-solving. The complete table of contents is provided below for easy reference. Ideal for assignments, exam preparation, self-study, and instructor support. 1. Mathematical Modeling, Numerical Methods, and Problem Solving 2. MATLAB Fundamentals 3. Programming with MATLAB 4. Roundoff and Truncation Errors 5. Roots: Bracketing Methods 6. Roots: Open Methods 7. Optimization 8. Linear Algebraic Equations and Matrices 9. Gauss Elimination 10. LU Factorization 11. Matrix Inverse and Condition 12. Iterative Methods 13. Eigenvalues 14. Linear Regression 15. General Linear Least-Squares and Nonlinear Regression 16. Fourier Analysis 17. Polynomial Interpolation 18. Splines and Piecewise Interpolation 19. Numerical Integration Formulas 20. Numerical Integration of Functions 21. Numerical Differentiation 22. Initial-Value Problems 23. Adaptive Methods and Stiff Systems 24. Boundary-Value Problems

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SOLUTIONS MANUAL




** All Chapters solutions

,Table of Contents are given below


1. Mathematical Modeling, Numerical Methods, and Problem Solving
2. MATLAB Fundamentals
3. Programming with MATLAB
4. Roundoff and Truncation Errors
5. Roots: Bracketing Methods
6. Roots: Open Methods
7. Optimization
8. Linear Algebraic Equations and Matrices
9. Gauss Elimination
10. LU Factorization
11. Matrix Inverse and Condition
12. Iterative Methods
13. Eigenvalues
14. Linear Regression
15. General Linear Least-Squares and Nonlinear Regression
16. Fourier Analysis
17. Polynomial Interpolation
18. Splines and Piecewise Interpolation
19. Numerical Integration Formulas
20. Numerical Integration of Functions
21. Numerical Differentiation
22. Initial-Value Problems
23. Adaptive Methods and Stiff Systems
24. Boundary-Value Problems

, 1


CHAPTER 1

1.1 You are given the following differential equation with the initial condition, v(t = 0) = 0,

dv c
= g − d v2
dt m

Multiply both sides by m/cd

m dv m
= g − v2
cd dt cd


Define a = mg / cd

m dv
= a2 − v2
cd dt

Integrate by separation of variables,

dv cd
a 2
−v 2
=  m dt
A table of integrals can be consulted to find that

dx 1 x
a 2
−x 2
=
a
tanh −1
a

Therefore, the integration yields

1 v c
tanh −1 = d t + C
a a m

If v = 0 at t = 0, then because tanh–1(0) = 0, the constant of integration C = 0 and the solution is

1 v c
tanh −1 = d t
a a m

This result can then be rearranged to yield

gm  gcd 
v= tanh 
 m 
t
cd  

, 2


1.2 (a) For the case where the initial velocity is positive (downward), Eq. (1.21) is

dv c
= g − d v2
dt m

Multiply both sides by m/cd

m dv m
= g − v2
cd dt cd


Define a = mg / cd

m dv
= a2 − v2
cd dt

Integrate by separation of variables,

dv cd
a 2
−v 2
=  m dt
A table of integrals can be consulted to find that

dx 1 x
a 2
−x 2
=
a
tanh −1
a

Therefore, the integration yields

1 v c
tanh −1 = d t + C
a a m

If v = v0 at t = 0, then

1 v
C= tanh −1 0
a a

Substitute back into the solution

1 v c 1 v
tanh −1 = d t + tanh −1 0
a a m a a

Multiply both sides by a, taking the hyperbolic tangent of each side and substituting a gives,

mg  gcd cd 
v= tanh  t + tanh −1 v0  (1)
cd  m mg 


(b) For the case where the initial velocity is negative (upward), Eq. (1.21) is

dv c
= g + d v2
dt m

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