5 5 5 5 10 a Multiply the first equation by –310 and subtract the result from the second equation to
9.75 10
10.25 b The determinant can be computed as 02 . 02 . 1 1 2 5 . 2 02 . 1 1 5 . = − − − = − − which is close to zero. c Because the lines have very similar slopes and the determinant is so small, you would expect that the system would be ill-conditioned d Multiply the first equation by 1.020.5 and subtract the result from the second equation to eliminate the x 1 term from the second equation, 58 . 04 . 5 . 9 5 . 2 2 1 = − = − x x x The second equation can be solved for 5 . 14 04 . 58 . 2 = = x This result can be substituted into the first equation which can be solved for 10 5 . 5 . 14 5 . 9 1 = + − = x e Multiply the first equation by 1.020.52 and subtract the result from the second equation to eliminate the x 1 term from the second equation, 16538 . 03846 . 5 . 9 52 . 2 2 1 − = − − = − x x x 80 The second equation can be solved for 3 . 4 03846 . 16538 . 2 = − − = x This result can be substituted into the first equation which can be solved for 10 52 . 3 . 4 5 . 9 1 − = + − = x Interpretation: The fact that a slight change in one of the coefficients results in a radically different solution illustrates that this system is very ill-conditioned.8.7 a Multiply the first equation by –310 and subtract the result from the second equation to
eliminate the x 1 term from the second equation. Then, multiply the first equation by 110 and subtract the result from the third equation to eliminate the x 1 term from the third equation. 2 . 24 1 . 5 8 . 4 . 53 7 . 1 4 . 5 27 2 10 3 2 3 2 3 2 1 − = + − = + − = − + x x x x x x x Multiply the second equation by 0.8–5.4 and subtract the result from the third equation to eliminate the x 2 term from the third equation, 11111 . 32 5.351852 4 . 53 7 . 1 4 . 5 27 2 10 3 3 2 3 2 1 − = − = + − = − + x x x x x x Back substitution can then be used to determine the unknowns 5 . 10 8 2 6 27 8 4 . 5 6 7 . 1 4 . 53 6 351852 . 5 11111 . 32 1 2 3 = − − = = − − − − = − = − = x x x b Check: 81 5 . 21 6 5 8 5 . 5 . 61 6 2 8 6 5 . 3 27 6 8 2 5 . 10 − = − + + − = − + − − = − − +8.8 a Pivoting is necessary, so switch the first and third rows,
Parts
» Solutions Manual Applied Numerical Met
» a The first two steps are 2.3 The first two steps yield a a
» The true value is ln3 = 1.098612
» function root = bisectnewfunc,xl,xu,Ead function root = falseposfunc,xl,xu,es,maxit
» a The graph can be generated with MATLAB
» a The function can be set up for fixed-point iteration by solving it for x in two different
» a a Solutions Manual Applied Numerical Met
» a The formula for Newton-Raphson is
» a The formula for Newton-Raphson is a The formula for Newton-Raphson is
» a Terms can be combined to yield The mass balances can be written as
» The problem can be written in matrix form as The problem can be written in matrix form as a
» a Prob. 8.3: a The equations can be expressed in a format that is compatible with graphing x
» Equation 9.6 is The matrix to be evaluated is The LU decomposition can be computed as
» The system can be written in matrix form as The following solution is generated with MATLAB.
» a The first iteration can be implemented as
» The first iteration can be implemented as The first iteration can be implemented as
» a 2 Solutions Manual Applied Numerical Met
» 2 2 a 7.2 a Solutions Manual Applied Numerical Met
» 2.8 3 3.2 4 1.92 2.1 2.2 2.3 Solutions Manual Applied Numerical Met
» 1.2 1.8 Solutions Manual Applied Numerical Met
» a a a Solutions Manual Applied Numerical Met
» a The simultaneous equations for the clamped spline with zero end slopes can be set up as
» 8.4 8.8 Solutions Manual Applied Numerical Met
» a The analytical solution can be used to compute values at times over the range. For
» Note that students can take two approaches to developing this M-file. The first program
» a Solutions Manual Applied Numerical Met
» a a The explicit Euler can be written for this problem as
Show more