Fortran Program For Secant Method Numerical Analysis
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Fortran Program For Secant Method Numerical Analysis Average ratng: 7,0/10 9070 votes
Introduction to Fortran & Scientific Programming J Kiefer April 2006. Numerical Methods or Numerical Analysis 1. Numerical Analysis a. And when to do it—computer programming. Sonic impact model 5090 manual transmission parts. Newton’s Method for Solving a Nonlinear Equation—an example a. Numerical solution. Secant method solving for pipe diameter 2 answers I am trying to write a program to solve for pipe diameter for a pump system I've designed. I've done this on paper and in excel and understand the mechanics of the equations.
This page contains a list of sample Fortran computer programs associated with our textbook. In the following table, each line/entry contains the program name, the page number where it can be found in the textbook, and a brief description.| Chapter 1 | ||
| elimit.f | 15-16 | Example of a slowly converging sequence |
| sqrt2.f | 16-17 | Example of a rapidly converging sequence |
| nest.f | 20-21 | Nested multiplication |
| Chapter 2 | ||
| epsi.f | 54 | Approximate value of machine precision |
| depsi.f | 54 | Approximate value of double precision machine precision |
| ex2s22.f | 57-58 | Loss of significance |
| unstab1.f | 64-65 | Example of an unstable sequence |
| unstab2.f | 65-66 | Example of another unstable sequence |
| instab.f | 66 | Example of numerical instability |
| Chapter 3 | ||
| ex1s31.f | 76-78 | Bisection method: roots of exp(x) = sin(x) |
| ex1s32.f | 81-83 | Newton's method example |
| ex2s32.f | 86 | Simple Newton's method |
| ex3s32.f | 86-87 | Implicit function example |
| ex1s33.f | 95 | Secant method example |
| ex3s34.f | 103-104 | Contractive mapping example |
| ex3s35.f | 114 | Horner's method example |
| ex6s35.f | 114-115 | Newton's method on a given polynomial |
| ex7s35.f | 119-120 | Bairstow's method example |
| laguerre.f | 123-124 | Laguerre's method example |
| Chapter 4 | ||
| forsub.f | 150 | Forward substitution example |
| bacsub.f | 150 | Backward substitution example |
| pforsub.f | 151 | Forward substitution for a permuted system |
| pbacsub.f | 151 | Backward substitution for a permuted system |
| genlu.f | 154 | General LU-factorization example |
| doolt.f | 155 | Doolittle's-factorization example |
| cholsky.f | 157-158 | Cholesky-factorization example |
| bgauss.f | 167 | Basic Gaussian elimination |
| pbgauss.f | 169 | Basic Gaussian elimination with pivoting |
| gauss.f | 171-172 | Gaussian elimination with scaled row pivoting |
| paxeb.f | 174-175 | Solves Lz = Pb and then Ux = z |
| yaec.f | 175 | Solves UT z = c and then LTPy = z |
| tri.f | 180 | Tridiagonal system solver |
| ex1s45.f | 199-200 | Neumann series example |
| ex2s45.f | 201 | Gaussian elimination followed by iterative improvement |
| ex1s46.f | 208-209 | Example of Jacobi and Gauss-Seidel methods |
| ex2s46.f | 211 | Richardson method example (with scaling) |
| jacobi.f | 212-213 | Jacobi method example (with scaling) |
| ex3s46.f | 217 | Gauss-Seidel method (with scaling) |
| ex6s46.f | 228-229 | Chebyshev acceleration example |
| steepd.f | 234 | Steepest descent method example |
| cg.f | 238 | Conjugate gradient method |
| pcg.f | 243-244 | Jacobi preconditioned conjugate gradient method |
| Chapter 5 | ||
| ex1s51.f | 259 | Power method example |
| poweracc.f | 259-260 | Power method with Aitken acceleration |
| ex2s51.f | 261 | Inverse power method example |
| ipoweracc.f | 261 | Inverse power method with Aitken acceleration |
| ex1s52.f | 268 | Schur factorization example |
| qrshif.f | 276-277 | Modified Gram-Schmidt example |
| ex1s53.f | 282-284 | QR-factorization using Householder transformations |
| ex2s55.f | 302-303 | QR-factorization example |
| ex3s55.f | 304 | Shifted QR-factorization example |
| Chapter 6 | ||
| coef.f | 309-311 | Coefficients in the Newton form of a polynomial |
| fft.f | 455-456 | Fast Fourier transform example |
| adapta.f | 461-463 | Adaptive approximation example |
| Chapter 7 | ||
| ex1s71.f | 466-467 | Derivative approximations: forward difference formula |
| ex2s71.f | 469 | Derivative approximation: central difference |
| ex5s71.f | 473 | Derivative approximation: Richardson extrapolation |
| ex6s71.f | 476 | Richardson extrapolation |
| gauss5.f | 496 | Gaussian five-point quadrature example |
| romberg.f | 504 | Romberg extrapolation |
| adapt.f | 511 | Adaptive quadrature |
| Chapter 8 | ||
| taylor.f | 531-532 | Taylor-series method |
| rk4.f | 542-543 | Runge-Kutta method |
| rkfelberg.f | Runge-Kutta-Fehlberg method | |
| taysys.f | 567-568 | Taylor series for systems |
| Chapter 9 | ||
| exs91.f | 618-619 | Boundary value problem (BVP): Explicit method example |
| exs92.f | 624-625 | BVP: Implicit method example |
| exs93.f | 632-633 | Finite difference method |
| ex3s96.f | 657 | BVP: Method of characteristics |
| mgrid1.f | 668-669 | Multigrid method example |
| exs98.f | 670 | Damping of errors |
| mgrid2.f | 674-675 | Multigrid method V-cycle |
Numerical Analysis Pdf
The sample Fortran programs listed above can be found at the following anonymous ftp site:
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