- Fortran Program For Secant Method Numerical Expressions
- Secant Method Calculator
- Fortran Program For Secant Method Numerical Formula
- Fortran Program For Secant Method Numerical Analysis
Note also that the secant method can be considered an approximation of the Newton method xn+1 = xnā f(xn) f0(xn) by using the approximation f0(xn) ā f(xn. Secant Method Vba Code. ROOTS OF A REAL FUNCTION IN FORTRAN 90 ROOTS OF A REAL FUNCTION IN FORTRAN 90 Choose a source program (.f90) by clicking the appropriate button. Fortran Numerical Analysis Programs. = 3 x + sin x ā e x using Secant method in the interval. Write a Fortran program to find first derivation of the.: Orthogonal polynomials generator. The most basic problem in Numerical Analysis (methods) is the root-finding problem. For a given function f (x), the process of finding the root involves. Fortran 90 has many new features that make it a modern and robust language for numerical programming. In addition to providing many new language con-structs, Fortran 90 contains Fortran 77 as a subset (except for four small in-consistencies). Consequently, all Fortran 77 programs can be compiled and should produce identical results.
Fortran Program For Secant Method Numerical Expressions
Click on the program name to display the source code, which can be downloaded. 'Secant Method Calculator
| Chapter 1: Mathematical Preliminaries and Floating-Point Representation | ||
| first.f | First programming experiment | |
| pi.f | Simple code to illustrate double precision | |
| xsinx.f | Example of programming f(x) = x - sinx carefully | |
| Chapter 2: Linear Systems | ||
| ngauss.f | Naive Gaussian elimination to solve linear systems | |
| gauss.f | Gaussian elimination with scaled partial pivoting | |
| tri_penta.f | Solves tridiagonal systems | |
| Chapter 3: Locating Roots of Equations | ||
| bisect1.f | Bisection method (versin 1) | |
| bisect2.f | Bisection method (version 2) | |
| newton.f | Sample Newton method | |
| ` secant.f | Secant method | |
| Chapter 4: Interpolation and Numerical Differentiation | ||
| coef.f | Newton interpolation polynomial at equidistant pts | |
| deriv.f | Derivative by center differences/Richardson extrapolation | |
| Chapter 5: Numerical Integration | ||
| sums.f | Upper/lower sums experiment for an integral | |
| trapezoid.f | Trapezoid rule experiment for an integral | |
| romberg.f | Romberg arrays for three separate functions | |
| rec_simpson.f | Adaptive scheme for Simpson's rule | |
| Chapter 6: Spline Functions | ||
| spline1.f | Interpolates table using a first-degree spline function | |
| spline3.f | Natural cubic spline function at equidistant points | |
| bspline2.f | Interpolates table using a quadratic B-spline function | |
| schoenberg.f | Interpolates table using Schoenberg's process | |
| Chapter 7: Initial Values Problems | ||
| euler.f | Euler's method for solving an ODE | |
| taylor.f | Taylor series method (order 4) for solving an ODE | |
| rk4.f | Runge-Kutta method (order 4) for solving an IVP | |
| rk45.f | Runge-Kutta-Fehlberg method for solving an IVP | |
| rk45ad.f | Adaptive Runge-Kutta-Fehlberg method | |
| taylorsys.f | Taylor series method (order 4) for systems of ODEs | |
| rk4sys.f | Runge-Kutta method (order 4) for systems of ODEs | |
| amrk.f | Adams-Moulton method for systems of ODEs | |
| amrkad.f | Adaptive Adams-Moulton method for systems of ODEs | |
| Chapter 8: More on Systems of Linear Equations | ||
| Chapter 9: Least Squares Methods | ||
| Chapter 10: Monte Carlo Methods and Simulation | ||
| test_random.f | Example to compute, store, and print random numbers | |
| coarse_check.f | Coarse check on the random-number generator | |
| double_integral.f | Volume of a complicated 3D region by Monte Carlo | |
| volume_region.f | Numerical value of integral over a 2D disk by Monte Carlo | |
| cone.f | Ice cream cone example | |
| loaded_die.f | Loaded die problem simulation | |
| birthday.f | Birthday problem simulation | |
| needle.f | Buffon's needle problem simulation | |
| two_die.f | Two dice problem simulation | |
| shielding.f | Neutron shielding problem simulation | |
| Chapter 11: Boundary Value Problems | ||
| bvp1.f | Boundary value problem solved by discretization technique | |
| bvp2.f | Boundary value problem solved by shooting method | |
| Chapter 13: Partial Differential Equations | ||
| parabolic1.f | Parabolic partial differential equation problem | |
| parabolic2.f | Parabolic PDE problem solved by Crank-Nicolson method | |
| hyperbolic.f | Hyperbolic PDE problem solved by discretization | |
| seidel.f | Elliptic PDE solved by discretization/ Gauss-Seidel method | |
| Chapter 13: Minimization of Functions | ||
| Chapter 14: Linear Programming Problems | ||
Addditional programs can be found at the textbook's anonymous ftp site:
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Fortran Program For Secant Method Numerical Formula
Fortran Program For Secant Method Numerical Analysis
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