teaching:methcalchim:root-finding_algorithm

Différences

Ci-dessous, les différences entre deux révisions de la page.

Lien vers cette vue comparative

teaching:methcalchim:root-finding_algorithm [2018/10/19 09:37] – créée villersdteaching:methcalchim:root-finding_algorithm [2018/10/19 09:58] (Version actuelle) villersd
Ligne 1: Ligne 1:
 ====== Root findings : equations f(x) = 0 ====== ====== Root findings : equations f(x) = 0 ======
  
 +<note tip>
 +Algorithm used to find roots of an equation use iterations, and a numerical criterion to accept a solution when a sufficiently accurate value is reached. The rate of convergence depends on the used method and the function f(x). Some methods (Newton-Raphson) need the derivative of the function f(x).
 +</note>
  
   * Polynomial equations : [[wp>Bairstow's_method|Bairstow's method]] is an efficient algorithm for finding the roots of a real polynomial of arbitrary degree   * Polynomial equations : [[wp>Bairstow's_method|Bairstow's method]] is an efficient algorithm for finding the roots of a real polynomial of arbitrary degree
Ligne 9: Ligne 12:
   * [[wp>False_position_method|Regula falsi]] (retains the points which preserve bracketing)   * [[wp>False_position_method|Regula falsi]] (retains the points which preserve bracketing)
   * [[wp>Newton's_method|Newton-Raphson method]]   * [[wp>Newton's_method|Newton-Raphson method]]
 +  * Chapter 9 in the book "Numerical Recipes" : Root finding an nonlinear sets of equations
 +    * 9.0 Introduction
 +    * 9.1 Bracketing and Bisection
 +    * 9.2 Secant Method, False Position Method, and Ridders' Method
 +    * 9.4 Newton-Raphson Method Using Derivative
 +    * 9.5 Roots of Polynomials
 +  * Python [[https://docs.scipy.org/doc/numpy/|NumPy]] library : [[https://docs.scipy.org/doc/scipy/reference/|SciPy Reference]]
 +    * [[https://docs.scipy.org/doc/scipy/reference/tutorial/optimize.html|scipy.optimize]] package (root)
  
 +===== Applications =====
 +  * ...
  
 +===== Références =====
 +  * Numerical recipes, The Art of Scientific Computing 3rd Edition, William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery, 2007, isbn: 9780521880688
 +    * [[http://numerical.recipes/]]
 +      * in C : [[http://apps.nrbook.com/c/index.html]]
 +    * [[http://www2.units.it/ipl/students_area/imm2/files/Numerical_Recipes.pdf]], p 347...
 +    * [[http://apps.nrbook.com/empanel/index.html#]]
 +      * Chapter 9 : Root finding an nonlinear sets of equations 
  • teaching/methcalchim/root-finding_algorithm.txt
  • Dernière modification : 2018/10/19 09:58
  • de villersd