Gradient Search Cauchy Method

It is also known as Indirect search method or Steepest descent method,this method firstly found to Augustin Louis Cauchy in 1857.The method is used to solve optimization problems.

1. Gradient Search cauchy’s method Name- Anuja Joshi M.E(CADME) Roll no.- 561006

2. Multivariable optimization methods The multi-variable optimization methods deal with the optimization of multivariable design Similar to the single variable optimization , the multi- variable optimization methods are also classified into two categories:

3. Steps involved in Study Working Rules Procedural Steps Examples

4. Gradient based search method They are also known as Indirect search method or descent method

5. Direction of Gradient

6. Cauchy’s method(Steepest descent) Augustin Louis Cauchy, 1789–1857 Cauchy was the first to make a use of negative gradient direction in 1857 for minimization problem. In this method , an initial trial point X1 is chosen , which is iteratively move along the steepest descent direction until the optimum point

7. Working Rules Procedural Steps

8. Examples