From c7035e02e586dee660a78ea4fd18c2ae3b1f2c7b Mon Sep 17 00:00:00 2001 From: Aero-Spec Date: Sun, 22 Sep 2024 14:16:45 -0400 Subject: [PATCH] Update index.md - Tim's Requested Changes --- docs/src/index.md | 13 +------------ 1 file changed, 1 insertion(+), 12 deletions(-) diff --git a/docs/src/index.md b/docs/src/index.md index 9a688b7..7076064 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -10,18 +10,7 @@ **DividedRectangles.jl** provides an implementation of the DIRECT (DIvided RECTangles) [algorithm for global optimization](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Lipschitzian+optimization+without+the+Lipschitz+constant&btnG=). The DIRECT algorithm is particularly useful for optimizing functions where the Lipschitz constant is unknown. This package allows users to perform both univariate and multivariate optimization efficiently. --- - -Example Objective Function: -As an example of an objective function, consider: - -```julia -f(x) = dot(coeffs, x) -``` -where: -- `x`: represents the variables. -- `coeffs`: represents the coefficients corresponding to each variable. - -This is just one possible objective function that could be optimized using the DIRECT algorithm. The algorithm works by dividing the search space into smaller rectangles and evaluating the function at specific points within these rectangles to find the optimal solution. +![page_11](https://github.com/user-attachments/assets/b833bedd-41aa-40c5-a27f-26188a171797) ---