Installation and Setup of NonlinearOptimizationTestFunctions.jl

The installation of the package is straightforward and is managed via the integrated Julia Package Manager (Pkg).

1. Launching the Julia REPL

First, open a Julia session (REPL).

2. Standard Installation

You have two options for installing the package. Both methods result in the same compilation and setup:

Option A: Using Pkg Mode

Switch to Pkg mode by pressing the ] key in the Julia REPL. Then, use the add command:

julia> ]
(@v1.10) pkg> add NonlinearOptimizationTestFunctions

Option B: Using Julia Mode

Execute the following commands in the regular Julia REPL:

julia> using Pkg
julia> Pkg.add("NonlinearOptimizationTestFunctions")

The Pkg.add command automatically downloads and compiles the package and all necessary dependencies (such as LinearAlgebra or ForwardDiff).

3. Usage in the REPL

After installation, you can load the package and use it immediately:

julia> using NonlinearOptimizationTestFunctions

# Example: Call the Eggholder function at point (0, 0)
julia> eggholder([0.0, 0.0])
263.8569584730635

4. Installation of Additional Packages (Optional)

Many of the project's examples and benchmarks utilize external optimization frameworks. To leverage the package's full functionality and run the provided examples (like benchmark_three_nm.jl or Optimize_with_nlopt.jl), you must manually add these solvers.

The most important supported packages are:

Recommendation for Benchmarks:

julia> Pkg.add(["Optim", "NLopt", "Optimization"])

5. Updating

To keep the package and its dependencies up-to-date, you can use the update command in Pkg mode at any time:

julia> ] # Switches to Pkg mode
(@v1.10) pkg> update