Add maximize

[tmigot]

No description provided.

[Jay-sanjay]

@tmigot Hello sir , can someone tell me where do I need to add the maximize.

[tmigot]

The idea was to add a maximize similar to the minimize function. The main difference is when instantiating the NLPModel you would have to make sure that the attribute meta.minimize is set to false.

[Jay-sanjay]

@tmigot sir when I search for minimize, I am getting several hits .
Do I need to add the maximize function only here

JSOSuite.jl/src/solve.jl

Lines 1 to 64 in 653202a

	function minimize(
	nlp::AbstractNLPModel;
	verbose = 1,
	highest_derivative_available::Integer = 2,
	kwargs...,
	)
	select = select_optimizers(nlp, verbose, highest_derivative_available)
	(verbose ≥ 1) && println("Solve using $(first(select).name):")
	solver = first(select)
	return minimize(Val(Symbol(solver.name)), nlp; verbose = verbose, kwargs...)
	end
	function minimize(
	nlp::AbstractNLSModel;
	verbose = 1,
	highest_derivative_available::Integer = 2,
	kwargs...,
	)
	select = select_optimizers(nlp, verbose, highest_derivative_available)
	nls_select = select[select.specialized_nls, :]
	solver = if !isempty(nls_select)
	first(nls_select)
	else
	first(select)
	end
	(verbose ≥ 1) && println("Solve using $(solver.name):")
	return minimize(Val(Symbol(solver.name)), nlp; verbose = verbose, kwargs...)
	end
	function minimize(solver_name::String, nlp; kwargs...)
	solver = optimizers[optimizers.name .== solver_name, :]
	if isempty(solver)
	@warn "$(solver_name) does not exist."
	return GenericExecutionStats(nlp)
	end
	return minimize(Val(Symbol(solver_name)), nlp; kwargs...)
	end
	function throw_error_solve(solver::Symbol)
	solver_pkg = optimizers[optimizers.name .== string(solver), :name_pkg]
	if isempty(solver_pkg)
	str = "$solver does not exist."
	else
	solver_pkg = replace(solver_pkg[1], ".jl" => "")
	str = "$solver solver package needs to be loaded, please run `using $(solver_pkg)`."
	end
	return throw(ArgumentError(str))
	end
	function minimize(::Val{solver_name}, nlp; kwargs...) where {solver_name}
	solver = optimizers[optimizers.name .== string(solver_name), :]
	if !is_available(solver_name)
	throw_error_solve(solver_name)
	end
	return eval(solver.solve_function[1])(nlp; kwargs...)
	end
	function is_available(solver::Symbol)
	solver_isa = optimizers[optimizers.name .== string(solver), :is_available]
	if solver_isa == []
	return false
	end
	return solver_isa[1]
	end

or any where else also

[abelsiqueira]

Hi @Jay-sanjay, it is best to leave this one for a while.