Inheritance diagram for mma_optimizer::mma_optimizer_t:

Collaboration diagram for mma_optimizer::mma_optimizer_t:

Public Member Functions
generic	init (this, parameters, problem, design, simulation)
	Initialize the MMA optimizer from JSON file.

generic	init (this, problem, design, max_iterations, tolerance, enable_output, solver_parameters, simulation, max_runtime)
	Initialize the MMA optimizer from JSON file.

procedure, pass(this)	init_from_json (this, parameters, problem, design, simulation)
	Initialize the MMA optimizer from JSON file.

procedure, pass(this)	init_from_components (this, problem, design, max_iterations, tolerance, enable_output, solver_parameters, simulation, max_runtime)
	Initialize the MMA optimizer from JSON file.

procedure, pass(this)	initialize (this, problem, design, simulation)
	Prepare the MMA optimizer before starting the optimization loop.

procedure, pass(this)	step (this, iter, problem, design, simulation)
	Function for computing a step in the optimization loop.

procedure, pass(this)	validate (this, problem, design)
	Validate the solution for the MMA optimizer.

procedure, pass(this)	write (this, iter, problem)
	Write the progress of the MMA optimizer to the log file This subroutine logs the current iteration, objective values, constraint values, and convergence metrics to a CSV file.

procedure, pass(this)	free (this)

procedure, pass(this)	save_checkpoint_components (this, filename, overwrite)
	Save the MMA optimizer-specific checkpoint data.

procedure, pass(this)	load_checkpoint_components (this, filename)
	Restore the MMA optimizer-specific checkpoint data.

procedure(optimizer_init_from_json), deferred, pass, public	init_from_json (this, parameters, problem, design, simulation)
	Initialize the optimizer, associate it with a specific problem.

procedure(optimizer_free), deferred, pass, public	free (this)
	Free resources.

procedure(optimizer_initialize), deferred, pass, public	initialize (this, problem, design, simulation)
	Prepare the optimizer before starting the optimization loop.

procedure(optimizer_step), deferred, pass, public	step (this, iter, problem, design, simulation)
	Perform a single optimization step.

procedure(optimizer_validate), deferred, pass, public	validate (this, problem, design)
	Validate the solution.

procedure(optimizer_write), deferred, pass, public	write (this, iter, problem)
	Write the progress of the optimizer to the log file.

procedure(optimizer_save_checkpoint_components), deferred, pass	save_checkpoint_components (this, filename, overwrite)
	Save optimizer-specific components to checkpoint.

procedure(optimizer_load_checkpoint_components), deferred, pass	load_checkpoint_components (this, filename)
	Load optimizer-specific components from checkpoint.

procedure, pass(this)	save_checkpoint (this, filename, iter, design, overwrite)
	Save a checkpoint of the optimizer state.

procedure, pass(this)	load_checkpoint (this, filename, iter, design)
	Restore the optimizer state from a checkpoint.

procedure, pass, public	run (this, problem, design, simulation)
	Run the optimization loop.

procedure, pass(this)	init_base (this, optimizer_type, max_iterations, max_runtime)
	The base initializer.

procedure, pass(this)	free_base (this)
	Free base resources.

procedure, pass(this)	print_status (this, stop_flag, iter)
	Print status message.

procedure, pass(this)	out_of_time (this, step_time)
	Estimate if we are out of time.

Public Attributes
real(kind=rp)	tolerance = 0.0_rp

Detailed Description

Definition at line 69 of file mma_optimizer.f90.

Member Function/Subroutine Documentation

◆ free() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::free ( class(mma_optimizer_t), intent(inout) this )

Definition at line 102 of file mma_optimizer.f90.

◆ free() [2/2]

procedure(optimizer_free), deferred, pass, public optimizer::optimizer_t::free ( class(optimizer_t), intent(inout) this )

pure virtualinherited

Definition at line 80 of file optimizer.f90.

◆ free_base()

procedure, pass(this) optimizer::optimizer_t::free_base ( class(optimizer_t), intent(inout) this )

inherited

Parameters

this	The optimizer object.

Definition at line 115 of file optimizer.f90.

◆ init() [1/2]

generic mma_optimizer::mma_optimizer_t::init	(	class(mma_optimizer_t), intent(inout)	this,
		type(json_file), intent(inout)	parameters,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(in)	design,
		type(simulation_t), intent(in), optional	simulation
	)

Definition at line 93 of file mma_optimizer.f90.

◆ init() [2/2]

generic mma_optimizer::mma_optimizer_t::init	(	class(mma_optimizer_t), intent(inout)	this,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(in)	design,
		integer, intent(in)	max_iterations,
		real(kind=rp), intent(in)	tolerance,
		logical, intent(in)	enable_output,
		type(json_file), intent(inout), optional	solver_parameters,
		type(simulation_t), intent(in), optional	simulation,
		real(kind=rp), intent(in), optional	max_runtime
	)

Definition at line 93 of file mma_optimizer.f90.

◆ init_base()

procedure, pass(this) optimizer::optimizer_t::init_base	(	class(optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	optimizer_type,
		integer, intent(in)	max_iterations,
		real(kind=rp), intent(in), optional	max_runtime
	)

inherited

Interface for reading a checkpoint Base initializer for the optimizer

Parameters

this	The optimizer object.
optimizer_type	The type of the optimizer.
max_iterations	The maximum number of iterations.
max_runtime	The maximum runtime in seconds.

Definition at line 113 of file optimizer.f90.

◆ init_from_components()

procedure, pass(this) mma_optimizer::mma_optimizer_t::init_from_components	(	class(mma_optimizer_t), intent(inout)	this,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(in)	design,
		integer, intent(in)	max_iterations,
		real(kind=rp), intent(in)	tolerance,
		logical, intent(in)	enable_output,
		type(json_file), intent(inout), optional	solver_parameters,
		type(simulation_t), intent(in), optional	simulation,
		real(kind=rp), intent(in), optional	max_runtime
	)

Definition at line 95 of file mma_optimizer.f90.

◆ init_from_json() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::init_from_json	(	class(mma_optimizer_t), intent(inout)	this,
		type(json_file), intent(inout)	parameters,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(in)	design,
		type(simulation_t), intent(in), optional	simulation
	)

Definition at line 94 of file mma_optimizer.f90.

◆ init_from_json() [2/2]

procedure(optimizer_init_from_json), deferred, pass, public optimizer::optimizer_t::init_from_json	(	class(optimizer_t), intent(inout)	this,
		type(json_file), intent(inout)	parameters,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(in)	design,
		type(simulation_t), intent(in), optional	simulation
	)

pure virtualinherited

Definition at line 77 of file optimizer.f90.

◆ initialize() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::initialize	(	class(mma_optimizer_t), intent(inout)	this,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(inout)	design,
		type(simulation_t), intent(inout), optional	simulation
	)

Definition at line 98 of file mma_optimizer.f90.

◆ initialize() [2/2]

procedure(optimizer_initialize), deferred, pass, public optimizer::optimizer_t::initialize	(	class(optimizer_t), intent(inout)	this,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(inout)	design,
		type(simulation_t), intent(inout), optional	simulation
	)

pure virtualinherited

Definition at line 83 of file optimizer.f90.

◆ load_checkpoint()

procedure, pass(this) optimizer::optimizer_t::load_checkpoint	(	class(optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	filename,
		integer, intent(out)	iter,
		class(design_t), intent(inout)	design
	)

inherited

Parameters

this	The optimizer object.
filename	The name of the file to load the checkpoint from.
iter	The current iteration number.
design	The design object.

Definition at line 101 of file optimizer.f90.

◆ load_checkpoint_components() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::load_checkpoint_components	(	class(mma_optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	filename
	)

Definition at line 106 of file mma_optimizer.f90.

◆ load_checkpoint_components() [2/2]

procedure(optimizer_load_checkpoint_components), deferred, pass optimizer::optimizer_t::load_checkpoint_components	(	class(optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	filename
	)

pure virtualinherited

Definition at line 95 of file optimizer.f90.

◆ out_of_time()

procedure, pass(this) optimizer::optimizer_t::out_of_time	(	class(optimizer_t), intent(inout)	this,
		real(kind=rp), intent(in)	step_time
	)

inherited

Parameters

this	The optimizer object.
step_time	The time taken for the latest iteration.

Returns: out_of_time Logical indicating if we are out of time.

Definition at line 119 of file optimizer.f90.

◆ print_status()

procedure, pass(this) optimizer::optimizer_t::print_status	(	class(optimizer_t), intent(in)	this,
		integer, intent(in)	stop_flag,
		integer, intent(in)	iter
	)

inherited

Parameters

this	The optimizer object.
stop_flag	The stopping flag.
iter	The number of iterations performed.

Definition at line 117 of file optimizer.f90.

◆ run()

procedure, pass, public optimizer::optimizer_t::run	(	class(optimizer_t), intent(inout)	this,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(inout)	design,
		type(simulation_t), intent(inout), optional	simulation
	)

inherited

The optimization loop can be terminated based on a maximum runtime. In this case, a cumulative average is used to determine if the next iteration would exceed the maximum runtime.

Parameters

this	The optimizer object.
problem	The problem object.
design	The design object.
simulation	The simulation object.

Definition at line 107 of file optimizer.f90.

◆ save_checkpoint()

procedure, pass(this) optimizer::optimizer_t::save_checkpoint	(	class(optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	filename,
		integer, intent(in)	iter,
		class(design_t), intent(inout)	design,
		logical, intent(in), optional	overwrite
	)

inherited

Parameters

this	The optimizer object.
filename	The name of the file to save the checkpoint.
iter	The current iteration number.
design	The design object.
overwrite	Whether to overwrite the file if it exists.

Definition at line 99 of file optimizer.f90.

◆ save_checkpoint_components() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::save_checkpoint_components	(	class(mma_optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	filename,
		logical, intent(in), optional	overwrite
	)

Definition at line 104 of file mma_optimizer.f90.

◆ save_checkpoint_components() [2/2]

procedure(optimizer_save_checkpoint_components), deferred, pass optimizer::optimizer_t::save_checkpoint_components	(	class(optimizer_t), intent(inout)	this,
		character(len=*), intent(in)	filename,
		logical, intent(in), optional	overwrite
	)

pure virtualinherited

Definition at line 92 of file optimizer.f90.

◆ step() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::step	(	class(mma_optimizer_t), intent(inout)	this,
		integer, intent(in)	iter,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(inout)	design,
		type(simulation_t), intent(inout), optional	simulation
	)

Definition at line 99 of file mma_optimizer.f90.

◆ step() [2/2]

procedure(optimizer_step), deferred, pass, public optimizer::optimizer_t::step	(	class(optimizer_t), intent(inout)	this,
		integer, intent(in)	iter,
		class(problem_t), intent(inout)	problem,
		class(design_t), intent(inout)	design,
		type(simulation_t), intent(inout), optional	simulation
	)

pure virtualinherited

Definition at line 85 of file optimizer.f90.

◆ validate() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::validate	(	class(mma_optimizer_t), intent(inout)	this,
		class(problem_t), intent(in)	problem,
		class(design_t), intent(in)	design
	)

Definition at line 100 of file mma_optimizer.f90.

◆ validate() [2/2]

procedure(optimizer_validate), deferred, pass, public optimizer::optimizer_t::validate	(	class(optimizer_t), intent(inout)	this,
		class(problem_t), intent(in)	problem,
		class(design_t), intent(in)	design
	)

pure virtualinherited

Definition at line 87 of file optimizer.f90.

◆ write() [1/2]

procedure, pass(this) mma_optimizer::mma_optimizer_t::write	(	class(mma_optimizer_t), intent(inout)	this,
		integer, intent(in)	iter,
		class(problem_t), intent(in)	problem
	)

Parameters

this	The MMA optimizer object.
iter	The current iteration number.
problem	The problem object.

Definition at line 101 of file mma_optimizer.f90.

◆ write() [2/2]

procedure(optimizer_write), deferred, pass, public optimizer::optimizer_t::write	(	class(optimizer_t), intent(inout)	this,
		integer, intent(in)	iter,
		class(problem_t), intent(in)	problem
	)

pure virtualinherited

Definition at line 90 of file optimizer.f90.

Member Data Documentation

◆ tolerance

real(kind=rp) mma_optimizer::mma_optimizer_t::tolerance = 0.0_rp

Definition at line 82 of file mma_optimizer.f90.

The documentation for this type was generated from the following file:

/home/runner/work/neko-top/neko-top/sources/optimizer/mma_optimizer.f90

Public Member Functions

Public Attributes

Detailed Description

Member Function/Subroutine Documentation

◆ free() [1/2]

◆ free() [2/2]

◆ free_base()

◆ init() [1/2]

◆ init() [2/2]

◆ init_base()

◆ init_from_components()

◆ init_from_json() [1/2]

◆ init_from_json() [2/2]

◆ initialize() [1/2]

◆ initialize() [2/2]

◆ load_checkpoint()

◆ load_checkpoint_components() [1/2]

◆ load_checkpoint_components() [2/2]

◆ out_of_time()

◆ print_status()

◆ run()

◆ save_checkpoint()

◆ save_checkpoint_components() [1/2]

◆ save_checkpoint_components() [2/2]

◆ step() [1/2]

◆ step() [2/2]

◆ validate() [1/2]

◆ validate() [2/2]

◆ write() [1/2]

◆ write() [2/2]

Member Data Documentation

◆ tolerance