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mma_optimizer::mma_optimizer_t Type Referenceabstract
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, max_iterations, tolerance) |
| Initialize the MMA optimizer from JSON file. | |
| generic | init (this, problem, design, simulation, max_iterations, tolerance) |
| Initialize the MMA optimizer from JSON file. | |
| procedure, pass(this) | init_from_json (this, parameters, problem, design, simulation, max_iterations, tolerance) |
| Initialize the MMA optimizer from JSON file. | |
| procedure, pass(this) | init_from_components (this, problem, design, simulation, max_iterations, tolerance) |
| Initialize the MMA optimizer from JSON file. | |
| procedure | run (this, problem, design, simulation) |
| Define the optimization loop for MMA. | |
| procedure | free (this) |
| procedure(optimizer_init_from_json), deferred, pass, public | init_from_json (this, parameters, problem, design, simulation, max_iterations, tolerance) |
| Initialize the optimizer, associate it with a specific problem. | |
| procedure(optimizer_run), deferred, pass, public | run (this, problem, design, simulation) |
| Run the optimization loop. | |
| procedure(optimizer_free), deferred, pass, public | free (this) |
| Free resources. | |
| procedure, pass(this) | init_base (this, max_iterations, tolerance) |
| The base initializer. | |
Public Attributes | |
| type(mma_t) | mma |
| real(kind=rp) | scale |
| Scaling constraint_valuex and constraint_sensitivitiesx. Note that the values are not updated but they are scaled when passed to the optimizer. (if auto_scale then constraint_valuex=scale else constraint_valuex=scale*constraint_valuex) When auto_scale is true, we use an adaptable scale for constraint_valuex and constraint_sensitivitiesx in every iteration (variable scale factors) | |
| logical | auto_scale |
| integer, public | max_iterations |
| The maximum number of iterations. | |
| real(kind=rp), public | tolerance |
| The tolerance for the optimization loop. | |
| type(csv_file_t), public | logger |
| A file writer to document the convergence history. | |
Detailed Description
Definition at line 40 of file mma_optimizer.f90.
Member Function/Subroutine Documentation
◆ free() [1/2]
| procedure mma_optimizer::mma_optimizer_t::free | ( | class(mma_optimizer_t), intent(inout) | this | ) |
Definition at line 62 of file mma_optimizer.f90.
◆ free() [2/2]
|
pure virtualinherited |
Definition at line 35 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(in) | problem, | ||
| class(design_t), intent(in) | design, | ||
| type(simulation_t), intent(in) | simulation, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance | ||
| ) |
Definition at line 56 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(in) | problem, | ||
| class(design_t), intent(in) | design, | ||
| type(simulation_t), intent(in) | simulation, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance | ||
| ) |
Definition at line 56 of file mma_optimizer.f90.
◆ init_base()
|
inherited |
- Parameters
-
object The optimizer object to be created. parameters The JSON file containing the optimizer parameters. problem The problem object. design The design object. simulation The simulation object. Base initializer for the optimizer this The optimizer object. max_iterations The maximum number of iterations. tolerance The tolerance for the optimization loop.
Definition at line 38 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(in) | problem, | ||
| class(design_t), intent(in) | design, | ||
| type(simulation_t), intent(in) | simulation, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance | ||
| ) |
Definition at line 58 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(in) | problem, | ||
| class(design_t), intent(in) | design, | ||
| type(simulation_t), intent(in) | simulation, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance | ||
| ) |
Definition at line 57 of file mma_optimizer.f90.
◆ init_from_json() [2/2]
|
pure virtualinherited |
Definition at line 30 of file optimizer.f90.
◆ run() [1/2]
| procedure mma_optimizer::mma_optimizer_t::run | ( | class(mma_optimizer_t), intent(inout) | this, |
| class(problem_t), intent(inout) | problem, | ||
| class(design_t), intent(inout) | design, | ||
| type(simulation_t), intent(inout) | simulation | ||
| ) |
Definition at line 61 of file mma_optimizer.f90.
◆ run() [2/2]
|
pure virtualinherited |
Definition at line 33 of file optimizer.f90.
Member Data Documentation
◆ auto_scale
| logical mma_optimizer::mma_optimizer_t::auto_scale |
Definition at line 51 of file mma_optimizer.f90.
◆ logger
Definition at line 26 of file optimizer.f90.
◆ max_iterations
Definition at line 22 of file optimizer.f90.
◆ mma
Definition at line 42 of file mma_optimizer.f90.
◆ scale
Definition at line 50 of file mma_optimizer.f90.
◆ tolerance
Definition at line 24 of file 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
