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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, max_iterations, tolerance, simulation) |
| Initialize the MMA optimizer from JSON file. | |
| generic | init (this, problem, design, max_iterations, tolerance, simulation) |
| Initialize the MMA optimizer from JSON file. | |
| procedure, pass(this) | init_from_json (this, parameters, problem, design, max_iterations, tolerance, simulation) |
| Initialize the MMA optimizer from JSON file. | |
| procedure, pass(this) | init_from_components (this, problem, design, max_iterations, tolerance, simulation) |
| 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, max_iterations, tolerance, simulation) |
| 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 39 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 61 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, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance, | ||
| type(simulation_t), intent(in), optional | simulation | ||
| ) |
Definition at line 55 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, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance, | ||
| type(simulation_t), intent(in), optional | simulation | ||
| ) |
Definition at line 55 of file mma_optimizer.f90.
◆ init_base()
|
inherited |
- Parameters
-
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, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance, | ||
| type(simulation_t), intent(in), optional | simulation | ||
| ) |
Definition at line 57 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, | ||
| integer, intent(in) | max_iterations, | ||
| real(kind=rp), intent(in) | tolerance, | ||
| type(simulation_t), intent(in), optional | simulation | ||
| ) |
Definition at line 56 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), optional | simulation | ||
| ) |
Definition at line 60 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 50 of file mma_optimizer.f90.
◆ logger
|
inherited |
Definition at line 26 of file optimizer.f90.
◆ max_iterations
|
inherited |
Definition at line 22 of file optimizer.f90.
◆ mma
| type(mma_t) mma_optimizer::mma_optimizer_t::mma |
Definition at line 41 of file mma_optimizer.f90.
◆ scale
| real(kind=rp) mma_optimizer::mma_optimizer_t::scale |
Definition at line 49 of file mma_optimizer.f90.
◆ tolerance
|
inherited |
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
