Struct tiny_solver::gauss_newton_optimizer::GaussNewtonOptimizer

pub struct GaussNewtonOptimizer {}

Implementations

impl GaussNewtonOptimizer

pub fn new() -> Self

pub fn optimize_py( &self, py: Python<'_>, problem: &Problem, initial_values: &PyDict ) -> PyResult<HashMap<String, Py<PyArray2<f64>>>>

Trait Implementations

impl Clone for GaussNewtonOptimizer

fn clone(&self) -> GaussNewtonOptimizer

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GaussNewtonOptimizer

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl IntoPy<Py<PyAny>> for GaussNewtonOptimizer

fn into_py(self, py: Python<'_>) -> PyObject

Performs the conversion.

impl Optimizer for GaussNewtonOptimizer

fn optimize( &self, problem: &Problem, initial_values: &HashMap<String, DVector<f64>> ) -> HashMap<String, DVector<f64>>

fn apply_dx( &self, dx: &DVector<f64>, params: &mut HashMap<String, DVector<f64>>, variable_name_to_col_idx_dict: &HashMap<String, usize> )

impl PyClass for GaussNewtonOptimizer

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for GaussNewtonOptimizer

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

type BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<GaussNewtonOptimizer>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn doc(py: Python<'_>) -> PyResult<&'static CStr>

Rendered class doc

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl PyClassNewTextSignature<GaussNewtonOptimizer> for PyClassImplCollector<GaussNewtonOptimizer>

fn new_text_signature(self) -> Option<&'static str>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a GaussNewtonOptimizer

type Holder = Option<PyRef<'py, GaussNewtonOptimizer>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a mut GaussNewtonOptimizer

type Holder = Option<PyRefMut<'py, GaussNewtonOptimizer>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl PyMethods<GaussNewtonOptimizer> for PyClassImplCollector<GaussNewtonOptimizer>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for GaussNewtonOptimizer

type AsRefTarget = PyCell<GaussNewtonOptimizer>

Utility type to make Py::as_ref work.

const NAME: &'static str = "GaussNewtonOptimizer"

Class name.

const MODULE: Option<&'static str> = ::core::option::Option::None

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> &PyType

Returns the safe abstraction over the type object.

fn is_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type.