Enum opensrdk_symbolic_computation::expression::tensor_expression::TensorExpression

pub enum TensorExpression {
    Symbol(String, Vec<Size>),
    Constant(SparseTensor<f64>),
    Zero,
    Add(Box<TensorExpression>, Box<TensorExpression>),
    Sub(Box<TensorExpression>, Box<TensorExpression>),
    MulScalarLhs(Box<Expression>, Box<TensorExpression>),
    MulScalarRhs(Box<TensorExpression>, Box<Expression>),
    Neg(Box<TensorExpression>),
    KroneckerDeltas(Vec<[usize; 2]>),
    InnerProd {
        terms: Vec<TensorExpression>,
        rank_combinations: Vec<HashMap<usize, String>>,
    },
}

Variants

Symbol(String, Vec<Size>)

Constant(SparseTensor<f64>)

Zero

Add(Box<TensorExpression>, Box<TensorExpression>)

Sub(Box<TensorExpression>, Box<TensorExpression>)

MulScalarLhs(Box<Expression>, Box<TensorExpression>)

MulScalarRhs(Box<TensorExpression>, Box<Expression>)

Neg(Box<TensorExpression>)

KroneckerDeltas(Vec<[usize; 2]>)

InnerProd

Fields

terms: Vec<TensorExpression>

rank_combinations: Vec<HashMap<usize, String>>

Implementations

impl TensorExpression

pub fn assign(&self, values: &HashMap<&str, Value>) -> TensorExpression

impl TensorExpression

pub fn differential(&self, symbols: &[&str]) -> Vec<TensorExpression>

impl TensorExpression

pub fn inner_prod(self, rhs: TensorExpression, rank_pairs: &[[usize; 2]]) -> Self

impl TensorExpression

pub fn not_1dimension_ranks_in_inner_prod( terms: &Vec<TensorExpression>, rank_combinations: &Vec<HashMap<usize, String>> ) -> HashMap<usize, usize>

impl TensorExpression

pub fn rust_code(&self) -> String

impl TensorExpression

pub fn is_same_size(&self, other: &TensorExpression) -> bool

pub fn sizes(&self) -> Vec<Size>

impl TensorExpression

pub fn symbols(&self) -> HashSet<String>

impl TensorExpression

pub fn tex_code(&self) -> String

impl TensorExpression

pub fn as_scalar(self) -> Expression

Trait Implementations

impl Add<TensorExpression> for TensorExpression

type Output = TensorExpression

The resulting type after applying the + operator.

fn add(self, rhs: TensorExpression) -> Self::Output

Performs the + operation.

impl Clone for TensorExpression

fn clone(&self) -> TensorExpression

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TensorExpression

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

Formats the value using the given formatter.

impl Mul<Expression> for TensorExpression

type Output = TensorExpression

The resulting type after applying the * operator.

fn mul(self, rhs: Expression) -> Self::Output

Performs the * operation.

impl Mul<TensorExpression> for Expression

type Output = TensorExpression

The resulting type after applying the * operator.

fn mul(self, rhs: TensorExpression) -> Self::Output

Performs the * operation.

impl Mul<TensorExpression> for f64

type Output = TensorExpression

The resulting type after applying the * operator.

fn mul(self, rhs: TensorExpression) -> Self::Output

Performs the * operation.

impl Mul<f64> for TensorExpression

type Output = TensorExpression

The resulting type after applying the * operator.

fn mul(self, rhs: f64) -> Self::Output

Performs the * operation.

impl Neg for TensorExpression

type Output = TensorExpression

The resulting type after applying the - operator.

fn neg(self) -> Self::Output

Performs the unary - operation.

impl PartialEq<TensorExpression> for TensorExpression

fn eq(&self, other: &TensorExpression) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Sub<TensorExpression> for TensorExpression

type Output = TensorExpression

The resulting type after applying the - operator.

fn sub(self, rhs: TensorExpression) -> Self::Output

Performs the - operation.

impl StructuralPartialEq for TensorExpression