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SparseMatrix

Struct SparseMatrix 

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pub struct SparseMatrix {
    pub rows: usize,
    pub cols: usize,
    pub row_ptr: Vec<usize>,
    pub col_idx: Vec<usize>,
    pub values: Vec<f64>,
}

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§rows: usize§cols: usize§row_ptr: Vec<usize>§col_idx: Vec<usize>§values: Vec<f64>

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impl SparseMatrix

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pub fn new(rows: usize, cols: usize) -> SparseMatrix

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pub fn from_triplets( rows: usize, cols: usize, triplets: &mut [(usize, usize, f64)], ) -> SparseMatrix

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pub fn identity(n: usize) -> SparseMatrix

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pub fn nnz(&self) -> usize

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pub fn get(&self, row: usize, col: usize) -> f64

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pub fn mul_vec(&self, x: &[f64]) -> Vec<f64>

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pub fn transpose(&self) -> SparseMatrix

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pub fn add(&self, other: &SparseMatrix) -> SparseMatrix

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pub fn scale(&self, s: f64) -> SparseMatrix

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pub fn matmul(&self, other: &SparseMatrix) -> SparseMatrix

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pub fn diagonal(&self) -> Vec<f64>

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pub fn frobenius_norm(&self) -> f64

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pub fn to_dense(&self) -> Vec<Vec<f64>>

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impl Add for &SparseMatrix

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type Output = SparseMatrix

The resulting type after applying the + operator.
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fn add(self, rhs: &SparseMatrix) -> SparseMatrix

Performs the + operation. Read more
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impl Clone for SparseMatrix

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fn clone(&self) -> SparseMatrix

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for SparseMatrix

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

Formats the value using the given formatter. Read more
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impl Display for SparseMatrix

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

Formats the value using the given formatter. Read more
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impl Mul<f64> for &SparseMatrix

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type Output = SparseMatrix

The resulting type after applying the * operator.
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fn mul(self, s: f64) -> SparseMatrix

Performs the * operation. Read more
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impl Mul for &SparseMatrix

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type Output = SparseMatrix

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseMatrix) -> SparseMatrix

Performs the * operation. Read more
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impl Neg for &SparseMatrix

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type Output = SparseMatrix

The resulting type after applying the - operator.
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fn neg(self) -> SparseMatrix

Performs the unary - operation. Read more
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impl Sub for &SparseMatrix

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type Output = SparseMatrix

The resulting type after applying the - operator.
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fn sub(self, rhs: &SparseMatrix) -> SparseMatrix

Performs the - operation. Read more

Auto Trait Implementations§

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T> ToString for T
where T: Display + ?Sized,

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fn to_string(&self) -> String

Converts the given value to a String. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.