class LA::Sparse::CSCMatrix(T)

Defined in:

matrix/sparse/cscmatrix.cr

Constructors

Class Method Summary

Instance Method Summary

Instance methods inherited from class LA::Sparse::Matrix(T)

==(other : Sparse::Matrix(T)) ==, add(m : DenseMatrix, *, alpha = 1, beta = 1) add, clone clone, dup dup, flags : MatrixFlags flags, flags=(flags : MatrixFlags) flags=, ncolumns : Int32 ncolumns, nonzeros : Int32 nonzeros, nrows : Int32 nrows, select(& : T -> Bool) select, select_index(& : Int32, Int32 -> Bool) select_index, to_dense to_dense, to_general to_general, tril(k = 0) tril, tril!(k = 0) tril!, triu(k = 0) triu, triu!(k = 0) triu!

Instance methods inherited from class LA::Matrix(T)

*(k : Number)
*(k : Complex)
*(m : Matrix(T)) *, **(other : Int) **, +(k : Number)
+(k : Complex)
+(m : Matrix(T)) +, -(k : Number | Complex)
-(m : Matrix(T))
- -, /(k : Number | Complex) /, ==(other) ==, [](i : Int32, j : Int32)
[](arows : Range(Int32 | Nil, Int32 | Nil), acolumns : Range(Int32 | Nil, Int32 | Nil))
[](row : Int32, acolumns : Range(Int32 | Nil, Int32 | Nil))
[](arows : Range(Int32 | Nil, Int32 | Nil), column : Int32) [], []=(i : Int32, j : Int32, value)
[]=(arows : Range(Int32, Int32), acolumns : Range(Int32, Int32), value)
[]=(row : Int32, acolumns : Range(Int32, Int32), value)
[]=(nrows : Range(Int32, Int32), column : Int32, value) []=, add(m : Matrix, *, alpha = 1, beta = 1) add, add!(k : Number, m : Matrix) add!, almost_eq(other : Matrix(T), eps)
almost_eq(other : Matrix(T)) almost_eq, assume!(flag : MatrixFlags, value : Bool = true) assume!, balance(*, permute = true, scale = true, separate = false) balance, cat(other : Matrix(T), axis : Axis) cat, cholesky(*, lower = false, dont_clean = false) cholesky, chop(eps = self.tolerance) chop, clear_flags clear_flags, columns columns, conjt conjt, conjt! conjt!, conjtranspose conjtranspose, coshm coshm, cosm cosm, det det, detect(aflags : MatrixFlags = MatrixFlags::All, eps = tolerance) detect, detect?(aflags : MatrixFlags = MatrixFlags::All, eps = tolerance) detect?, diag(offset = 0) diag, each(*, all = false, &) each, each_index(*, all = false, &) each_index, each_lower(*, diagonal = true, all = false, &) each_lower, each_upper(*, diagonal = true, all = false, &) each_upper, each_with_index(*, all = false, &) each_with_index, eigs(*, left = false)
eigs(*, need_left : Bool, need_right : Bool)
eigs(*, b : self, need_left = false, need_right = false) eigs, eigvals eigvals, flags : MatrixFlags flags, hcat(other) hcat, hessenberg
hessenberg(*, calc_q = false) hessenberg, inspect(io) inspect, inv inv, kron(b : Matrix(T)) kron, lq lq, lq_r lq_r, lu lu, lu_factor : LUMatrix(T) lu_factor, map(&) map, map!(&) map!, map_with_index(&) map_with_index, map_with_index!(&) map_with_index!, max(axis : Axis) max, min(axis : Axis) min, ncolumns : Int32 ncolumns, norm(kind : MatrixNorm = MatrixNorm::Frobenius) norm, nrows : Int32 nrows, pinv pinv, product(axis : Axis) product, ql ql, ql_r ql_r, qr(*, pivoting = false) qr, qr_r(*, pivoting = false) qr_r, qr_raw(*, pivoting = false) qr_raw, qz(b : self) qz, reduce(axis : Axis, initial, &) reduce, repmat(arows, acolumns) repmat, rows rows, rq rq, rq_r rq_r, save_csv(filename) save_csv, scale!(k : Number | Complex) scale!, schur schur, shape shape, shape_str shape_str, sinhm sinhm, sinm sinm, size : Tuple(Int32, Int32) size, solve(b : self)
solve(b : GeneralMatrix(T), *, overwrite_b = false) solve, square? square?, sum(axis : Axis) sum, svd svd, svdvals svdvals, t t, t! t!, tanhm tanhm, tanm tanm, to_custom(io, prefix, columns_separator, rows_separator, postfix)
to_custom(prefix, columns_separator, rows_separator, postfix) to_custom, to_general to_general, to_imag to_imag, to_matlab(io)
to_matlab to_matlab, to_real to_real, to_s(io) to_s, to_unsafe to_unsafe, tolerance tolerance, trace trace, transpose transpose, tril(k = 0) tril, tril!(k = 0) tril!, triu(k = 0) triu, triu!(k = 0) triu!, vcat(other) vcat

Class methods inherited from class LA::Matrix(T)

arange(start_val : T, end_val : T, delta = 1.0) arange, block_diag(*args) block_diag, circulant(c) circulant, column(values) column, companion(a) companion, dft(n, scale : DFTScale = DFTScale::None) dft, diag(nrows, ncolumns, value : Number | Complex)
diag(nrows, ncolumns, values)
diag(values)
diag(nrows, ncolumns, &) diag, eye(n) eye, fiedler(values) fiedler, from_custom(str : String, prefix, columns_separator, rows_separator, postfix)
from_custom(io, prefix, columns_separator, rows_separator, postfix) from_custom, from_matlab(s) from_matlab, hadamard(n) hadamard, hankel(column : Indexable | Matrix, row : Indexable | Matrix | Nil = nil) hankel, helmert(n, full = false) helmert, hilbert(n) hilbert, identity(n) identity, invhilbert(n) invhilbert, invpascal(n, kind : PascalKind = PascalKind::Symmetric) invpascal, kron(a, b) kron, leslie(f, s) leslie, load_csv(filename) load_csv, ones(nrows, ncolumns) ones, pascal(n, kind : PascalKind = PascalKind::Symmetric) pascal, rand(nrows, ncolumns, rng = Random::DEFAULT) rand, repmat(a : Matrix(T), nrows, ncolumns) repmat, row(values) row, toeplitz(column : Indexable | Matrix, row : Indexable | Matrix | Nil = nil) toeplitz, tri(nrows, ncolumns, k = 0) tri, zeros(nrows, ncolumns) zeros

Macros inherited from class LA::Matrix(T)

lapack(name, *args, worksize = nil) lapack, lapack_util(name, worksize, *args) lapack_util

Instance methods inherited from module Enumerable(T)

product(initial : Complex)
product(initial : Complex, &) product

Constructor Detail

def self.new(nrows, ncolumns, raw_columns : Array(Int32), raw_rows : Array(Int32), raw_values : Array(T), flags = MatrixFlags::None, *, dont_clone : Bool = false) #

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def self.new(nrows, ncolumns, capacity = 0) #

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def self.new(matrix : self) #

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def self.new(matrix : CSCMatrix) #

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def self.new(matrix : CSRMatrix) #

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def self.new(matrix : LA::Matrix) #

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Class Method Detail

def self.diag(nrows, ncolumns, values) #

Returns diagonal matrix of given size with diagonal elements taken from array values

Raises if values.size > {ncolumns, nrows}.min


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def self.diag(nrows, ncolumns, &) #

Returns diagonal matrix of given size with diagonal elements equal to block value


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Instance Method Detail

def *(b : self) #

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def add(m : self, *, alpha = 1, beta = 1) #

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def as_csr #

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def clear #

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def conjtranspose #
Description copied from class LA::Matrix(T)

Returns conjurgate transposed matrix

result is same as #transpose for real matrices


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def each_index(*, all = false, &) #
Description copied from class LA::Matrix(T)

Yields every index

all argument controls whether to yield all or non-empty elements for banded\sparse matrices Example: m.each_index { |i, j| m[i, j] = -m[i, j] }


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def each_with_index(*, all = false, &) #
Description copied from class LA::Matrix(T)

Yields every element of matrix with corresponding row and column

all argument controls whether to yield all or non-empty elements for banded\sparse matrices Example: m.each_with_index { |v, i, j| m2[i, j] = v }


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def map_with_index(&) #
Description copied from class LA::Matrix(T)

Returns result of appliyng block to every element with index


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def map_with_index!(&) #
Description copied from class LA::Matrix(T)

Yields each element with index and replace it with returned value


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def map_with_index_complex(&) #

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def map_with_index_f64(&) #
Description copied from class LA::Matrix(T)

TODO - macro magic?


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def nonzeros : Int32 #

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def norm(kind : MatrixNorm = MatrixNorm::Frobenius) #

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def resize!(arows, acolumns) #

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def select!(& : T -> Bool) #

def self.rand(ncolumns, nrows, *, nonzero_elements, rng : Random = Random::DEFAULT) def self.rand(ncolumns, nrows, *, fill_factor, rng : Random = Random::DEFAULT)


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def select_index!(& : Int32, Int32 -> Bool) #

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def select_with_index(& : T, Int32, Int32 -> Bool) #

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def select_with_index!(& : T, Int32, Int32 -> Bool) #

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def transpose #
Description copied from class LA::Matrix(T)

Returns transposed matrix


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def unsafe_fetch(i, j) #

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def unsafe_set(i, j, value) #

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