Constructs a CSCMatrix instance.
Constructs a CSCMatrix instance. We don't validate the input data for performance reasons.
active values
number of rows
number of columns
the locations in data
that start a column
row indices of the elements in data
Most implementations based on "Direct Methods for Sparse Linear Systems"
by Timothy A. Davis
Alias for :%(b) when b is a scalar.
Alias for :%(b) when b is a scalar.
Element-wise modulo of this and b.
Element-wise modulo of this and b.
Alias for :%=(b) when b is a scalar.
Alias for :%=(b) when b is a scalar.
Alias for &:&(b) for all b.
Alias for &:&(b) for all b.
Element-wise logical "and" operator -- returns true if corresponding elements are non-zero.
Element-wise logical "and" operator -- returns true if corresponding elements are non-zero.
Mutates this by element-wise and of this and b.
Mutates this by element-wise and of this and b.
Matrix multiplication
Matrix multiplication
Element-wise product of this and b.
Element-wise product of this and b.
Alias for :*=(b) when b is a scalar.
Alias for :*=(b) when b is a scalar.
Alias for :+(b) for all b.
Alias for :+(b) for all b.
Element-wise sum of this and b.
Element-wise sum of this and b.
Alias for :+=(b) for all b.
Alias for :+=(b) for all b.
Alias for -:-(b) for all b.
Alias for -:-(b) for all b.
Element-wise difference of this and b.
Element-wise difference of this and b.
Alias for :-=(b) for all b.
Alias for :-=(b) for all b.
Alias for :/(b) when b is a scalar.
Alias for :/(b) when b is a scalar.
Element-wise quotient of this and b.
Element-wise quotient of this and b.
Alias for :/=(b) when b is a scalar.
Alias for :/=(b) when b is a scalar.
Element-wise inequality comparator of this and b.
Element-wise inequality comparator of this and b.
Mutates this by element-wise modulo of b into this.
Mutates this by element-wise modulo of b into this.
Mutates this by element-wise and of this and b.
Mutates this by element-wise and of this and b.
Mutates this by element-wise multiplication of b into this.
Mutates this by element-wise multiplication of b into this.
Mutates this by element-wise addition of b into this.
Mutates this by element-wise addition of b into this.
Mutates this by element-wise subtraction of b from this
Mutates this by element-wise subtraction of b from this
Mutates this by element-wise division of b into this
Mutates this by element-wise division of b into this
Mutates this by element-wise assignment of b into this.
Mutates this by element-wise assignment of b into this.
Element-wise equality comparator of this and b.
Element-wise equality comparator of this and b.
Mutates this by element-wise exponentiation of this by b.
Mutates this by element-wise exponentiation of this by b.
Mutates this by element-wise xor of this and b.
Mutates this by element-wise xor of this and b.
Mutates this by element-wise or of this and b.
Mutates this by element-wise or of this and b.
Element-wise less=than comparator of this and b.
Element-wise less=than comparator of this and b.
Element-wise less-than-or-equal-to comparator of this and b.
Element-wise less-than-or-equal-to comparator of this and b.
Element-wise greater-than-or-equal-to comparator of this and b.
Element-wise greater-than-or-equal-to comparator of this and b.
Element-wise greater-than comparator of this and b.
Element-wise greater-than comparator of this and b.
Shaped solve of this by b.
Shaped solve of this by b.
Element-wise exponentiation of this and b.
Element-wise exponentiation of this and b.
Alias for :^^(b) for all b.
Alias for :^^(b) for all b.
Element-wise logical "xor" operator -- returns true if only one of the corresponding elements is non-zero.
Element-wise logical "xor" operator -- returns true if only one of the corresponding elements is non-zero.
Mutates this by element-wise xor of this and b.
Mutates this by element-wise xor of this and b.
Method for slicing that is tuned for Matrices.
Method for slicing that is tuned for Matrices.
Slice a sequence of elements.
Slice a sequence of elements. Must be at least 2.
method for slicing a tensor.
method for slicing a tensor. For instance, DenseVectors support efficient slicing by a Range object.
the locations in data
that start a column
number of columns
Inner product of this and b.
Inner product of this and b.
Returns all indices k whose value satisfies a predicate.
Returns all indices k whose value satisfies a predicate.
Returns true if and only if the given predicate is true for all elements.
Returns true if and only if the given predicate is true for all elements.
Returns true if and only if the given predicate is true for all elements.
Returns true if and only if the given predicate is true for all elements.
Applies the given function to each key in the tensor.
Applies the given function to each key in the tensor.
Applies the given function to each key and its corresponding value.
Applies the given function to each key and its corresponding value.
Applies the given function to each value in the map (one for each element of the domain, including zeros).
Applies the given function to each value in the map (one for each element of the domain, including zeros).
Maps all active key-value pairs values.
Maps all active key-value pairs values.
Maps all non-zero values.
Maps all non-zero values.
Creates a new map containing a transformed copy of this map.
Creates a new map containing a transformed copy of this map.
Creates a new map containing a transformed copy of this map.
Creates a new map containing a transformed copy of this map.
number of rows
A transposed view of this object, followed by a slice.
A transposed view of this object, followed by a slice. Sadly frequently necessary.
A transposed view of this object, followed by a slice.
A transposed view of this object, followed by a slice. Sadly frequently necessary.
A transposed view of this object.
A transposed view of this object.
Alias for :||(b) for all b.
Alias for :||(b) for all b.
Element-wise logical "or" operator -- returns true if either element is non-zero.
Element-wise logical "or" operator -- returns true if either element is non-zero.
Mutates this by element-wise or of this and b.
Mutates this by element-wise or of this and b.
Returns true if all elements are non-zero
Returns true if all elements are non-zero
(Since version 0.6) Use breeze.linalg.all instead
Returns true if some element is non-zero
Returns true if some element is non-zero
(Since version 0.6) Use breeze.linalg.any instead
(Since version 0.6) Use argmax(t) instead of t.argmax
(Since version 0.6) Use argmin(t) instead of t.argmin
(Since version 0.6) Use argsort(t) instead of t.argsort
Returns the k indices with maximum value.
Returns the k indices with maximum value. (NOT absolute value.)
how many to return
(Since version 0.6) Use argtopk(t, k) instead of t.argtopk(k)
(Since version ) see corresponding Javadoc for more information.
Returns true if and only if the given predicate is true for all elements.
Returns true if and only if the given predicate is true for all elements.
(Since version 0.8) Please use 'forall' with the same arguments, which is more in accordance with scala.collections syntax
(Since version 0.6) Use max(t) instead of t.max
(Since version 0.6) Use min(t) instead of t.min
(Since version 0.6) Use sum(t) instead of t.sum
A compressed sparse column matrix, as used in Matlab and CSparse, etc.
In general, you should probably NOT use the class's constructors unless you know what you are doing. We don't validate the input data for performance reasons. So make sure you understand the https://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_column_.28CSC_or_CCS.29 correctly. Otherwise, please use the factory methods under CSCMatrix and CSCMatrix#Builder to construct CSC matrices.