nrm2

Returns the euclidean norm of a vector. Uses unrolled loops for stride equal to one.

F nrm2(Slice!(Iterator, N, kind) x)
@fastmath
F
nrm2
(
F
SliceKind kind
size_t N
Iterator
)
(
Slice!(Iterator, N, kind) x
)
auto nrm2(Slice!(Iterator, N, kind) x)

Parameters

F: type for summation (optional template parameter)
x Slice!(Iterator, N, kind): n-dimensional tensor BLAS: SNRM2, DNRM2, SCNRM2, DZNRM2

Return Value

Type: F

euclidean norm sqrt(conj(xᐪ) × x)

Examples

SNRM2, DNRM2

import mir.ndslice.allocation: slice;
import std.math: sqrt, approxEqual;
auto x = slice!double(4);
x[] = [0, 1, 2, 3];
assert(nrm2(x).approxEqual(sqrt(1.0 + 4 + 9)));

SCNRM2, DZNRM2

import mir.ndslice.allocation: slice;
import std.math: sqrt, approxEqual;

auto x = slice!cdouble(2);
x[] = [0 + 1i, 2 + 3i];

assert(nrm2(x).approxEqual(sqrt(1.0 + 4 + 9)));

Meta

Source

See Implementation

mir glas l1 functions

templates