Files
adler32
aho_corasick
alga
approx
ascii
atty
backtrace
backtrace_sys
base64
bitflags
blas_src
block_buffer
block_padding
brotli2
brotli_sys
buf_redux
byte_tools
byteorder
cauchy
cblas_sys
cfg_if
chrono
chunked_transfer
colored
crc32fast
crossbeam
crossbeam_channel
crossbeam_deque
crossbeam_epoch
crossbeam_queue
crossbeam_utils
ctrlc
deflate
digest
dirs
error_chain
filetime
futures
generic_array
getrandom
gzip_header
hex
httparse
hyper
idna
itoa
language_tags
lapack_src
lapacke
lapacke_sys
lazy_static
libc
libm
linked_hash_map
log
matches
matrixmultiply
maybe_uninit
md5
memchr
memoffset
mime
mime_guess
multipart
nalgebra
base
geometry
linalg
ndarray
ndarray_linalg
net2
netlib_src
nix
num_complex
num_cpus
num_integer
num_rational
num_traits
opaque_debug
percent_encoding
phf
phf_shared
ppv_lite86
proc_macro2
quick_error
quote
rand
rand_chacha
rand_core
rand_distr
rawpointer
regex
regex_syntax
remove_dir_all
rosrust
rosrust_codegen
rosrust_msg
rouille
rustc_demangle
rustros_tf
ryu
safemem
scopeguard
serde
serde_bytes
serde_derive
serde_json
serde_xml_rs
sha1
siphasher
smallvec
syn
tempdir
term
thread_local
threadpool
time
tiny_http
traitobject
twoway
typeable
typenum
ucd_util
unicase
unicode_bidi
unicode_normalization
unicode_xid
url
utf8_ranges
void
xml
xml_rpc
yaml_rust
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
//! Operator norm

use ndarray::*;

use crate::error::*;
use crate::layout::*;
use crate::types::*;

pub use crate::lapack::NormType;

/// Operator norm using `*lange` LAPACK routines
///
/// [Wikipedia article on operator norm](https://en.wikipedia.org/wiki/Operator_norm)
pub trait OperationNorm {
    /// the value of norm
    type Output: Scalar;

    fn opnorm(&self, t: NormType) -> Result<Self::Output>;

    /// the one norm of a matrix (maximum column sum)
    fn opnorm_one(&self) -> Result<Self::Output> {
        self.opnorm(NormType::One)
    }

    /// the infinity norm of a matrix (maximum row sum)
    fn opnorm_inf(&self) -> Result<Self::Output> {
        self.opnorm(NormType::Infinity)
    }

    /// the Frobenius norm of a matrix (square root of sum of squares)
    fn opnorm_fro(&self) -> Result<Self::Output> {
        self.opnorm(NormType::Frobenius)
    }
}

impl<A, S> OperationNorm for ArrayBase<S, Ix2>
where
    A: Scalar + Lapack,
    S: Data<Elem = A>,
{
    type Output = A::Real;

    fn opnorm(&self, t: NormType) -> Result<Self::Output> {
        let l = self.layout()?;
        let a = self.as_allocated()?;
        Ok(unsafe { A::opnorm(t, l, a) })
    }
}