d09aa50a31
Fix Vector::axpy for noncommutative cases ( #648 )
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Fix Vector::axpy for noncommutative cases
2019-11-19 22:06:01 +01:00
f5163260cb
Cholupdate ( #673 )
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Cholupdate
2019-11-17 15:17:25 +01:00
9ed7dba750
Import IsaacRng from rand_isaac instead of rand. ( #678 )
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Import IsaacRng from rand_isaac instead of rand.
2019-11-17 13:49:25 +01:00
e848f76aa7
Update cholesky.rs
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corrected typo ni doc for `xx_rank_one_update`
2019-11-17 13:40:19 +01:00
04ebd9254f
Add some missing spaces.
2019-11-17 13:24:00 +01:00
246f72ebc0
Fix Cholesky for no-std platforms.
2019-11-17 13:10:50 +01:00
8bce398653
Import IsaacRng from rand_isaac instead of rand.
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The rand crate removed IsaacRng in the 0.5 -> 0.6 transition, so the benchmarks that use it haven't compiled since 9c37c51203
2019-11-15 14:29:18 -05:00
31ef5f0ab0
Merge pull request #669 from daingun/patch-2
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Use same algorithm to solve 2x2 eigenvalue problem
2019-11-05 23:02:13 +01:00
f03bd552c2
Generalize From<_> for MatrixSlice(Mut) to allow different strides
2019-11-05 22:52:49 +01:00
796db161d8
Implement From<&Matrix> for MatrixSlice
2019-11-05 22:52:49 +01:00
9276b1dc64
Add Vector::axcpy method
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The added method `Vector::axcpy` generalises `Vector::gemv` to
noncommutative cases since it allows us to write for `gemv`
`self.axcpy(alpha, &col2, val, beta)`, instead the usual
`self.axpy(alpha * val, &col2, beta)`. Hence, `axcpy` preserves the
order of scalar multiplication which is important for applications where
commutativity is not guaranteed (e.g., matrices of quaternions, etc.).
This commmit also removes helpers `array_axpy` and `array_ax`, and
replaces them with `array_axcpy` and `array_axc` respectively, which
like above preserve the order of scalar multiplication.
Finally, `Vector::axpy` is preserved, however, now expressed in terms of
`Vector::axcpy` like so:
```
self.axcpy(alpha * val, &col2, beta)
```
2019-11-04 10:27:57 +01:00
7302defe56
finished cleaning
2019-11-03 21:24:44 +01:00
72834186d8
needs faster matrix initialization
2019-11-03 20:00:15 +01:00
46687b7cde
tests pass, needs cleanup
2019-11-03 18:48:04 +01:00
e6467c2a3e
insert does compile
2019-11-03 18:02:27 +01:00
b4c078ca76
insert does not compile yet
2019-11-03 15:43:49 +01:00
6d1a00218f
found uneeded storagemut
2019-11-03 15:17:20 +01:00
fd5cef6609
remove column is now working
2019-11-03 14:33:35 +01:00
ebbfc84e96
added template for remove_column
2019-11-03 13:26:18 +01:00
03730f594b
finally got the correct type for insert column
2019-11-03 13:20:56 +01:00
cf2286cb36
added assertion
2019-11-03 09:36:03 +01:00
19fce3addc
removed useless if
2019-11-02 19:28:46 +01:00
d4d3f69429
code cleaned
2019-11-02 19:05:39 +01:00
3123da5529
code cleaned
2019-11-02 19:04:07 +01:00
3ae88127ee
rank update passed tests
2019-11-02 18:27:01 +01:00
bc7935ac24
updated comment
2019-11-02 16:49:57 +01:00
80d2efcb5d
added real constraint on sigma
2019-11-02 16:45:30 +01:00
e49ecdc0a1
test is now correct
2019-11-02 16:36:23 +01:00
bdccc81874
got test to compile
2019-11-02 15:56:59 +01:00
1fe4ef956b
added test for update
2019-11-02 15:11:14 +01:00
2beb09dab2
first version of rank one update
2019-11-02 14:59:07 +01:00
97374f41b9
Merge pull request #1 from daingun/patch-1
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Correct Schur decomposition for 2x2 matrices
2019-11-02 13:38:23 +01:00
90209752e2
used Storage trait for solve
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see issue 667
2019-11-02 10:58:24 +01:00
535e9d9ebd
used Storage trait for solve method
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as per issue 667 https://github.com/rustsim/nalgebra/issues/667
2019-11-02 10:58:24 +01:00
7777ec43ea
Used Storage trait for solve method
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See issue 667 : https://github.com/rustsim/nalgebra/issues/667
2019-11-02 10:58:24 +01:00
640b008fa5
Use same algorithm to solve 2x2 eigenvalue problem
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The eigenvalue problem is solved in two different method that use different methods
to calculate the discriminant of the solution to the quadratic equation.
Use the method whose computation is considered more stable.
2019-11-01 23:27:08 +01:00
ead2360f8e
Correct Schur decomposition for 2x2 matrices
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Due to rounding and possible loss of precision the lower left element of the 2x2 matrix
may be different from zero.
2019-11-01 22:50:28 +01:00
c550921bcf
Correct Schur decomposition for 2x2 matrices
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Due to rounding and possible loss of precision the lower left element of the 2x2 matrix
may be different from zero.
2019-11-01 22:12:59 +01:00
286a37364e
Release nalgebra 0.19.0.
2019-10-28 13:40:37 +01:00
59ae79037f
Bump dependencies.
2019-10-28 13:36:23 +01:00
ac161e9afb
Create FUNDING.yml
2019-10-27 22:49:43 +01:00
afab84879e
Updated rand and quickcheck for nalgebra-lapack
2019-10-15 19:00:37 +02:00
28b12f5ad5
Rand 0.6 -> 0.7
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* Bumped rand version to 0.7
* Added dependency to rand_distr
* Bumped quickcheck version to 0.9 (because of rand)
* Bumped rand_xorshift version to 0.2
2019-10-15 19:00:37 +02:00
48f8333e00
Corrected typo.
2019-10-01 10:27:59 +02:00
8d89b02b70
Changed name. Changed argument. Added documentation line.
2019-10-01 10:27:59 +02:00
f475a9bc07
Added function to compute the mean quaternion from a vector of unit quaternions.
2019-10-01 10:27:59 +02:00
8d756f47ce
Switched fmt implementation to a macro, applied that macro to all formats in std
2019-09-08 20:59:42 +02:00
04e322f0f6
implemented LowerExp
2019-09-08 20:59:42 +02:00
04eb817779
Fixes #637 : removes not used parameter from cross
2019-09-08 20:57:57 +02:00
d0fa79f6e1
Fix Vector::axpy for noncommutative cases
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One example would be performing simple matrix multiplication
over a division algebra such as quaternions.
2019-09-05 15:12:38 +02:00
Sébastien Crozet
Nestor Demeure
Avi Weinstock
Andreas Longva
Jakub Konka
daingun
Edoardo Morandi
thibault
Pierre Avital
Pierre Avital
alex