Question

Is there a way to make array entries complex variables in NumPy?

score 1.6k · Answer 1 · 2015-06-09 05:46:37

1.6k

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Is there a way to make array entries complex variables in NumPy?

Published on 09 June 2015 at 05:46

score 70 · Answer 2 · 2015-06-10 19:05:39

70

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Rotating matrix of points for a custom angle

Published on 10 June 2015 at 19:05

score 1k · Answer 3 · 2015-06-11 15:02:35

1k

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sparse sparse product A^T*A optim in Eigen lib

Published on 11 June 2015 at 15:02

score 2.4k · Answer 4 · 2015-06-15 06:52:52

2.4k

Views

parallelizing matrix multiplication through threading and SIMD

Published on 15 June 2015 at 06:52

score 141 · Answer 5 · 2015-06-14 16:41:01

141

Views

How to do Matrix Chain Multiplication (MCM) with Java threads?

Published on 14 June 2015 at 16:41

score 2.9k · Answer 6 · 2015-06-16 22:53:48

2.9k

Views

How to work with huge matrices in R?

Published on 16 June 2015 at 22:53

score 258 · Answer 7 · 2015-06-19 09:13:59

258

Views

how to generalize square matrix multiplication to handle arbitrary dimensions

Published on 19 June 2015 at 09:13

score 262 · Answer 8 · 2015-06-23 13:59:47

262

Views

OpenCV Mats of Type Float and Matrix Multiplication

Published on 23 June 2015 at 13:59

score 1.2k · Answer 9 · 2015-06-23 23:40:16

1.2k

Views

Is sum or matrix multiplication faster?

Published on 23 June 2015 at 23:40

score 4.5k · Answer 10 · 2015-06-21 03:44:08

4.5k

Views

What does three.js's Matrix4.multiply() method do?

Published on 21 June 2015 at 03:44

score 423 · Answer 11 · 2015-06-24 20:28:05

423

Views

Matlab multiply matrix with matrix along third dimension

Published on 24 June 2015 at 20:28

score 1.9k · Answer 12 · 2015-06-22 12:19:23

1.9k

Views

Loop tiling matrix multiplication using openmp in C++

Published on 22 June 2015 at 12:19

score 786 · Answer 13 · 2015-06-25 13:28:19

786

Views

How to multiply matrix having different size (without knowing exactly the size they will have)?

Published on 25 June 2015 at 13:28

score 107 · Answer 14 · 2015-06-18 08:22:00

107

Views

Multipling row and column vector using .* operation

Published on 18 June 2015 at 08:22

score 46.2k · Answer 15 · 2016-12-16 14:19:29

46.2k

Views

Make the matrix multiplication operator @ work for scalars in numpy

Published on 16 December 2016 at 14:19

score 3k · Answer 16 · 2016-12-18 23:21:36

3k

Views

Multiplication of square matrix with fork (); in C

Published on 18 December 2016 at 23:21

score 444 · Answer 17 · 2016-12-19 11:49:34

444

Views

Thread Array Java Matrix

Published on 19 December 2016 at 11:49

score 1.3k · Answer 18 · 2016-12-14 09:33:16

1.3k

Views

Numpy - Matrix multiplication faster with many zero-entries?

Published on 14 December 2016 at 09:33

score 574 · Answer 19 · 2016-12-16 11:49:33

574

Views

Dot product of a time series of co-ordinates with a time series of rotation matrices

Published on 16 December 2016 at 11:49

score 407 · Answer 20 · 2016-12-22 23:54:16

407

Views

Multiplying large matrices is much slower with contiguous memory allocation

Published on 22 December 2016 at 23:54

List Question

Is there a way to make array entries complex variables in NumPy?

Rotating matrix of points for a custom angle

sparse sparse product A^T*A optim in Eigen lib

parallelizing matrix multiplication through threading and SIMD

How to do Matrix Chain Multiplication (MCM) with Java threads?

How to work with huge matrices in R?

how to generalize square matrix multiplication to handle arbitrary dimensions

OpenCV Mats of Type Float and Matrix Multiplication

Is sum or matrix multiplication faster?

What does three.js's Matrix4.multiply() method do?

Matlab multiply matrix with matrix along third dimension

Loop tiling matrix multiplication using openmp in C++

How to multiply matrix having different size (without knowing exactly the size they will have)?

Multipling row and column vector using .* operation

Make the matrix multiplication operator @ work for scalars in numpy

Multiplication of square matrix with fork (); in C

Thread Array Java Matrix

Numpy - Matrix multiplication faster with many zero-entries?

Dot product of a time series of co-ordinates with a time series of rotation matrices

Multiplying large matrices is much slower with contiguous memory allocation

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