|matrix assignment from a matrix A to a matrix B using conditional statements based on a third matrix C|
| by 007ELmO in Programming Languages|
I have two questions if you can kindly respond:
Q1) I have a
choice, where each person is making 4 of any possible
choices, denoted as 1, 2, 3 and 4.
I have three matrixes
A3 with income information
for each person and each time period. Say I have n people and t time
|Is there any built-in type of matrix in CUDA for matrix and matrix-vector operation?|
| by pulkizine in Programming Languages|
I want to implement some matrix–vector math. There are vector
int2, but I cannot find any
built-in type matrix in CUDA.
Is there a library that suitable
for such operations?
|Based on a matrix A, generate a matrix B with all possible multiplications of the columns of Matrix A|
| by riahc3 in Programming Languages|
Say I have a matrix with 3 columns:
c3, and I want to create a new matrix in which
each column is any possible product of two of the columns of this matrix.
So, if I had a matrix with d columns, I would like to create a
new matrix with d+d(d-1)/2+d columns. For example, consider the matrix with
|Replace matrix values in a matrix with mean values extracted from a smaler matrix in matlab|
| by Wesley D. Radcliffe in Programming Languages|
Lets say I have an 10 x 10 matrix. What I do then is iterate throug the
whole matrix with an 3x3 matrix (except the edges to make it easier), and
from this 3x3 matrix I get the mean/average value of this 3x3 space. What I
then want to do is to replace the orignal matrix values, with those new
mean/average values. can someone please explaine to me how I can do that?
Some code examples would be a
|Accessing a matrix element by matrix[(a, b), c] instead of matrix[a, b, c]|
| by seigel in Programming Languages|
I want to achieve the following:
Have a AxBxC matrix (where
Access that matrix not as matrix[a,
c] but as matrix[(a, b), c], this
is, I have two variables, var1 =
y) and var2 = z and want access my
matrix as matrix[var1,
How can this be done? I am using numpy matrix, if it makes
|How to store Sparse matrix for a matrix-vector multiply when some boundary condition values are known?|
| by dougbeal in Programming Languages|
I have a sparse matrix that represents a 3D rectangular space. Along
some of the boundaries, I know what the value is going to be (it's a
constant). The other boundaries may be reflective, differential, etc.
Should I just set the problem up as if all the boundaries were
say, differential, and then go back and set the nodes in the solution
vector b to be the constants?
|find row wise index of specific elements in a matrix and populate another matrix|
| by keird in Development Tools & Services|
I have a matrix of 10 stock returns for 100 days ( 100 rows and 10
columns ) . I am applying the following operations on it.
have used loops which takes a very long time on a bigger data set. I'm sure
this can be simplified using array operations.
1) select the
top 3 and bottom 3 values in each row and store the index of the values in
a "select" matrix (also a 100x10
|Is there a way to get a parametric solution to matrix using matrix solver from some lin. algebra java library?|
| by icode.cs in Java|
All the matrix solvers I've come across require the matrices to be
square and invertible, but what about matrices that are not square and have
multiple solutions...how would I go about finding a parametric form of this
|Java. Writing a matrix in a file using column information. ( matrix transposition )|
| by Switzerland in Programming Languages|
I have a file in which a matrix is stored. This file has a
RandomAccessFile type. This matrix is stored by columns. I mean that in an
i-th row of this matrix an i-th column (of a real matrix) is stored. There
is an example:
i-th row: 1 2 3 4 (in the file). That means that the
real matrix has an i-th column: (1 2 3 4)(is transposed).
need to save this matrix in a natural way (
|Eigen decomposition of a matrix of form W * diag(S) * W' for matrix exponential in MATLAB|
| by miceno in Programming Languages|
W is a tall and skinny real valued matrix, and
diag(S) is a diagonal matrix consists of
-1 on the diagonal. I want the eigen decomposition of
= W * diag(S) * W' where single quote denotes transposition. The
main problem is that
A is pretty big. Since
symmetric, rank deficient, and I actually