All Questions
Tagged with matrix-theory algorithms
7 questions
1
vote
2
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137
views
Methods to solve for a matrix whose entries satisfy certain properties
(This question is a repost of a deleted question I asked, because the previous version had several elements missing)
Setting
For fixed $N \in \mathbb{N}$, I wish to compute the entries of a matrix $...
0
votes
2
answers
556
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Sparse dense matrix versus non-sparse dense matrix in eigenvalue computation
I have a matrix in the form of $2n\times 2n$ block matrix
$$
A = \begin{pmatrix}O& W\\
J& D\end{pmatrix}
$$
where, $O$ is an $n\times n$ zero-matrix; $W$ is a n-by-n diagonal matrix, $W = ...
5
votes
1
answer
839
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Row-based iterative algorithms for computing the kernel of a matrix
Suppose $A$ is an $m \times n$ matrix in the form
$$A=\begin{pmatrix} — a_1 —\\ — a_2 —\\ \vdots \\ — a_m — \end{pmatrix}$$
where $a_i \in R^n$ is the $i$-th row of $A$. I know that it is possible ...
2
votes
0
answers
149
views
Random sparse and invertible matrices
Let $n\leq m$ and $0\leq k\leq (n\times m - \min\{n,m\})$ be in $\mathbb{N}$. Let $\mu$ be a probability measure dominated by the Lebesgue measure on $\mathbb{R}$ and generate a random $n\times m$ ...
0
votes
0
answers
142
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Jordan Decomposition of Sparse matrix
Suppose we are given $n \times n$ rational matrix, $A$ with at most $k$ nonzero elements in each row and each column with $k \ll n$.
What is the best algorithm to compute its Jordan decomposition? ...
0
votes
0
answers
52
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How do I test two square matrices are transpose to each other if only the column vector summations are known?
Given two secret square matrices, say $\left( {\begin{array}{*{20}{c}}
{{a_{11}}}&{{a_{12}}}&{{a_{13}}}\\
{{a_{21}}}&{{a_{22}}}&{{a_{23}}}\\
{{a_{31}}}&{{a_{32}}}&{{a_{33}}}
\...
1
vote
1
answer
310
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Algorithm for checking positive definite matrix over a subspace
There is an algorithm that for any input matrix $A \in \mathbb{R}^n$ satisfies $x^\top A x>0$ for all $x \in \mathbb{R}^n$, e.g. by using Cholesky algorithm. Is there an algorithm that, for matrix $...