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5 votes
1 answer
539 views

Under what circumstances Is a symmetric matrix representable as a Coulomb matrix?

Question: I am exploring a neural network architecture inspired by physical interactions, where each neuron has associated "mass" and "position" vectors. The weight matrix between ...
mathoverflowUser's user avatar
1 vote
0 answers
46 views

Regression models as local sections of a chain complex

Let's say we find some regression equation $\ell$ (best fit / linear / whatever words you need to put here) for a sample $D$, subset of population $P$. This equation/model can be thought of as a ...
cheyne's user avatar
  • 1,611
0 votes
0 answers
36 views

Conjugate gradient-like algorithm with multiple search directions

I am solving an $n*n$ system $Ax=b$ in CUDA where $A$ is a sparse matrix. Currently I am solving it using the conjugate gradient algorithm. I have noticed that $Ax$ where $x$ is $n*1$ has roughly the ...
SRB121's user avatar
  • 71
1 vote
1 answer
348 views

General strategy of error bound of matrix exponential

I want to ask General strategy of the error bound of the matrix exponential. For example, suppose, $A, B$ are finite dimension $n \times n$ matrices with complex coefficients. Using Baker–Campbell–...
En-Jui Kuo's user avatar
37 votes
17 answers
13k views

Listing applications of the SVD

The SVD (singular value decomposition) is taught in many linear algebra courses. It's taken for granted that it's important. I have helped teach a linear algebra course before, and I feel like I need ...
0 votes
1 answer
87 views

Finding a vector representation for a data where we only know the inner products

I am an engineer working on speech signal processing and I have a problem that I have encountered while trying to model speech signals. The mathematical formulation is not entirely pure and I try to ...
Rajesh D's user avatar
  • 698
-2 votes
1 answer
213 views

Solving a difficult equation for a variable?

I'm trying to obtain the maximum likelihood estimate of the parameters for a model I'm building. I have constants $\sigma$, $\mu$, and $q_0$; a boolean matrix $\alpha$; and vectors $A, \beta, r, d,$ ...
rhombidodecahedron's user avatar
3 votes
4 answers
6k views

Applied linear algebra textbook? [closed]

I have a copy of Linear Algebra Done Right, which I worked through years ago in college. I have been using that book to refresh my knowledge, but it does not have an applied or computational aspect ...
dkh's user avatar
  • 33
0 votes
0 answers
608 views

Orthogonal Projections in Lie Theory

I have been studying a finite element method where rigid & elastic spatial motions are separated using an orthogonal projection (actually two: one for translations/stretches, the other for ...
John Craighead's user avatar