C— Matrix coefficient, C 1 (default) | scalar | vector | matrix | sparse matrix D— Matrix coefficient, D 1 (default) | scalar | vector | matrix | sparse matrix Initial conditions— Initial state vector 0 (default) | scalar | vector Parameter tunability— Choose tunable representation of...
> > > > I am wondering if there is a way to implement SPMM (Sparse matrix-matrix > > > > multiplication) by using PETSc. > > > > > > > > >http://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Mat/MatMatMult.html> > > >...
This paper enumerates three kinds of algorithm to implement the addition of sparse matrix. Moreover, it also compares and analyzes the difference of time complexity and space complexity among the three kinds of algorithm.Geng XiuhuaTaiyuan University, 030009, ChinaInternational Conference on Electronic...
% This file contains code that helps yougetstarted on the% sstacked autoencoder exercise. You will need to complete codein%stackedAECost.m%You will also need to have implemented sparseAutoencoderCost.m and% softmaxCost.mfromprevious exercises. You will need the initializeParameters.m% loadMNIS...
Due Diligence General: Description Implementedto_sparse()method for DNDarray class conversion to DCSR_matrix representation Issue/sresolved:#1054 Changes proposed: Added the to_sparse() method to the DNDarray class for converting to a DCSR_matrix representation. ...
> PetscViewer :: view > ! sparse matrix > Mat :: A > ! distributed dense matrix of size n x m > Mat :: B, X, R, QDlt, AQDlt > ! distributed dense matrix of size n x (m x k) > Mat :: Q, K, AQ_p, AQ > ! local dense matrix (every process keep the identical copi...
We already have SparsePauliOp.to_matrix in Rust space which is very optimised. We quite possibly want to move the SparsePauliOp.to_matrix logic into SparsePauliOp, generalise it slightly to handle the projectors, and then have SparsePauliOp.to_matrix work by lifting the SparsePauliOp to a ...
% You are given a stack variable whichisa cell-array of% the weights and biasesforevery layer. In particular, you% can refer to the weights of Layer d,usingstack{d}.w and% the biasesusingstack{d}.b . Togetthe total number of%layers, you can use numel(stack).% ...
C—Matrix coefficient, C 1(default) | scalar | vector | matrix | sparse matrix D—Matrix coefficient, D 1(default) | scalar | vector | matrix | sparse matrix Initial conditions—Initial state vector 0(default) | scalar | vector Parameter tunability—Choose tunable representation of block param...
A is a sparse matrix. In the first loop, I don't use Km(stepIdx) here. However, I want to let Km(stepIdx) matrix be associated with the some of columns of K here. In the second loop, I want to update Km(stepIdx) by using A*Km(stepIdx-1) so that the ...