Results 81 to 90 of about 53,358 (305)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Polynomials and the exponent of matrix multiplication
We define tensors, most of which correspond with cubic polynomials, which have the same exponent w as the matrix multiplication tensor. In particular, we study the symmetrized matrix multiplication tensor defined on an nxn matrix A by trace(A^3).
Jonathan Hauenstein (17332201)
core +1 more source
Completion of Matrix Inversions Using Elementary Matrix Inverse Multiplication Method
. Given a matrix A is ordo . Elementary matrix inverse multiplication produces inverse matrix A which is where I is an identity matrix and is an inverse matrix A.
Cipta, Hendra, Cipta, H. (Hendra)
core +1 more source
Barriers for rectangular matrix multiplication
Abstract We study the algorithmic problem of multiplying large matrices that are rectangular. We prove that the method that has been used to construct the fastest algorithms for rectangular matrix multiplication cannot give algorithms with complexity $$n^{p + 1}$$
Matthias Christandl +3 more
openaire +4 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
The scheduling of sparse matrix-vector multiplication on a massively parallel dap computer
An efficient data structure is presented which supports general unstructured sparse matrix-vector multiplications on a Distributed Array of Processors (DAP). This approach seeks to reduce the inter-processor data movements and organises the operations in
Mitra, G, Parkinson, D, Andersen, J
core
Fast sparse matrix multiplication
A new space-efficient representation for sparse matrices is introduced and a fast sparse matrix multiplication algorithm based on the new representation is presented. The scheme is very efficient when the nonzero elements of a sparse matrix are partially
S.C. Park (8091284) +2 more
core +1 more source
Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication [PDF]
Multiplication of a sparse matrix with a dense matrix is a building block of an increasing number of applications in many areas such as machine learning and graph algorithms.
Penporn Koanantakool +13 more
core +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
On Some New Generalized Di®erence Sequence Spaces and Their Topological Properties
In this study, we define a new triangle matrix G ={gu,v(r, s, t)} which derived by using multiplication of weightedmean matrix G = (gnk) with triple band matrix B(r, s, t) .
Osman Duyar, Serkan Demiriz
doaj

