Results 131 to 140 of about 53,358 (305)
Multiple context-free path querying by matrix multiplication
Many graph analysis problems can be formulated as formal language-constrained path querying problems where the formal languages are used as constraints for navigational path queries.
I. V. Epelbaum +2 more
doaj +1 more source
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
Nondestructive Testing of Welded Composite Metal Foams
X‐ray computed tomography (CT) is used to evaluate welded steel–steel composite metal foam (CMF) joints of two density classes. It reports variation in postweld spatial void distribution and correlates it to weld‐induced changes, mechanical performance, and failure within welded CMF panels.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Application Level Synthesis: Creating Matrix-Matrix Multiplication Library: A Case Study
Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the lack of good algorithmic libraries.
Dhilleswararao Pudi +6 more
doaj +1 more source
Generalized matrix inversion is not harder than matrix multiplication
Starting from the Strassen method for rapid matrix multiplication and inversion as well as from the recursive Cholesky factorization algorithm, we introduced a completely block recursive algorithm for generalized Cholesky factorization of a given ...
Petković, Marko D. +1 more
core +1 more source
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon +3 more
wiley +1 more source
Real-Time Passive Acoustic Mapping Using Sparse Matrix Multiplication. [PDF]
Kamimura HAS +8 more
europepmc +1 more source
Performance Aspects of Sparse Matrix-Vector Multiplication
Sparse matrix-vector multiplication (shortly SpM×V) is an important building block in algorithms solving sparse systems of linear equations, e.g., FEM.
I. Šimeček
doaj
From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle +3 more
wiley +1 more source
SpDRAM: Efficient In-DRAM Acceleration of Sparse Matrix-Vector Multiplication
We introduce novel sparsity-aware in-DRAM matrix mapping techniques and a corresponding DRAM-based acceleration framework, termed SpDRAM, which utilizes a triple row activation scheme to efficiently handle sparse matrix-vector multiplication (SpMV).
Jieui Kang +3 more
doaj +1 more source

