GitHub

ASESINOELDIOS/Inverse-Block-Matrix

Parallel Inversion of Matrices with Simultaneously Diagonalizable Blocks, by D. Lazaridis, K.A.Draziotis and N.L. Tsitsas. The accompanying code has been designed to facilitate experimental ...
Risk

Correlation matrix with block structure and efficient sampling methods

Random sampling from a multivariate normal distribution is essential for Monte Carlo simulations in many credit risk models. For a portfolio of N obligors, standard methods usually require O(N2) ...
GitHub

A Python demonstration of speeding up matrix multiplication and reducing memory using a quantum-inspired low-rank SVD trick, with examples in AI.

This repository demonstrates a powerful, classical linear algebra technique—low-rank approximation via Singular Value Decomposition (SVD)—to dramatically accelerate common matrix operations like GEMM ...
IEEE

Optimization of Block Sparse Matrix-Vector Multiplication on Shared-Memory Parallel Architectures

Abstract: We examine the implementation of block compressed row storage (BCSR) sparse matrix-vector multiplication (SpMV) for sparse matrices with dense block substructure, optimized for blocks with ...
JSTOR Daily

Examples of Intra-Block Analysis for Factorials in Group Divisible, Partially Balanced, Incomplete Block Designs

This is a preview. Log in through your library . Journal Information Biometrics is a scientific journal emphasizing the role of statistics and mathematics in the biological sciences. Its object is to ...
IEEE

On Adaptive Frequency Sampling for Data-Driven Model Order Reduction Applied to Antenna Responses

Abstract: Frequency-domain sweeps of array antennas are well-known to be time intensive, and different surrogate models have been used to improve the performance. Data-driven model order reduction ...