matrix computation
[ˈmeɪtrɪks kəmˌpjuːˈteɪʃən]
nounpl: matrix computations
computação matricial
1. The process of performing mathematical operations on matrices, including addition, multiplication, inversion, and eigenvalue decomposition, typically used in linear algebra and scientific computing
Matrix computation is essential for solving systems of linear equations in engineering applications.
A computação matricial é essencial para resolver sistemas de equações lineares em aplicações de engenharia.
2. Computational techniques and algorithms designed to efficiently perform calculations involving matrices in computer systems
GPU acceleration has revolutionized matrix computation performance in machine learning frameworks.
A aceleração por GPU revolucionou o desempenho da computação matricial em frameworks de aprendizado de máquina.
Matrix computation is a cornerstone terminology in STEM education and professional fields in both Brazil and the USA. In Brazil, the term 'computação matricial' is widely used in engineering, physics, and computer science programs. In the USA, this term is fundamental in machine learning and data science industries, where optimization of matrix operations directly impacts computational efficiency.
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