Algorithms and Data Structures for Numerical Computations with Automatic Precision Estimation

We introduce data structures and algorithms to count numerical inaccuracies arising from usage of floating numbers described in IEEE 754. Here we describe how to estimate precision for some collection of functions most commonly used for array manipulations and training of neural networks. For highly optimized functions like matrix multiplication, we provide a fast estimation of precision and some hint how the estimation can be strengthened.

Authors

Publication Details

Journal
Indian Journal of Artificial Intelligence and Neural Networking
Published
2024-10-28
DOI
https://doi.org/10.54105/ijainn.f1092.04061024
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Algorithms and Data Structures for Numerical Computations with Automatic Precision Estimation

Igor V. Netay
Indian Journal of Artificial Intelligence and Neural Networking
Computational Physics and Python Applications
article

Algorithms and Data Structures for Numerical Computations with Automatic Precision Estimation

Igor V. Netay
article en

Abstract

We introduce data structures and algorithms to count numerical inaccuracies arising from usage of floating numbers described in IEEE 754. Here we describe how to estimate precision for some collection of functions most commonly used for array manipulations and training of neural networks. For highly optimized functions like matrix multiplication, we provide a fast estimation of precision and some hint how the estimation can be strengthened.

Indian Journal of Artificial Intelligence and Neural NetworkingVol. 4(6)
Openalex Percentile: Top 83%
Computational Physics and Python Applications
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Algorithms and Data Structures for Numerical Computations with Automatic Precision Estimation — Igor V. Netay · Indian Journal of Artificial Intelligence and Neural Networking (2024) | TGRS Research Map | TGRS