Results 11 to 20 of about 322 (162)
Simulating Low Precision Floating-Point Arithmetic [PDF]
SIAM Journal on Scientific Computing, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicholas J. Higham, Srikara Pranesh
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm
IET Software, 2023 The use of floating-point numbers inevitably leads to inaccurate results and, in certain cases, significant program failures. Detecting floating-point errors is critical to ensuring that floating-point programs outputs are proper.
Hongru Yang +4 more
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Journal of Advances in Modeling Earth Systems, 2020 The need for high‐precision calculations with 64‐bit or 32‐bit floating‐point arithmetic for weather and climate models is questioned. Lower‐precision numbers can accelerate simulations and are increasingly supported by modern computing hardware.
M. Klöwer, P. D. Düben, T. N. Palmer
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Hammering Floating-Point Arithmetic
, 2023 AbstractSledgehammer, a component of the interactive proof assistant Isabelle/HOL, aims to increase proof automation by automatically discharging proof goals with the help of external provers. Among these provers are a group of satisfiability modulo theories (SMT) solvers with support for the SMT-LIB input language.
Olle Torstensson, Tjark Weber
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Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors
Sensors, 2022 The convergence of artificial intelligence (AI) is one of the critical technologies in the recent fourth industrial revolution. The AIoT (Artificial Intelligence Internet of Things) is expected to be a solution that aids rapid and secure data processing.
Muhammad Junaid +3 more
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FAST ROBUST ARITHMETICS FOR GEOMETRIC ALGORITHMS AND APPLICATIONS TO GIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Geometric predicates are used in many GIS algorithms, such as the construction of Delaunay Triangulations for Triangulated Irregular Networks (TIN) or geospatial predicates.
T. Bartels, V. Fisikopoulos
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Robustness Analysis of Floating-Point Programs by Self-Composition
Journal of Applied Mathematics, 2014 Robustness is a key property for critical systems that run in uncertain environments, to ensure that small input perturbations can cause only small output changes.
Liqian Chen +4 more
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High-Performance Computation in Residue Number System Using Floating-Point Arithmetic
Computation, 2021 Residue number system (RNS) is known for its parallel arithmetic and has been used in recent decades in various important applications, from digital signal processing and deep neural networks to cryptography and high-precision computation.
Konstantin Isupov
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Maximum network flow with floating point arithmetic [PDF]
Information Processing Letters, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Althaus, E., Mehlhorn, K.
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Interval Term Rewriting System: Toward A Formal Model for Interval Computation
Trends in Computational and Applied Mathematics, 2006 We present a term rewriting system for interval arithmetic (addition, subtraction and multiplication), toward a mathematical model for interval compu- tation.
A.X. Carvalho, R.H.N. Santiago
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