Results 21 to 30 of about 6,804 (227)
Mathematics, 2021 The researchers aimed to study the nonlinear fractional order model of malaria infection based on the Caputo-Fabrizio fractional derivative. The homotopy analysis transform method (HATM) is applied based on the floating-point arithmetic (FPA) and the ...
Samad Noeiaghdam +3 more
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Conceiving Extrinsic Information Transfer Charts for Stochastic Low-Density Parity-Check Decoders
IEEE Access, 2018 Stochastic low-density parity-check decoders (SLDPCs) have found favor recently both for correcting transmission errors as well as for improving the hardware efficiency. The main drawback of these decoders is that they require hundreds of time periods to
Asun Perez-Pascual +3 more
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Control of Accuracy on Taylor-Collocation Method for Load Leveling Problem
Известия Иркутского государственного университета: Серия "Математика", 2019 High penetration of renewable energy sources coupled with decentralization of transport and heating loads in future power systems will result even more complex unit commitment problem solution using energy storage system scheduling for efficient load ...
S. Noeiaghdam +3 more
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Biased Boltzmann samplers and generation of extended linear languages with shuffle [PDF]
Discrete Mathematics & Theoretical Computer Science, 2012 This paper is devoted to the construction of Boltzmann samplers according to various distributions, and uses stochastic bias on the parameter of a Boltzmann sampler, to produce a sampler with a different distribution for the size of the output.
Alexis Darrasse +3 more
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Вестник Самарского государственного технического университета. Серия: Технические науки, 2023 The article discusses the methodology and design template for a complex of structurally, functionally, informationally and metrologically compatible software modules that implement algorithms for calculating estimates of the PSD power spectral density ...
Andrey V. Mashkov
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Non-Stationary Stochastic Global Optimization Algorithms
Algorithms, 2022 Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main
Jonatan Gomez, Andres Rivera
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The synthesis of robust polynomial arithmetic with stochastic logic [PDF]
Proceedings of the 45th annual Design Automation Conference, 2008 As integrated circuit technology plumbs ever greater depths in the scaling of feature sizes, maintaining the paradigm of deterministic Boolean computation is increasingly challenging. Indeed, mounting concerns over noise and uncertainty in signal values motivate a new approach: the design of stochastic logic, that is to say, digital circuitry that ...
Weikang Qian, Marc D. Riedel
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The Stochastic Geometric Machine Model
Trends in Computational and Applied Mathematics, 2004 This paper introduces the stochastic version of the Geometric Machine Model for the modelling of sequential, alternative, parallel (synchronous) and nondeterministic computations with stochastic numbers stored in a (possibly infinite) shared memory.
R.H.S. Reiser, G.P. Dimuro, A.C.R. Costa
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Biomimetics, 2023 The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability.
Hongmin Chen +4 more
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Algorithms for Stochastically Rounded Elementary Arithmetic Operations in IEEE 754 Floating-Point Arithmetic [PDF]
2021 IEEE 28th Symposium on Computer Arithmetic (ARITH), 2021 We present algorithms for performing the five elementary arithmetic operations in floating point arithmetic with stochastic rounding, and demonstrate the value of these algorithms by discussing various applications where stochastic rounding is beneficial.
Massimiliano Fasi, Mantas Mikaitis
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