Results 221 to 230 of about 8,125 (267)
Latitudinal Variation in Estuarine Archaeal Biogeography: Deterministic vs. Stochastic Assembly Processes and Network Stability Across China's Coastal Ecosystems. [PDF]
Liu Y +12 more
europepmc +1 more source
Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine. [PDF]
Chi Y, Schubert K, Badal A, Roncali E.
europepmc +1 more source
Stochastic mutation as a mechanism for the emergence of SARS-CoV-2 new variants. [PDF]
Luo L, Lv J.
europepmc +1 more source
Power Flow, Affine Arithmetic, Complementarity Constraints, Stochastic, Montecarlo, Optimization.
Emerson Yair Quintero Cardenas +1 more
openalex +1 more source
Stochastic Arithmetic in Multiprecision
Floating-point arithmetic precision is limited in length the IEEE single (respectively double) precision format is 32-bit (respectively 64-bit) long. Extended precision formats can be up to 128-bit long. However some problems require a longer floating-point format, because of round-off errors.
Stef Graillat +2 more
exaly +4 more sources
Stochastic arithmetic: Addition and multiplication by scalars
Stochastic numbers are defined as Gaussian random variables with known mean-value and standard deviation. Stochastic arithmetic is then seen as a set of operations on stochastic numbers. The paper under review is focused on addition and multiplication by scalars. Algebraic systems are modelled that represent stochastic arithmetics. Special attention is
Svetoslav Markov, René Alt
exaly +4 more sources
Discrete Stochastic Arithmetic for Validating Results of Numerical Software
The Discrete Stochastic Arithmetic DSA is a probabilistic approach for round-off error propagation. After a brief review of the CESTAC (Controle et Estimation Stochastique des Arrondis de Calculs) method, which is the basis of DSA, the concept of the “informatical zero”, also called “computational zero”, is defined.
Vignes, Jean
exaly +4 more sources
On the algebraic Properties of Stochastic Arithmetic. Comparison to Interval Arithmetic
Interval arithmetic and stochastic arithmetic have been both developed for the same purpose, i. e. to control errors coming from floating point arithmetic of computers. Interval arithmetic delivers guaranteed bounds for numerical results whereas stochastic arithmetic provides confidence intervals with known probability.
Rene Alt, Svetoslav Markov
core +3 more sources

