Results 11 to 20 of about 2,824 (289)

Neural Network-Based Symbolic Computation Algorithm for Solving (2+1)-Dimensional Yu-Toda-Sasa-Fukuyama Equation

open access: yesMathematics
This paper presents a Neural Network-Based Symbolic Computation Algorithm (NNSCA) for solving the (2+1)-dimensional Yu-Toda-Sasa-Fukuyama (YTSF) equation.
Jiang-Long Shen   +3 more
doaj   +2 more sources

Emergence of periodic soliton patterns in the time-fractional Hodgkin–Huxley model arising in modern neuroscience [PDF]

open access: yesScientific Reports
The time-fractional Hodgkin-Huxley Model (tfHHM) with Katugampola Fractional Derivatives (KFDs) is the main subject of the current study. This model was developed in modern neuroscience that imitate the way action potentials move along the giant axon in ...
Yousef Jawarneh   +3 more
doaj   +2 more sources

An analytical exploration of dark and bright solitary wave solutions of time-fractional (3+1) -dimensional generalized Painlevé-type equation [PDF]

open access: yesScientific Reports
This research study constructs and examines solitary wave solutions to the Katugampola time-fractional $$(3 +1)$$ -dimensional generalized Painlev’e-type (also known as P-type) equation with the help of the generalized $$(r+\frac{G'}{G})$$ -expansion ...
Mohsin Khan   +3 more
doaj   +2 more sources

Exact wave structures and bifurcation for the (2+1)-Dimensional bogoyavlensky–Konopelchenko equation using modified extended direct algebraic technique [PDF]

open access: yesMethodsX
This study investigates exact analytical solutions and bifurcation dynamics of the (2+1)-dimensional Bogoyavlensky–Konopchenko (BK) equation, a nonlinear model that arises in fluid mechanics and nonlinear wave propagation.
Mohamed A. Elhady   +4 more
doaj   +2 more sources

Optimal hyperdimensional representation for learning and cognitive computation [PDF]

open access: yesFrontiers in Artificial Intelligence
Hyperdimensional Computing (HDC) is a neurally inspired computing paradigm that leverages lightweight, high-dimensional operations to emulate key brain functions.
Prathyush P. Poduval   +7 more
doaj   +2 more sources

Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition [PDF]

open access: yes, 2023
This toolbox supports the results in the following publication: Pickering, L., del Río, T., England, M. and Cohen, K., 2023. Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic ...
Del Rio, Tereso   +6 more
core   +3 more sources

Symbolic computation for evaluation of measurement uncertainty [PDF]

open access: yes, 2007
In recent years, with the rapid development of symbolic computation, the integration of symbolic and numeric methods is increasingly applied in various applications.
Wei, P   +7 more
core   +1 more source

Algebraic Skeleton Transform: A symbolic computation challenge [PDF]

open access: yes, 2022
This paper was presented at the International Symposium on Symbolic and Algebraic Computation (ISSAC 2020).We introduce an algebraic formulation for the shape skeleton transform (also known as the medial axis transform) and present a concrete low-degree ...
Storti, Duane
core  

04061 Summary – Real Computation and Complexity [PDF]

open access: yes, 2006
The seminar "Real Computation and Complexity" was intended as a meeting place of several tendencies in the complexity analysis of algorithms in real computation.
Lickteig, Thomas   +2 more
core   +1 more source

Proving and Computing: Applying Automated Reasoning to the Verification of Symbolic Computation Systems [PDF]

open access: yes, 2014
The application of automated reasoning to the formal verification of symbolic computation systems is motivated by the need of ensuring the correctness of the results computed by the system, beyond the classical approach of testing. Formal verification
Ruiz Reina, José Luis   +1 more
core   +1 more source

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