Steepest descent method for solving fuzzy nonlinear equations

DOI10.1016/j.amc.2005.04.092zbMath1089.65042OpenAlexW2138987942MaRDI QIDQ2490238

Yanyan Li

Publication date: 28 April 2006

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2005.04.092

zbMATH Keywords

numerical examplesFuzzy nonlinear equationsFuzzy parametric formSteepest descent method

Mathematics Subject Classification ID

Numerical computation of solutions to single equations (65H05) Fuzzy algebraic structures (08A72)

Related Items (6)

A new approach for solving dual fuzzy nonlinear equations using Broyden's and Newton's methods ⋮ Finding solutions of fuzzy polynomial equations systems by an Algebraic method ⋮ Resolution of single-variable fuzzy polynomial equations and an upper bound on the number of solutions ⋮ Broyden's method for solving fuzzy nonlinear equations ⋮ Numerical methods for solving fuzzy equations: a survey ⋮ Solving fully fuzzy polynomials using feed-back neural networks

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