Characterization and generation of \(\alpha\)-dense curves
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Publication:1368448
DOI10.1016/S0898-1221(97)00067-9zbMath0893.90177OpenAlexW2000773675MaRDI QIDQ1368448
Publication date: 28 September 1997
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0898-1221(97)00067-9
Related Items (48)
Approximation of the solution for a class of first order p.d.e. by Adomian method ⋮ Approximating multiple integrals via α‐dense curves ⋮ Solvability of initial value problems with fractional order differential equations in Banach spaces by \(\alpha\)-dense curves ⋮ Global optimization‐preserving operators ⋮ Approximating the attractor set of countable iterated function systems by \(\alpha\)-dense curves ⋮ The ε-approximated complete invariance property ⋮ An approximation method for the optimization of continuous functions ofnvariables by densifying their domains ⋮ The theoretic calculation time associated to α‐dense curves ⋮ Optimization and optimal control for life sciences ⋮ Integer optimization by α‐dense curves ⋮ A fixed point result in Banach algebras based on the degree of nondensifiability and applications to quadratic integral equations ⋮ BOX-COUNTING DIMENSION COMPUTED BY α-DENSE CURVES ⋮ A fixed point result for mappings on the \(\ell_\infty\)-sum of a closed and convex set based on the degree of nondensifiability ⋮ Continuous global optimization on fractals through \(\alpha\)-dense curves ⋮ A quantitative version of Helly's selection principle in Banach spaces and its applications ⋮ The minimal displacement problem of DND-Lipschitzian mappings ⋮ Iterated function systems based on the degree of nondensifiability ⋮ Approximating the attractor set of iterated function systems of order \(m\) by \(\alpha\)-dense curves ⋮ Reducing transformation and global optimization ⋮ A quantitative version of the Kolmogorov-Riesz theorem ⋮ Multiple quadrature using highly oscillatory quadrature methods. ⋮ Solving inequalities by α‐dense curves. Application to global optimization ⋮ Global optimization via α‐dense curves ⋮ Global optimization: the Alienor mixed method with Piyavskii‐Shubert technique ⋮ The Alienor method coupled to the Brent algorithm ⋮ A new reducing transformation for global optimization (with Alienor method) ⋮ Special issue: Proceedings of the international symposium on computational mathematics and applications, ISCMA 2002, Dalian, China, August 30--September 3, 2002. ⋮ Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization ⋮ Approximating the Hausdorff distance by \(\alpha\)-dense curves ⋮ A note on the functional equation \(F(z)+F(2z)+ \cdots +F(nz)=0\) ⋮ Densifiable metric spaces ⋮ Optimization algorithm based on densification and dynamic canonical descent ⋮ Approximation of multiple integrals by simple integrals ⋮ Optimisation of two variables function with linear inequalities constraints – Contraction of the feasible region ⋮ Optimization by space‐densifying curves as a natural generalization of the Alienor method ⋮ Global optimization: A new variant of the Alienor method ⋮ On the minimal length curve that densifies the square ⋮ A fixed point theorem for operators of Meir-Keeler type via the degree of nondensifiability and its application in dynamic programming ⋮ Approximating multiple integrals of continuous functions by \(\delta \)-uniform curves ⋮ A new approach to the reduction of multiple integrals to simple ones using Chebyshev's kernels ⋮ Functional equations generating space-densifying curves ⋮ Projective limits of generalized scales of Banach spaces and applications ⋮ Approximating roots of nonlinear systems by \(\alpha\)-dense curves ⋮ Unnamed Item ⋮ Generation of α‐dense curves and application to global optimization ⋮ Existence of a fractal of iterated function systems containing condensing functions for the degree of nondensifiability ⋮ A generalization of the (b,𝜃)-enriched contractions based on the degree of nondensifiability ⋮ Existence of solutions for infinite systems of differential equations by densifiability techniques
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