Algorithmic complexity and randomness in elastic solids - Joel Ratsaby; Joël Chaskalovic (CoRR, 2008)

On the algorithmic complexity of static structures. - Joel Ratsaby; Joël Chaskalovic (J. Syst. Sci. Complex., 2010)

Data mining techniques for scientific computing: Application to asymptotic paraxial approximations to model ultrarelativistic particles. - Franck Assous; Joël Chaskalovic (J. Comput. Phys., 2011)

Data Mining Methods For Performance Evaluations To Asymptotic Numerical Models. - Franck Assous; Joël Chaskalovic (ICCS, 2011)

A paraxial asymptotic model for the coupled Vlasov-Maxwell problem in electromagnetics. - Franck Assous; Joël Chaskalovic (J. Comput. Appl. Math., 2014)

Indeterminate constants in numerical approximations of PDEs: A pilot study using data mining techniques. - Franck Assous; Joël Chaskalovic (J. Comput. Appl. Math., 2014)

Multi-objective analysis of computational models. - Stéphane Doncieux; Jean Liénard; Benoît Girard 001; Mohamed Hamdaoui; Joël Chaskalovic (CoRR, 2015)

Data mining and probabilistic models for error estimate analysis of finite element method. - Joël Chaskalovic; Franck Assous (Math. Comput. Simul., 2016)

Probabilistic Approach to characterize Quantitative uncertainty in numerical Approximations. - Joël Chaskalovic; Franck Assous (Math. Model. Anal., 2017)

From a Geometrical Interpretation of Bramble-Hilbert Lemma to a Probability Distribution for Finite Element Accuracy. - Joël Chaskalovic; Franck Assous (FDM, 2018)

A New Probabilistic Interpretation of the Bramble-Hilbert Lemma. - Joël Chaskalovic; Franck Assous (Comput. Methods Appl. Math., 2020)

A New Mixed Functional-probabilistic Approach for Finite Element Accuracy. - Joël Chaskalovic; Franck Assous (Comput. Methods Appl. Math., 2020)

A probabilistic approach for exact solutions of determinist PDE's as well as their finite element approximations. - Joël Chaskalovic (CoRR, 2020)

On generalized binomial laws to evaluate finite element accuracy: preliminary probabilistic results for adaptive mesh refinement. - Joël Chaskalovic; Franck Assous (J. Num. Math., 2020)

A Probabilistic Approach for Solutions of Deterministic PDE's as Well as Their Finite Element Approximations. - Joël Chaskalovic (Axioms, 2021)

A New First Order Taylor-like Theorem With An Optimized Reduced Remainder. - Joël Chaskalovic; Hessam Jamshidipour (CoRR, 2021)

Numerical Validation of Probabilistic Laws to Evaluate finite element error estimates. - Joël Chaskalovic; Franck Assous (Math. Model. Anal., 2021)

Generalized Beta Prime Distribution Applied to Finite Element Error Approximation. - Joël Chaskalovic; Franck Assous (Axioms, 2022)

A New First Order Expansion Formula with a Reduced Remainder. - Joël Chaskalovic; Hessam Jamshidipour (Axioms, 2022)

A new second order Taylor-like theorem with an optimized reduced remainder. - Joël Chaskalovic; Franck Assous (CoRR, 2023)

Improved P1-interpolation error estimates in W1, p(]0, 1[): Application to finite element method. - Joël Chaskalovic; Franck Assous (CoRR, 2023)

An optimal first-order Taylor-like formula with a minimized remainder. - Joël Chaskalovic; Franck Assous (CoRR, 2023)

A new second order Taylor-like theorem with an optimized reduced remainder. - Joël Chaskalovic; Franck Assous; Hessam Jamshidipour (J. Comput. Appl. Math., 2024)

Enhancing interpolation and approximation error estimates using a novel Taylor-like formula. - Joël Chaskalovic; Franck Assous (J. Comput. Appl. Math., 2025)

A refined first-order expansion formula in Rn: Application to interpolation and finite element error estimates. - Joël Chaskalovic; Franck Assous (J. Comput. Appl. Math., 2025)