Fasma Diele, master degree in Mathematics, senior researcher at Istituto per Applicazioni del Calcolo "M.Picone" of the Consiglio Nazionale delle Ricerche (CNR).  Author of several papers in numerical analysis and applied mathematics . Expertise in the field of Geometric Numerical Integration of non linear differential equations: non-standard positive methods, methods for time-depended Hamiltonian flow,  methods for preserving invariants, energy-preserving splitting , symplectic partitioned Runge-Kutta methods. Leader of RSTL id.332 project (funded by CNR), "Numerical algorithms for differential equations with specific qualitative properties". Research  activities within EU funded projects  BIO_SOS , H2020 ECOPOTENTIA L, eLTER-Plus, CHOECO.  Main original contributions on symplectic methods for simulating population and metapopulation dynamics in fragmented habitat, on  optimal control of the diffusion of invasive species in protected areas, on non-standard  modelling of  soil organic carbon dynamics.  Editor for Abstract and Applied Analysis | Hindawi,  SCIREA Journal of Mathematics, SF Journal of Environmental and Earth Science, International Journal of System Science and Applied Mathematics.   Active member of  “Modellistica Socio-Epidemiologica (MSE)”  group developing research in epidemiologial modeling.  Member of  European Women in Mathematics (EWM).


Optimality, computation and interpretation of nonnegative matrix factorizations. 2005

M Chu, F Diele, R Plemmons, S Ragni


Differential Equation Models in Applied Mathematics: Theoretical and Numerical Challenges

Fasma Diele

Mathematics, vol. 10, Multidisciplinary Digital Publishing Institute, 2022, p. 249

Non-Standard Discrete RothC Models for Soil Carbon Dynamics

Fasma Diele, Carmela Marangi, Angela Martiradonna

Axioms, vol. 10, 2021

Using awareness to Z-control a SEIR model with overexposure: insights on Covid-19 pandemic

Deborah Lacitignola, Fasma Diele

Chaos, Solitons \& Fractals, Elsevier, 2021, p. 111063

Geometric Numerical Integration in Ecological Modelling

Fasma Diele, Carmela Marangi

Mathematics, vol. 8, Multidisciplinary Digital Publishing Institute, 2020, p. 25

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H2020 research and innovation programme. Pillar: Excellence Science. Thematic Priority: Research Infrastructures


algoritmi e modelli di calcolo per la caratterizzazione delle aree di studio in merito a identificazione di specie invasive e classificazione degli habitat e per il loro monitoraggio multitemporale


EOTiST aims to enhance the S&T capacity of the Space Research Centre of the Polish Academy of Sciences (CBK PAN) and to achieve excellence in research of EO products’ assimilation in the ecosystem assessment and monitoring by starting close collaborati...


One-step methods for ODEs in MATLAB

2010-2015 Docenza nella Scuola di Dottorato in Matematica, Facoltà di Scienze MM.FF.NN. - Dipartimento di Matematica- Università degli Studi di Bari


Jan 25, 2022

Differential Equation Models in Applied Mathematics Theoretical and Numerical Challenges


Jun 29, 2021

CNR President, Prof. Maria Chiara Carrozza, visiting IAC-Bari

Feb 11, 2021

Special Issue for JCD


Feb 10, 2021

Special issue on Mathematics

Special Issue Editor Dr. Fasma Diele Guest Editor Istituto per le Applicazioni del Calcolo M. Picone, CNR, Via Amendola 122, Bari I-70126, Italy Interests: numerical methods for dynamical systems; ordinary and partial differential equations; geome... (Link)

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COINS.R (Control of Invasive Specie)

R routine on the ECOPOTENTIAL Virtual Laboratory Platform (VLab)

Energy-preserving splitting methods

A modified version of matlab code in https://theclevermachine.wordpress.com/2012/11/18/mcmc-hamiltonian-monte-carlo-a-k-a-hybrid-monte-carlo/ implementing a second order energy-preserving splitting method in: Splitting schemes and energy preservation for separable Hamiltonian systems Brigida Pace, Fasma Diele, Carmela Marangi Mathematics and Computers in Simulation, North-Holland, 2015, pp. 40--52

Implicit Symplectic (IMSP)

Matlab routine https-github-com-mgarvie-pred_prey_imsp_imsp1

PRED_PREY_IMSP is a collection of simple MATLAB routines using the finite difference/finite element method for simulating the dynamics of predator-prey interactions modelled by a nonlinear reaction-diffusion system by means of Implicit-Symplectic Schemes.