Mathematical Modelling and Numerical Simulation with Applications (MMNSA) is an international research journal, that publishes top-level original research and review papers on mathematical modeling, theoretical analysis with applications, experimental observation, and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a proper venue for...
Current Issue: Volume 6, Issue 1 (2026)
Original Research Articles
Bifurcation exploration of ion acoustic solitons formation of a nonlinear beta fractional Kadomtsev-Petviashvili Burger model in plasma state
Mst. Razia Pervin, Alrazi Abdeljabbar, Fahad Sameer Alshammari, Mst. Shekha Khatun, and Harun Or-Roshid
Numerical simulations and Hyers-Ulam stability of a novel nonlocal anthropogenic cutaneous leishmaniasis mathematical model
Khalid Fanoukh Al Oweidi, Zakirullah -, Kamal Shah, and Thabet Abdeljawad
Employing effective solution methods for Caputo-based sequential fractional models
Eman A. A. Ziada, Mohamed F. Abouelenein, Hijaz Ahmad, and Monica Botros
Markov-modulated queueing network for mobile traffic aggregation with threshold-controlled buffers
Anton A. Esin and Elmira Yu. Kalimulina
Exact soliton solutions of the nonlinear time-fractional Schrödinger equation via Atangana–Baleanu and M-truncated operators
Bahadır Kopçasiz, Fatma Nur Kaya Sağlam, and Mehmet Şenol
Optimal control and bifurcation analysis of a predator–prey model with self-limiting growth and predator disease
Dipo Aldila, Muhammad Akmal Fasya, Bevina D. Handari, Chidozie Williams Chukwu, and Olumuyiwa James Peter
Dynamical analysis and optimal control of the Mpox transmission model with stratified susceptibility
Tuhfatul Janan, Fatmawati Fatmawati, Cicik Alfiniyah, Santi Martini, Dipo Aldila, and Agus Hasan
Optimal control strategies for infectious diseases: a numerical simulation approach
M. Abu Salek, Jannatun Nayeem, Romana Yesmin, M. Haider Ali Biswas, and M. Humayun Kabir
Measuring market risk through Entropic VaR
Dragomir Nedeltchev and Tsvetelin Zaevski
