Aims & Scope

Aims:

 Nonlinear Analysis and Computer Simulations (NACS) is a gold open access, peer-reviewed journal dedicated to advancing the understanding of nonlinear phenomena through the synergistic integration of rigorous mathematical analysis and excellence in computational and graphical computer methods.

The journal NACS publishes high-impact original research papers and review articles centered on nonlinear analytical models. A defining characteristic of papers in NACS is that theoretical findings must be substantiated by advanced computer simulations, encompassing both numerical computation and scientific visualization. It is published quarterly online by Scilight Press.

Scope:

The journal NACS focuses on theoretical mathematical modeling where innovative computer algorithms and simulations play a fundamental role in elucidating, exploring, and visualizing complex solutions. Nonlinearity is inherent to modern complex systems, and computational methods are uniquely positioned to unravel and depict these intricate behaviors. NACS particularly welcomes contributions that successfully bridge mathematical theory with significant computational and graphical experimentation.

Key Research Areas Include (but are not limited to):

Theoretical Mathematical Modeling & Analysis:

  • Nonlinear Differential Equations
  • Dynamical Systems
  • Stability Analysis
  • Optimization
  • Chaos and Bifurcations
  • Nonlinear Wave Dynamics and Solitons
  • Multiscale and Stochastic Models
  • Complex Networks and Graphs
  • Number Theory (with relevance to nonlinear phenomena/computation)

Computational & Graphical Methods:

  • Advanced Numerical Methods
  • Machine Learning (applied to modeling/simulation/analysis)
  • Signal and Data Analysis
  • Image Analysis and Processing
  • Scientific Software Development and Visualization

Interdisciplinary Bridge: 

Recognizing the critical role of nonlinear modeling across disciplines, NACS also places special emphasis on mathematical computational models applied to practical fields such as Engineering, Physics, Computational Science, Biology, and any interdisciplinary domain grappling with complex nonlinear problems. The journal actively promotes the integration of theoretical insights with tangible applications.