International Conference on Fast Numerical Algorithms and Applications
(ICFNAA-26)

8th November 2026 || Chandigarh - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Fast Numerical Algorithms and Applications (ICFNAA), scheduled to be held on 8th November 2026 in Chandigarh, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Numerical Methods.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Fast Numerical Algorithms
    This track focuses on the latest developments in fast numerical algorithms that enhance computational efficiency. Researchers are invited to present innovative techniques that significantly reduce computation time while maintaining accuracy. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – High-Performance Computing in Numerical Methods
    This session explores the integration of high-performance computing with numerical methods to solve complex mathematical problems. Contributions that demonstrate the effectiveness of parallel processing and distributed computing are particularly welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 03 – Iterative Methods for Large-Scale Problems
    This track is dedicated to iterative methods designed for large-scale numerical problems, emphasizing convergence speed and stability. Participants are encouraged to share their findings on new algorithms and their applications in various fields. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Direct Solvers for Sparse Systems
    This session highlights advancements in direct solvers specifically tailored for sparse matrix systems. Papers discussing novel approaches that improve efficiency and scalability in solving large sparse linear systems are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Krylov Subspace Methods: Theory and Applications
    This track delves into Krylov subspace methods, focusing on their theoretical foundations and practical applications. Researchers are invited to submit papers that explore new variants and their performance in real-world scenarios. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 06 – Preconditioning Techniques for Enhanced Performance
    This session examines various preconditioning techniques that enhance the performance of iterative solvers. Contributions that demonstrate the impact of preconditioning on convergence rates and computational efficiency are highly sought after. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Multigrid Methods: Innovations and Applications
    This track showcases innovations in multigrid methods, emphasizing their application to solve partial differential equations efficiently. Papers that present new algorithms or improvements to existing methods are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Parallel Computing Strategies for Numerical Simulations
    This session focuses on parallel computing strategies that enhance numerical simulations across various disciplines. Researchers are invited to share their experiences and results from implementing parallel algorithms in real-world applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – GPU Acceleration in Numerical Methods
    This track explores the role of GPU acceleration in enhancing the performance of numerical methods. Contributions that highlight successful implementations and performance comparisons with traditional CPU-based approaches are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Error Analysis and Numerical Stability
    This session addresses the critical aspects of error analysis and numerical stability in computational algorithms. Papers that investigate the sources of error and propose methods to mitigate them are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Optimization Algorithms in Applied Mathematics
    This track focuses on optimization algorithms and their applications within the realm of applied mathematics. Researchers are invited to present novel optimization techniques that address complex real-world problems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228