Call For Papers
The ICNLAMC aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Numerical Methods, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Numerical methods for matrix computations
- Applications of linear algebra in computing
- Iterative methods for large matrices
- Matrix factorization techniques and applications
- Numerical stability in matrix algorithms
- Eigenvalue problems in numerical linear algebra
- Matrix computations in machine learning
- Parallel algorithms for matrix operations
- Sparse matrix techniques and applications
- Numerical methods for structured matrices
- Matrix computations in optimization problems
- Applications in data science and analytics
- Matrix methods for differential equations
- Numerical methods for singular value decomposition
- Robustness in matrix algorithms
- Numerical linear algebra in scientific computing
- High-performance matrix computations
- Numerical methods for large-scale systems
- Recent developments in matrix algorithms
- Future directions in numerical linear algebra
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.