10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

4th - 5th November 2026 | Vitoria, Brazil

International Conference on Numerical Linear Algebra and Matrix Computations (ICNLAMC - 26)

Apply to Present Register as Listener
Register for Participation → View available registration categories.
4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICNLAMC) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Numerical Methods, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Numerical methods for matrix computations
02
Applications of linear algebra in computing
03
Iterative methods for large matrices
04
Matrix factorization techniques and applications
05
Numerical stability in matrix algorithms
06
Eigenvalue problems in numerical linear algebra
07
Matrix computations in machine learning
08
Parallel algorithms for matrix operations
09
Sparse matrix techniques and applications
10
Numerical methods for structured matrices
11
Matrix computations in optimization problems
12
Applications in data science and analytics
13
Matrix methods for differential equations
14
Numerical methods for singular value decomposition
15
Robustness in matrix algorithms
16
Numerical linear algebra in scientific computing
17
High-performance matrix computations
18
Numerical methods for large-scale systems
19
Recent developments in matrix algorithms
20
Future directions in numerical linear algebra

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.