Hybrid Conferencee

International Conference on Mathematical Foundations of Numerical Analysis (ICMFNA - 26)

31st - 1st September 2026 | Copenhagen, Denmark

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Certificate of Presentation:
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Networking with Global Experts:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Foundations of Numerical Analysis

This track focuses on the theoretical underpinnings of numerical analysis, exploring the mathematical principles that govern numerical methods. Contributions should emphasize the foundational aspects that enhance the understanding and application of numerical techniques.

Track 02

Approximation Theory and Its Applications

This session will delve into the various approximation techniques used in numerical analysis, highlighting their mathematical formulations and practical applications. Papers are encouraged to discuss both classical and modern approaches to approximation.

Track 03

Convergence and Stability in Numerical Methods

This track addresses the critical concepts of convergence and stability in numerical algorithms, providing a platform for discussing rigorous proofs and theoretical insights. Researchers are invited to present novel findings that enhance our understanding of these essential properties.

Track 04

Error Analysis and Bounds

This session focuses on the assessment of errors in numerical methods, including the derivation of error bounds and their implications for algorithm performance. Contributions should explore both theoretical and practical aspects of error analysis.

Track 05

Discretization Techniques in Numerical Analysis

This track will examine various discretization methods used in numerical analysis, including finite difference and finite volume approaches. Papers should discuss the mathematical formulation, advantages, and limitations of these techniques.

Track 06

Functional Analysis in Numerical Methods

This session highlights the role of functional analysis in the development and analysis of numerical methods. Submissions should explore how functional spaces and operators influence the behavior of numerical algorithms.

Track 07

Numerical Solutions of Partial Differential Equations

This track focuses on innovative numerical techniques for solving partial differential equations, emphasizing both theoretical and computational aspects. Researchers are encouraged to present new methods and their applications in various fields.

Track 08

Iterative Methods for Numerical Solutions

This session will cover the development and analysis of iterative methods for solving linear and nonlinear problems. Contributions should focus on convergence properties, efficiency, and practical implementations of these methods.

Track 09

Finite Element Methods: Theory and Applications

This track will explore the theoretical foundations and practical applications of finite element methods in numerical analysis. Papers should address both the mathematical formulation and real-world case studies demonstrating the effectiveness of these methods.

Track 10

Spectral Methods in Computational Mathematics

This session will investigate the use of spectral methods in solving differential equations and other mathematical problems. Contributions should highlight the advantages of spectral approaches and their computational efficiency.

Track 11

Advancements in Numerical Algorithms

This track focuses on the latest advancements in numerical algorithms, including new techniques and improvements to existing methods. Researchers are invited to share innovative approaches that enhance computational performance and accuracy.