Hybrid Conferencee

International Conference on Numerical Optimization and Computational Techniques (ICNOCT - 26)

18th - 19th September 2026 | Prague, Czech Republic

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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 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Numerical Optimization Techniques

This track focuses on the latest developments in numerical optimization methods, emphasizing innovative algorithms and their theoretical foundations. Participants will explore cutting-edge techniques that enhance optimization efficiency and accuracy.

Track 02

Convex Optimization: Theory and Applications

This session delves into the principles of convex optimization, highlighting its significance in various fields. Researchers will present novel applications and theoretical advancements that leverage convex structures for problem-solving.

Track 03

Nonlinear Optimization Challenges and Solutions

This track addresses the complexities associated with nonlinear optimization problems, including convergence issues and solution robustness. Contributions will include both theoretical insights and practical approaches to overcoming these challenges.

Track 04

Gradient-Based Methods in Optimization

Focusing on gradient methods, this session will cover both classical and modern approaches to optimization. Attendees will gain insights into the efficiency and applicability of these methods in various scenarios.

Track 05

Stochastic Optimization Techniques

This track explores stochastic optimization methods that incorporate uncertainty into the optimization process. Researchers will discuss algorithms that effectively handle randomness and their applications in real-world problems.

Track 06

Numerical Algorithms for Constrained Optimization

This session highlights numerical algorithms specifically designed for constrained optimization problems. Participants will examine various techniques and their effectiveness in maintaining feasibility while optimizing objectives.

Track 07

Heuristic Methods in Optimization

This track focuses on heuristic approaches to optimization, emphasizing their practical applications and effectiveness in solving complex problems. Presenters will share case studies and methodologies that illustrate the power of heuristics.

Track 08

Global Optimization Strategies

This session will cover global optimization techniques that aim to find the best solutions across entire solution spaces. Researchers will discuss various strategies and their implications for solving non-convex problems.

Track 09

Variational Methods in Applied Mathematics

This track investigates the role of variational methods in applied mathematics, particularly in optimization contexts. Participants will explore theoretical developments and practical applications that demonstrate the versatility of these methods.

Track 10

Numerical Analysis in Engineering Applications

Focusing on the intersection of numerical analysis and engineering, this session will showcase methods that enhance engineering design and analysis. Contributions will highlight case studies where numerical techniques have led to significant advancements.

Track 11

Simulation Techniques in Numerical Optimization

This track examines the integration of simulation techniques with numerical optimization methods. Researchers will present innovative approaches that utilize simulation to inform and enhance optimization processes.