International Conference on Variational Methods and Optimization in Applied Mathematics

ICVMOAM

10th Aug – 11th Aug 2026 Jerez de la Frontera, Spain

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Registration Summary

Conference ICVMOAM

Date 10th Aug – 11th Aug 2026

Location Jerez de la Frontera, Spain

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Variational Methods in Optimization +

This track focuses on the application of variational methods to solve complex optimization problems. Participants will explore theoretical advancements and practical implementations in various fields.

SDG 9 SDG 12

02 Mathematical Modeling and Simulation Techniques +

This session emphasizes the development and application of mathematical models to simulate real-world phenomena. Attendees will discuss innovative modeling approaches and their implications in applied mathematics.

SDG 4 SDG 9

03 Numerical Methods for Optimization Problems +

This track delves into the latest numerical techniques for solving optimization problems across diverse applications. Researchers will present their findings on efficiency, accuracy, and convergence of these methods.

SDG 9 SDG 12

04 Algorithms in Applied Mathematics +

This session highlights cutting-edge algorithms that address challenges in applied mathematics. Discussions will include algorithm design, analysis, and their practical applications in various domains.

SDG 9 SDG 12

05 Probability and Risk Analysis in Decision Making +

This track explores the integration of probability theory and risk analysis in decision-making processes. Participants will examine case studies and methodologies that enhance quantitative decision-making.

SDG 8 SDG 16

06 Control Theory and Its Applications +

This session focuses on the principles of control theory and its application in engineering and technology. Researchers will share insights on system dynamics, stability, and optimization techniques.

SDG 9 SDG 11

07 Data Science and Predictive Analytics +

This track investigates the intersection of data science and predictive analytics in applied mathematics. Participants will discuss methodologies for data-driven decision-making and forecasting.

SDG 9 SDG 17

08 Machine Learning Techniques in Applied Mathematics +

This session examines the role of machine learning in solving mathematical problems and enhancing predictive models. Attendees will explore novel algorithms and their applications in various fields.

SDG 9 SDG 4

09 Computational Methods in Mathematical Research +

This track highlights the use of computational methods in advancing mathematical research. Presentations will cover software tools, simulations, and computational techniques that facilitate complex analyses.

SDG 9 SDG 12

10 Statistical Modeling and Applied Statistics +

This session focuses on the development and application of statistical models in real-world scenarios. Researchers will share their experiences and methodologies in applied statistics.

SDG 4 SDG 8

11 Quantitative Analysis in Industry Applications +

This track explores quantitative analysis techniques applied in various industries, including finance, healthcare, and engineering. Participants will discuss case studies and innovative approaches to quantitative problem-solving.

SDG 8 SDG 9