June 02 - June 05, 2026
SIAM Conference on Optimization
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Overview
The SIAM Conference on Optimization showcases the latest research in the theory, algorithms, software, and applications of optimization. It brings together mathematicians, operations researchers, computer scientists, engineers, software developers, and practitioners, fostering an ideal environment for exchanging new ideas and addressing significant challenges. The conference serves as a platform for specialists and users of optimization in academia, government, and industry to collaborate and share insights. Included Themes: Foundational Themes: Conic and linear optimization Derivative-free optimization Game theory and equilibrium problems Geometric perspectives in optimization Graphs and network optimization Integer optimization Nonlinear optimization PDE-constrained optimization Polynomial and global optimization Stochastic and robust optimization Variational inequalities and nonsmooth optimization Application Themes: Optimization in data science Optimization in health care Optimization in energy Optimization in control systems Optimization in quantum computing Optimization in science and engineering Optimization in machine learning/artificial intelligence
Call for papers
The SIAM Conference on Optimization showcases the latest research in the theory, algorithms, software, and applications of optimization. It brings together mathematicians, operations researchers, computer scientists, engineers, software developers, and practitioners, fostering an ideal environment for exchanging new ideas and addressing significant challenges. The conference serves as a platform for specialists and users of optimization in academia, government, and industry to collaborate and share insights.
Included Themes:
Foundational Themes:
Conic and linear optimization
Derivative-free optimization
Game theory and equilibrium problems
Geometric perspectives in optimization
Graphs and network optimization
Integer optimization
Nonlinear optimization
PDE-constrained optimization
Polynomial and global optimization
Stochastic and robust optimization
Variational inequalities and nonsmooth optimization
Application Themes:
Optimization in data science
Optimization in health care
Optimization in energy
Optimization in control systems
Optimization in quantum computing
Optimization in science and engineering
Optimization in machine learning/artificial intelligence
Important Dates
Conference Dates
Conference Date
June 2, 2026 → June 5, 2026
Source Rank
Source: CORE2023
Rank: C
Field of Research: Artificial intelligence, No longer used