ILAS2025 — 26th Conference of the International Linear Algebra Society

Linear algebra, a fundamental subject in mathematics, boasts a multitude of applications across various domains. The theory of positive definite matrices, for instance, plays a pivotal role in operator theory and quantum information. Matrix decompositions offer essential tools for image processing, noise reduction, and data science. Combinatorial matrix theory has deepened connections between graph theory, enumeration, and matrix theory. More than these, linear algebra finds its presence in numerous disciplines and remains an active area of research.