
Explore vector fields, divergence, and curl in mathematics. Learn about the del operator and its applications with dot and cross products to analyze vector field properties.

Explore eigenvalues and eigenvectors in linear algebra, their importance in math and physics, and learn how to find them through clear explanations and examples.

Learn to calculate matrix inverses using Elementary Row Operations (ERO's) with clear explanations and worked examples for 2x2 and 4x4 matrices, including the case of non-invertible matrices.

Comprehensive tutorial on solving linear equations using matrices and elementary row operations, with worked examples and practice resources for self-study.

Learn to solve Systems of Linear Equations using the Elimination Method when opposite terms are not initially provided, enhancing your problem-solving skills.

Explores learning-based algorithms for low-rank matrix approximation, focusing on optimizing sketching matrices using training data to significantly reduce approximation errors in efficient computational methods.

Explore modular representations of p-adic groups in the Langlands program, examining their connections to number theory and geometry using various vector spaces and modules.

Explore matroid theory's origins, connections, and recent geometric advances in combinatorial mathematics, highlighting matroid polytope, Bergman fan, and conormal fan models.