O-Notation, Local Extrema

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Explores derivatives, O-Notation, extrema, and algorithm complexity in Analysis 1.

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Covers the Mean Value Theorem in differential calculus, focusing on critical points and global extrema within intervals.

Covers the basic operations on matrices, including addition, scalar multiplication, and matrix multiplication.

Covers matrix multiplication, properties, and inverses in linear algebra.

Covers the basics of matrix multiplication, including properties and examples.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Covers recursion trees, the maximum subarray problem, and matrix multiplication approaches.

Covers the definition and basic operations of matrices, including addition, scalar multiplication, and matrix multiplication.