Matrix Multiplication and Heap Data Structure

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Page 2 of 3

Covers matrix notation, arithmetic, multiplication, algorithms, and complexity of matrix multiplication.

Introduces dynamic programming with a focus on rod cutting and matrix chain multiplication.

Covers divide-and-conquer in matrix multiplication, recursion trees, the master method, maximum-subarray problem, and smart algorithm.

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

Covers O-Notation, local extrema, and critical points in functions.

Covers dynamic programming techniques for solving the rod cutting and matrix chain multiplication problems.

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

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

Covers matrix multiplication, properties, and the identity matrix in algebraic operations.

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