Lectures related to Strassen algorithm

Matrix Multiplication and Divide-and-Conquer Techniques

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

Matrix-Matrix Multiplication: Algorithms and Applications

Explores theoretical and practical aspects of fast matrix-matrix multiplication algorithms and their significance in computer science.

Gauss-Seidel Method

Covers the Gauss-Seidel method for solving linear systems through progressive substitution and iterative processes.

Matrix Multiplication: Strassen's Algorithm

Introduces matrix multiplication and Strassen's algorithm, covering divide-and-conquer approach, data structures like heaps, and MAX-HEAPIFY operation.

Matrix Multiplication and Heap Data Structure

Covers the divide-and-conquer algorithm for matrix multiplication and introduces the (binary) heap data structure.

Matrix Multiplication and Heaps: Efficient Algorithms

Discusses Strassen's algorithm for matrix multiplication and heaps, covering efficient algorithms and their applications in computer science.

Matrix Multiplication: Divide-and-Conquer

Explores the Divide-and-Conquer algorithm for matrix multiplication, including Strassen's Method and its significance in optimizing time complexity.

Row Echelon Form: Gauss-Jordan Algorithm

Covers row echelon forms and the Gauss-Jordan algorithm for solving linear systems.

Linear Equations and Matrices

Explores linear equations, matrices, and the Gauss-Jordan algorithm for efficient system solving.

Linear Projective Groups

Explores linear projective groups, quaternions, subgroup generation, and normality.

Linear Algebra: Inverse Matrix and Systems Resolution

Covers the concept of inverse matrices and systems resolution, including the conditions for matrix invertibility and the Gauss-Jordan algorithm.

Algorithms for Big Numbers: Z_n and Orders

Covers algorithms for big numbers, Z_n, and orders in a group, explaining arithmetic operations and cryptographic concepts.

Matrix Multiplication: Algorithms and Complexity

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

Matrix Multiplication: Algorithms and Complexity

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

Quantum Trajectories: Lindblad Equation and Measurements

Covers the stochastic Schrödinger equation, Lindblad equation, and continuous measurements in quantum optics.