A project for Harvard's Data Structures and Algorithms course. Optimized Strassen's Matrix Multiplication algorithm by crossing over to conventional matrix multiplication algorithm once recursion ...
This code implements Strassen's algorithm for matrix multiplication using Python. Strassen's algorithm is a recursive algorithm that uses matrix partitioning to reduce the number of multiplications ...
Abstract: Matrix multiplication is a cornerstone operation in a wide array of scientific fields, including machine learning and computer graphics. The standard ...
Abstract: High-speed and low-area Kalman filter (KF) algorithms are critical in autonomous vehicles, robotics, military, target tracking, and other applications. KF requires a large number of matrix ...
Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one ...
Matrix multiplication is at the heart of many computational tasks, including neural networks, 3D graphics... DeepMind recently introduced AlphaTensor, a deep reinforcement learning approach based on ...
ABSTRACT: The first error theory and bounds for Fast Matrix Multiplication based on the Strassen-Winograd algorithms (FastMMW) were formulated in the 70s. The theory ...
ABSTRACT: The first error theory and bounds for Fast Matrix Multiplication based on the Strassen-Winograd algorithms (FastMMW) were formulated in the 70s. The theory ...
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