Middle weak Roman domination is an important graph theory concept that has important applications in defense, network design, optimization, and resource management. A middle weak Roman dominating ...

Issue Summary Pod runtime and cost fields are consistently returning zero values (0h 0m runtime, $0.00 cost) even for pods that have been running for extended periods (minutes to hours).

python machine-learning optimization numpy linear-regression supervised-learning gradient-descent cost-function ml-from-scratch Updated on Apr 16 Jupyter Notebook ...

We propose and analyze a generalized framework for distributed, delayed, and approximate stochastic gradient descent. Our framework considers n local agents who utilize their local data and ...