Primal-dual methods in online optimization give several of the state-of-the art results in both of the most common models: adversarial and stochastic/random order. Here we try to provide a more ...
Abstract: This letter proposes an algorithm for solving finite-time nonlinear optimal control problems. The proposed method employs the Gauss pseudospectral method to transform the optimal control ...
Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...
Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...
Abstract: Gauss’s principle of least constraint transforms a dynamics problem into a pure minimization framework. We show that this minimization problem is a Strongly Convex Quadratic Programming ...
Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...
When Loren Levy’s son Simon was little, he loved watching “Thomas & Friends,” the British cartoon about a talking train. That changed when Simon turned 8 and began watching videos on YouTube. “Now, ...
import numpy as np import pytest import torch class TestBoxIoURotated: @pytest.mark.skipif( not torch.cuda.is_available(), reason='requires CUDA support') def test ...
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