project/ │ ├── src/ │ ├── utils.py # Shared utilities (residuals, Newton step, max step, initialization) │ ├── central_path_fixed.py # Fixed-step primal–dual central path algorithm │ ├── ...
Em programação linear, todo problema (chamado de primal) tem um problema correspondente associado a ele, chamado de dual. A relação entre eles é fundamental, pois a solução de um revela informações ...
In this paper, we propose two new perturbation simplex variants. Solving linear programming problems without introducing artificial variables, each of the two uses the dual pivot rule to achieve ...
Abstract: Many techniques for real-time trajectory optimization and control require the solution of optimization problems at high frequencies. However, ill-conditioning in the optimization problem can ...
As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
Abstract: Recently, Nesterov proposed an implementable tensor method for unconstrained convex optimization problems, and showed that the p-th order algorithm converges at a rate of $\mathcal{O}\left( ...
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