The problem of PAPR minimization is well-studied in the literature. However, most of the algorithms have high computational costs, making them impractical for real-time applications. To that end, we ...

Warner Bros. Discovery’s Split Gives Company Flexibility But Doesn’t Solve Problem of Debt, Linear Decline | Analysis Pro The irony of the decoupling is that Wall Street likes the the new M&A ...

Grok says it’s ‘skeptical’ about Holocaust death toll, then blames ‘programming error’ Anthony Ha 12:52 PM PDT · May 18, 2025 ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

Bolte, J., Sabach, S. and Teboulle, M. (2013) Proximal Alternating Linearized Minimization for Nonconvex and Non-Smooth Problems. Mathematical Programming, 146, 459-494.

In this paper, we use the weak Galerkin (WG) finite element method to solve the mixed form linear elasticity problem. In the mixed form, we get the discrete of proximation of the stress tensor and the ...

A study says that engineers who use the popular AI programming assistant GitHub Copilot don't experience any significant gains in efficiency.

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