Abstract: In this letter, some low sidelobe linear arrays are synthesized by a hybrid differential evolution (DE) algorithm integrated with convex programming. In the hybrid algorithm, the DE ...

Competitive programming can feel overwhelming, but with the right roadmap, it becomes a structured, rewarding journey. From mastering core computer science concepts to practicing on top platforms, ...

Learn how to develop a project plan, communicate with a diverse group of stakeholders, and achieve your team’s goals efficiently and effectively. In live classes, you'll immediately apply new tools ...

Python’s rich ecosystem of libraries like NumPy and SciPy makes it easier than ever to work with vectors, matrices, and linear systems. Whether you’re calculating determinants, solving equations, or ...

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Abstract: An efficient hybrid method for multiobjective optimization (MO) of time-modulated array (TMA) is proposed. First, by making best use of the convexity in the TMA optimization problem, a set ...

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So, you want to get better at Python? That’s cool. There are a ton of ways to learn, but honestly, just messing around with code and seeing how things work is a pretty solid approach. This article is ...