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Finding the maximum projectile range with Python functions
Learn how to calculate the maximum projectile range using Python functions. This tutorial demonstrates step-by-step coding techniques to simulate projectile motion, optimize range, and understand ...
Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
Abstract: We present fully polynomial approximation algorithm for generalized maximum concurrent flow problem with budget constraint that run in time independent of the number of commodities k. We ...
(a) Performance of two adiabatic paths for finding the maximum independent set. (b) Performance of traditional heuristic adiabatic paths for finding independent sets. Quantum annealing, as a prominent ...
1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...
Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...
Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...
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