SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...
Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...
Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
Bored Panda on MSN
The uncanny mind: 54 accounts of high-level cognitive behavior
You get smart. Then you get uncomfortably smart. That rare, off-the-charts, stop-everyone-in-their-tracks type of ...
GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems
Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Dot Physics on MSN
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 ...
The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...
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