Abstract: In many areas of knowledge, situations in which we have to model and solve optimization problems are recurrent. Among the mathematical theories that support the solution of such problems, ...

The UH faculty in applied mathematics and computational sciences is internationally recognized for research achievement and teaching. We have excellent computing resources and the university library ...

Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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Mobile payments have significantly influenced digital entertainment. Users increasingly rely on digital wallets, online ...

All speedups measured vs vendored llama.cpp (-fa 1, matching KV quant). Combined = geometric mean √(TTFT × decode) where both phases benched; otherwise the single-phase speedup. Drafters published on ...

From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media. Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, David R. Mortensen, Taylor Berg-Kirkpatrick, ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...