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Mathematical optimization

Known as: Mathematical programming, Optimal, Searching the search space 
In mathematics, computer science and operations research, mathematical optimization (alternatively, mathematical programming or simply, optimization… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or… Expand
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Review
2020
Review
2020
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
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Review
2019
Review
2019
Recent research in inverse problems seeks to develop a mathematically coherent foundation for combining data-driven models, and… Expand
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Review
2019
Review
2019
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments… Expand
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Review
2019
Review
2019
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand
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Review
2019
Review
2019
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand
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Review
2019
Review
2019
This paper provides an introduction and overview of recent work on control barrier functions and their use to verify and enforce… Expand
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Review
2019
Review
2019
Abstract In population-based optimization algorithms (POAs), given an optimization problem, the quality of the solutions depends… Expand
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Review
2019
Review
2019
We review probabilistic constellation shaping (PCS), which has been a key enabler for several recent record-setting optical fiber… Expand
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Review
2019
Review
2019
Single-photon detectors and nanoscale superconducting devices are two major candidates for realizing quantum technologies… Expand
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