Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Scientific Research Publishing

Leaning Sparse Nonlinear Dynamical Systems via Frank-Wolfe Algorithm with Integral Strategy ()

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
Nature

An improved dynamic programming algorithm by integrating discrete differential and successive approximation for real time control of urban drainage systems

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...
Nature

Accurate and efficient P-values for rank-based independence tests with clustered data using a saddlepoint approximation

In statistical inference, accurately assessing independence between variables is a cornerstone problem, pivotal across diverse scientific and medical disciplines. From evaluating the efficacy of new ...
GitHub

Ramer-Douglas-Peucker Algorithm

WARNING: THIS PROJECT IS NO LONGER MAINTAINED. Python/NumPy implementation of the Ramer-Douglas-Peucker algorithm (Ramer 1972; Douglas and Peucker 1973) for 2D and 3D data. The Ramer-Douglas-Peucker ...
New Scientist

Quantum-inspired algorithm could enable better weather forecasts

Quantum-inspired algorithms can simulate turbulent fluid flows on a classical computer much faster than existing tools, slashing computation times from several days on a large supercomputer to just ...
Risk

Pricing high-dimensional Bermudan options using deep learning and higher-order weak approximation

This paper proposes a new deep-learning-based algorithm for high-dimensional Bermudan option pricing. To the best of our knowledge, this is the first study of the arbitrary-order discretization scheme ...
IEEE

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

Abstract: The increased development of quantum computing hardware in recent years has led to increased interest in its application to various areas. Finding effective ways to apply this technology to ...
Searchenginejournal.com

Google PageRank Explained for SEO Beginners

PageRank is a Google algorithm for ranking pages based on the flow of authority via links, created by Larry Page and Sergey Brin. PageRank was once at the very core of search – and was what made ...
IEEE

Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm

Abstract: Hyperspectral images (HSIs) have always played an important role in remote sensing applications. Anomaly detection has become a hot spot in HSI processing in recent years. The popular ...