Supervised Learning Algorithms on Factors Impacting Retweet / Zhu, Jiahua, author.

Non-linear Geometric PDEs: Algorithms, Numerical Analysis and Computation / Ntogkas, Dimitrios

Incremental Proper Orthogonal Decomposition for PDE Simulation Data: Algorithms and Analysis /

Scalable Hybrid Schwarz Domain Decomposition Algorithms to Solve Advection-Diffusion Problems /

Information Based Management of Transport Networks: New Models, Algorithms and Insights / Tan, Zhen

Efficient Algorithms for a Class of Space-Time Stochastic Models / Reyes, Brandon C., author.

Algorithms and Algorithmic Obstacles for Probabilistic Combinatorial Structures / Li, Quan, author.

, and are described in algorithms for software implementations.

analytically. Adaptive algorithms expend the right amount of computational effort to meet the error tolerance

-of-the-art algorithms on large, ill-conditioned problems. We discuss applications of the method to electronic structure

denoising on several well-known images. Efficient algorithms for computing the eigen-decomposition of the

recommendation tasks by adapting ideas from metric learning and knowledge-graph completion. These algorithms

Current Lagrangian (particle-tracking) algorithms used to simulate diffusion-reaction equations

synthesis bi-frame algorithms, have been introduced. Moreover, these multiple bi-frame algorithms play an

efficiency, but at costs: a) The algorithms perform poorly on real data that does not necessarily follow

-reduction algorithms. The techniques explored in this work included the quasi-steady-state (QSS) solution, uniform

computation. Many well-known algorithms including Fast Fourier transform and Walsh transform turned out to be

of rank structured algorithms is an emerging research topic, our work may be a valuable reference for

The algorithms proposed in both of the two parts are adaptive test plans which are deterministic