Results 171 to 180 of about 541,400 (289)

A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles

Networks, Volume 88, Issue 3, Page 295-312, October 2026.
ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette, Michel Gendreau, Walter Rei   +2 more
wiley   +1 more source

Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer

Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.
ABSTRACT We consider a multidimensional polychromatic radiative transfer (RT) problem, accounting for scattering processes in a general form, that is, anisotropic (dipole) scattering with partial frequency redistribution. Given a discrete ordinates (SN$$ {S}_N $$) discretization, we report the corresponding matrix structures, depending on the model and
Pietro Benedusi, Simone Riva, Luca Belluzzi, Stefano Serra‐Capizzano   +3 more
wiley   +1 more source

A Randomized Algorithm for Simultaneously Diagonalizing Symmetric Matrices by Congruence

Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.
ABSTRACT A family of symmetric matrices A1,…,Ad$$ {A}_1,\dots, {A}_d $$ is simultaneously diagonalizable by congruence (SDC), also called nonorthogonal joint diagonalization, if there is an invertible matrix X$$ X $$ such that every XTAkX$$ {X}^T{A}_kX $$ is diagonal. In this work, a novel randomized SDC (RSDC) algorithm is proposed that reduces SDC to
Haoze He, Daniel Kressner
wiley   +1 more source

Constructing mesoscale functionomics by neural dynamics subspace clustering. [PDF]

Natl Sci Rev
Cai Y, Xu X, Xiao G, Ling H, Shi Z, Wang M, Wang M, Chen F, Wu J, Dai Q.   +9 more
europepmc   +1 more source

Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification. [PDF]

BMC Med Genomics, 2019
Guo Y, Li H, Cai M, Li L.
europepmc   +1 more source

An Integrated Gradient Boosting Machine Approach With Fisher's Discriminant Analysis: Empirical Assessment on Five Benchmark Datasets and Simulations

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.
ABSTRACT The aim of this study is to assess the impact of different dimensionality reduction techniques—specifically Principal Component Analysis (PCA) and Fisher's Linear Discriminant Analysis (LDA)—on the classification performance of Gradient Boosting Machines (GBM).
Giulio Enzo Donninelli, Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

Multi-view graph-regularized deep metric subspace clustering network. [PDF]

PLoS One
Luo P, Yang M, Peng C, Wang Q.
europepmc   +1 more source

Dimensionality Reduction Techniques for Analyzing Tsunami Simulations in Hazard Assessment and Forecasting Applications

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract A wide selection of linear and non‐linear dimensionality reduction techniques is evaluated on synthetic tsunami data that is the basis for tsunami hazard assessment and computational forecasting. The data were computed from earthquake rupture forecasts (ERFs) supplying initial generation conditions and a linear long‐wave Green's function ...
Eric L. Geist, Tom Parsons
wiley   +1 more source

Interband Consistency-Driven Structural Subspace Clustering for Unsupervised Hyperspectral Band Selection. [PDF]

Sensors (Basel)
Wang Z, Wang W.
europepmc   +1 more source

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. [PDF]

Sensors (Basel), 2019
Hoppenstedt B, Reichert M, Kammerer K, Probst T, Schlee W, Spiliopoulou M, Pryss R.   +6 more
europepmc   +1 more source