Results 61 to 70 of about 124,946 (301)
Business Strategy and the Environment, EarlyView.ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
A semismooth newton method for the nearest Euclidean distance matrix problem
, 2013 The Nearest Euclidean distance matrix problem (NEDM) is a fundamentalcomputational problem in applications such asmultidimensional scaling and molecularconformation from nuclear magnetic resonance data in computational chemistry.Especially in the latter ...
Qi, Houduo
core +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
Chemie Ingenieur Technik, EarlyView.This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
Chemie Ingenieur Technik, EarlyView.This work applies multi‐objective optimization to investigate trade‐offs between different objectives in syngas production with solid‐oxide cell co‐electrolysis. Two system designs are investigated. By systematically exploring tradeoffs between different objectives, insights, and comparisons of the operation of these designs are achieved.
Gbenga Jerome +6 more
wiley +1 more source
A New Transformed Biggs 's Self-Scaling Quasi-Newton Method for Optimization
Zanco Journal of Pure and Applied Sciences, 2019 In our work, we have proposed a new transformation Biggs's self-scaling Quasi-Newton update which is based on the simple idea of approximation for the inverse Hessian matrix.
Basim A. Hassan, Hawraz N. Jabbar
doaj +1 more source
A new semismooth Newton method for solving finite-dimensional quasi-variational inequalities
Journal of Inequalities and Applications, 2021 In this paper, we consider the numerical method for solving finite-dimensional quasi-variational inequalities with both equality and inequality constraints. Firstly, we present a semismooth equation reformulation to the KKT system of a finite-dimensional
Shui-Lian Xie, Zhe Sun, Hong-Ru Xu
doaj +1 more source
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Quasi-Newton Acceleration of EM and MM Algorithms via Broyden’s Method
, 2023 The principle of majorization-minimization (MM) provides a general framework for eliciting effective algorithms to solve optimization problems. However, the resulting methods often suffer from slow convergence, especially in large-scale and high ...
Medha Agarwal (12047927) +1 more
core +1 more source
Ultrafast Transitions in X‐Ray Irradiated Solids
Contributions to Plasma Physics, EarlyView.ABSTRACT In this review, we present current developments on modeling ultrafast transitions in solids triggered by intense, atto‐ to femtosecond pulses from X‐ray free electron lasers. This specific irradiation regime requires dedicated simulation tools based on theoretical and computational methods, involving the elements of classical and quantum ...
Sebastião Antunes +3 more
wiley +1 more source
Action constrained quasi-Newton methods
CoRR, 2014 At the heart of Newton based optimization methods is a sequence of symmetric linear systems. Each consecutive system in this sequence is similar to the next, so solving them separately is a waste of computational effort. Here we describe automatic preconditioning techniques for iterative methods for solving such sequences of systems by maintaining an ...
Robert Mansel Gower, Jacek Gondzio
openaire +2 more sources