Results 81 to 90 of about 3,465,725 (297)

Modeling Languages and Condor: Metacomputing for Optimization [PDF]

, 1998
A generic framework for utilizing the computational resources provided by a metacomputer to concurrently solve several optimization problems generated by a modeling language is postulated. A mechanism using the Condor resource manager and the AMPL and
Ferris, Michael, Michael C. Ferris, Todd S. Munson, Munson, Todd   +3 more
core  

Two-row and two-column mixed-integer presolve using hashing-based pairing methods

EURO Journal on Computational Optimization, 2020
In state-of-the-art mixed-integer programming solvers, a large array of reduction techniques are applied to simplify the problem and strengthen the model formulation before starting the actual branch-and-cut phase.
Patrick Gemander, Wei-Kun Chen, Dieter Weninger, Leona Gottwald, Ambros Gleixner, Alexander Martin   +5 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Entropic regularization approach for mathematical programs with equilibrium constraints [PDF]

A new smoothing approach based on entropic perturbation is proposed for solving mathematical programs with equilibrium constraints. Some of the desirable properties of the smoothing function are shown.
Fang, S.-C., Han, J., Birbil, S.I.
core   +2 more sources

Modelling and Optimizing Mathematics Learning in Children

International Journal of Artificial Intelligence in Education, 2013
This study introduces a student model and control algorithm, optimizing mathematics learning in children. The adaptive system is integrated into a computer-based training system for enhancing numerical cognition aimed at children with developmental dyscalculia or difficulties in learning mathematics.
Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster, Markus H. Gross   +7 more
openaire   +3 more sources

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Predicting Feynman periods in ϕ 4-theory

Journal of High Energy Physics
We present efficient data-driven approaches to predict the value of subdivergence-free Feynman integrals (Feynman periods) in ϕ 4-theory from properties of the underlying Feynman graphs, based on a statistical examination of almost 2 million graphs.
Paul-Hermann Balduf, Kimia Shaban
doaj   +1 more source

Model-Based Simulation of Maintenance Therapy of Childhood Acute Lymphoblastic Leukemia

Frontiers in Physiology, 2020
Acute lymphoblastic leukemia is the most common malignancy in childhood. Successful treatment requires initial high-intensity chemotherapy, followed by low-intensity oral maintenance therapy with oral 6-mercaptopurine (6MP) and methotrexate (MTX) until 2–
Felix Jost, Jakob Zierk, Thuy T. T. Le, Thomas Raupach, Manfred Rauh, Meinolf Suttorp, Martin Stanulla, Markus Metzler, Sebastian Sager, Sebastian Sager   +9 more
doaj   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Approximation of an Optimal BV -Control Problem in the Coefficient for the p(x)-Laplace Equation

Journal of Optimization, Differential Equations and Their Applications
We study a Dirichlet optimal control problem for a quasilinear monotone elliptic equation with the so-called weighted p(x)-Laplace operator. The coefficient of the p(x)-Laplacian, the weight u, we take as a control in BV (Ω) ∩ L∞(Ω).
Ismail Aydin, Peter Kogut
doaj   +1 more source