Results 71 to 80 of about 158,007 (285)

Bit Representation Can Improve SDP Relaxations of Mixed-Integer Quadratic Programs [PDF]

open access: yes, 2018
A standard trick in integer programming is to replace bounded integer variables with binary variables, using a bit representation. In a previous paper, we showed that this process can be used to improve linear programming relaxations of mixed-integer ...
Galli, Laura   +2 more
core  

Exact computation of GMM estimators for instrumental variable quantile regression models

open access: yes, 2017
We show that the generalized method of moments (GMM) estimation problem in instrumental variable quantile regression (IVQR) models can be equivalently formulated as a mixed integer quadratic programming problem.
Chen, Le-Yu, Lee, Sokbae
core   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

A multi-step mixed integer programming heuristic for warehouse layout optimization

open access: yesSupply Chain Analytics
Warehouse layout optimization is critical to inventory and logistics management in organizations. In many instances, limited warehouse space is a constraint and a barrier to expanding operations and increasing demand.
Sanjaya Mayadunne   +2 more
doaj   +1 more source

On optimizing over lift-and-project closures [PDF]

open access: yes, 2010
The lift-and-project closure is the relaxation obtained by computing all lift-and-project cuts from the initial formulation of a mixed integer linear program or equivalently by computing all mixed integer Gomory cuts read from all tableau's corresponding
Bonami, Pierre
core   +2 more sources

Nanozymes Integrated Biochips Toward Smart Detection System

open access: yesAdvanced Science, EarlyView.
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen   +10 more
wiley   +1 more source

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

open access: yesAdvanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku   +10 more
wiley   +1 more source

A Fast and Accurate Self-Healing Scheme for Intelligent Distribution Networks Using Mixed Integer Linear Programming

open access: yesIEEE Access
Fast and accurate self-healing after faults is an important way to improve the reliability of distribution networks. To improve the self-healing speed and accuracy of distribution networks, this paper proposes a fast and accurate self-healing scheme for ...
Jiangang Lu   +5 more
doaj   +1 more source

Optimal Antibody Purification Strategies Using Data-Driven Models

open access: yesEngineering, 2019
This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
doaj   +1 more source

Some lower bounds on sparse outer approximations of polytopes [PDF]

open access: yes, 2014
Motivated by the need to better understand the properties of sparse cutting-planes used in mixed integer programming solvers, the paper [2] studied the idealized problem of how well a polytope is approximated by the use of sparse valid inequalities.
Dey, Santanu S.   +2 more
core  

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