https://www.bain.com/es-co/insights/management-tools-2011-price-optimization-models/
Management Tools - Price Optimization Models | Bain & Company
Aug 7, 2018 - Price Optimization Models are mathematical programs that calculate how demand varies at different price levels, then combine that data with information on...
management toolsprice optimizationmodelsbaincompany
https://www.yokogawa.com/kr/library/resources/white-papers/use-of-online-energy-system-optimization-models/
Use of Online Energy System Optimization Models | Yokogawa Electric Korea Co., Ltd.
Big and complex industrial facilities like Refineries and Petrochemicals are becoming increasingly aware that power systems need to be optimally managed...
energy system optimizationuse of
https://www.bain.com/pt-br/insights/management-tools-2011-price-optimization-models/
Management Tools - Price Optimization Models | Bain & Company
Aug 7, 2018 - Price Optimization Models are mathematical programs that calculate how demand varies at different price levels, then combine that data with information on...
management toolsprice optimizationmodelsbaincompany
https://www.nist.gov/publications/evacnet-prototype-network-optimization-models-building-evacuation
EVACNET: Prototype Network Optimization Models for Building Evacuation. | NIST
network optimizationbuilding evacuationprototypemodelsnist
https://openreview.net/forum?id=187hbHifOr
Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models | OpenReview
We propose Lagrangian Proximal Gradient Descent (LPGD), a flexible framework for learning convex optimization models. Like traditional proximal gradient...
proximal gradientfor learningconvex optimizationlagrangiandescent
https://www.mdpi.com/2071-1050/15/6/5578
Systematic Review of the Time-Cost Optimization Models in Construction Management
The construction sector is a crucial contributor to the national and global economy. Therefore, improving the efficiency and effectiveness of construction...
systematic reviewof thetime costoptimization modelsin construction
https://www.nist.gov/publications/evacnet-prototype-network-optimization-models-building-evacuation-0
EVACNET ::prototype network optimization models for building evacuation | NIST
network optimizationbuilding evacuationprototypemodelsnist
https://www.bain.com/insights/management-tools-2011-price-optimization-models/
Management Tools - Price Optimization Models | Bain & Company
Aug 7, 2018 - Price Optimization Models are mathematical programs that calculate how demand varies at different price levels, then combine that data with information on...
management toolsprice optimizationmodelsbaincompany
https://www.bain.com/it/insights/management-tools-price-optimization-models/
Management Tools - Price Optimization Models | Bain & Company
Jan 27, 2020 - Price Optimization Models are mathematical programs that calculate how demand varies at different price levels, then combine that data with information on...
management toolsprice optimizationmodelsbaincompany
https://www.southampton.ac.uk/research/projects/optimization-models-algorithms-for-network-data-visualization
Optimization Models and Algorithms for Network Data Visualization | University of Southampton
Optimization Models and Algorithms for Network Data Visualization.
optimization modelsfor networkdata visualizationuniversity ofalgorithms
https://builtin.com/data-science/metaheuristic-optimization-python
A Guide to Metaheuristic Optimization for Machine Learning Models in Python | Built In
Metaheuristic optimization methods are an important part of the data science toolkit, and failing to understand them can result in significant wasted...
a guide tomachine learning models
https://deepai.org/publication/large-scale-optimization-algorithms-for-sparse-conditional-gaussian-graphical-models
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models | DeepAI
Sep 15, 2015 - 09/15/15 - This paper addresses the problem of scalable optimization for L1-regularized conditional Gaussian graphical models. Conditional Ga...
large scaleoptimization algorithmsgraphical models
https://arxiv.org/abs/2510.03520
[2510.03520] Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
Abstract page for arXiv paper 2510.03520: Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
https://arxiv.org/abs/2602.05285
[2602.05285] Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
Abstract page for arXiv paper 2602.05285: Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
https://pmc.ncbi.nlm.nih.gov/articles/PMC6394396/
Benchmarking optimization methods for parameter estimation in large kinetic models - PMC
Kinetic models contain unknown parameters that are estimated by optimizing the fit to experimental data. This task can be computationally challenging due to...
optimization methodsparameter estimationkinetic modelsbenchmarking
https://huggingface.co/papers/2404.03715
Paper page - Direct Nash Optimization: Teaching Language Models to Self-Improve with General...
Join the discussion on this paper page
https://www.aanda.org/articles/aa/full_html/2019/12/aa36099-19/aa36099-19.html
Optimization of surface flux transport models for the solar polar magnetic field | Astronomy &...
https://aclanthology.org/2025.findings-emnlp.831/
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter - ACL...
Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu. Findings of the...
large language models
https://openreview.net/forum?id=W9G_ImpHlQd
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective | OpenReview
The lack of adversarial robustness has been recognized as an important issue for state-of-the-art machine learning (ML) models, e.g., deep neural networks...
https://www.mathworks.com/help/sldo/ug/design-optimization-tuning-parameters-in-referenced-models-gui.html
Design Optimization Tuning Parameters in Referenced Models (GUI) - MATLAB & Simulink
This example shows how to tune parameters in referenced models, using the Response Optimizer.
design optimizationtuningparametersreferencedmodels