Image de couverture de livre

High-dimensional multidisciplinary design optimization for aircraft eco-design / Optimisation multi-disciplinaire en grande dimension pour l'éco-conception avion en avant-projet

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Saves, Paul
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control Machine Learning Mathematical Software
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
par: Saves, Paul, et autres
Publié: (2023)

A Modular Approach to Stochastic Optimisation for Inverse Problems Using the Core Imaging Library
par: Papoutsellis, Evangelos, et autres
Publié: (2026)

An efficient optimization model and tabu search-based global optimization approach for continuous p-dispersion problem
par: Lai, Xiangjing, et autres
Publié: (2024)

SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
par: Saves, Paul, et autres
Publié: (2023)

On a probabilistic global optimizer derived from the Walker slice sampling
par: Gupta, Aditya, et autres
Publié: (2024)

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
par: Saves, Paul, et autres
Publié: (2025)

An 808 Line Phasor-Based Dehomogenisation Matlab Code For Multi-Scale Topology Optimisation
par: Woldseth, Rebekka Varum, et autres
Publié: (2024)

GlycoPy: A CasADi-based Python Framework for Hierarchical Modeling, Optimization, and Control of Bioprocesses
par: Ma, Yingjie, et autres
Publié: (2026)

Improved algorithms and novel applications of the FrankWolfe.jl library
par: Besançon, Mathieu, et autres
Publié: (2025)

A Unified and Scalable Method for Optimization over Graphs of Convex Sets
par: Marcucci, Tobia
Publié: (2025)

Cardinal Optimizer (COPT) User Guide
par: Ge, Dongdong, et autres
Publié: (2022)

An efficient active-set method with applications to sparse approximations and risk minimization
par: Pougkakiotis, Spyridon, et autres
Publié: (2024)

A Practical GPU-Enhanced Matrix-Free Primal-Dual Method for Large-Scale Conic Programs
par: Lin, Zhenwei, et autres
Publié: (2025)

Solving the Convex Flow Problem
par: Diamandis, Theo, et autres
Publié: (2024)

A Unified Funnel Restoration SQP Algorithm
par: Kiessling, David, et autres
Publié: (2024)

Designing a Framework for Solving Multiobjective Simulation Optimization Problems
par: Chang, Tyler H., et autres
Publié: (2023)

MindOpt Adapter for CPLEX Benchmarking Performance Analysis
par: Sun, Mou, et autres
Publié: (2023)

Optimistix: modular optimisation in JAX and Equinox
par: Rader, Jason, et autres
Publié: (2024)

optHIM: Hybrid Iterative Methods for Continuous Optimization in PyTorch
par: Sridhar, Nikhil, et autres
Publié: (2025)

JAX-SSO: Differentiable Finite Element Analysis Solver for Structural Optimization and Seamless Integration with Neural Networks
par: Wu, Gaoyuan
Publié: (2024)

Progressive Bound Strengthening via Doubly Nonnegative Cutting Planes for Nonconvex Quadratic Programs
par: Qu, Zheng, et autres
Publié: (2025)

CDOpt: A Python Package for a Class of Riemannian Optimization
par: Xiao, Nachuan, et autres
Publié: (2022)

An Improved NSGA-II with local search for multi-objective energy-efficient flowshop scheduling problem
par: Pesaru, Vigneshwar, et autres
Publié: (2025)

Learning optimal objective values for MILP
par: Scavuzzo, Lara, et autres
Publié: (2024)

Endpoint-Explicit Differential Dynamic Programming via Exact Resolution
par: Parilli, Maria, et autres
Publié: (2025)

PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python
par: Goujaud, Baptiste, et autres
Publié: (2022)

El0ps: An Exact L0-regularized Problems Solver
par: Guyard, Théo, et autres
Publié: (2025)

Provably Optimal Quantum Circuits with Mixed-Integer Programming
par: Nagarajan, Harsha, et autres
Publié: (2025)

An Efficient Framework for Global Non-Convex Polynomial Optimization over the Hypercube
par: Letourneau, Pierre-David, et autres
Publié: (2023)

An Efficient Framework for Global Non-Convex Polynomial Optimization with Algebraic Constraints
par: Harris, Mitchell Tong, et autres
Publié: (2023)

LIBOPT - An environment for testing solvers on heterogeneous collections of problems - Version 1.0
par: Gilbert, Jean Charles, et autres
Publié: (2007)

Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices
par: Parshakova, Tetiana, et autres
Publié: (2023)

Optimizing Optimizations, Declaratively: Optimizing the Higher-Order Functions in Mathematical Optimization with egglog
par: Ishii, Hiromi
Publié: (2026)

Algorithms for Nonlinear Mixed-Integer Location Estimation
par: Uziel, Ophir, et autres
Publié: (2025)

tvopt: A Python Framework for Time-Varying Optimization
par: Bastianello, Nicola
Publié: (2020)

Parallel Redundancy Removal in lrslib with Application to Projections
par: Avis, David, et autres
Publié: (2024)

Introducing Moment: A toolkit for semi-definite programming with moment matrices
par: Garner, Andrew J. P., et autres
Publié: (2024)

Multilevel Stochastic Gradient Descent for Optimal Control Under Uncertainty
par: Baumgarten, Niklas, et autres
Publié: (2025)

Smoothing Methods for Automatic Differentiation Across Conditional Branches
par: Kreikemeyer, Justin N., et autres
Publié: (2023)

Learning to Optimize by Differentiable Programming
par: Tao, Liping, et autres
Publié: (2026)