Karen Willcox
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Aerospace engineer and computational scientist
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Karen Willcoxmathematics Degrees
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Why Is Karen Willcox Influential?
(Suggest an Edit or Addition)According to Wikipedia, Karen Elizabeth Willcox is an aerospace engineer and computational scientist best known for her work on reduced-order modeling and the study of multi-fidelity methods. She is currently the director of the Oden Institute for Computational Engineering and Sciences and professor of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin, Texas.
Karen Willcox's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Kinetics and kinematics for translational motions in microgravity during parabolic flight. (2009) (5487)
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems (2015) (1170)
- Balanced Model Reduction via the Proper Orthogonal Decomposition (2002) (1001)
- Survey of multifidelity methods in uncertainty propagation, inference, and optimization (2018) (552)
- Aerodynamic Data Reconstruction and Inverse Design Using Proper Orthogonal Decomposition (2004) (436)
- Missing Point Estimation in Models Described by Proper Orthogonal Decomposition (2008) (411)
- Unsteady Flow Sensing and Estimation via the Gappy Proper Orthogonal Decomposition (2004) (355)
- Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (2008) (351)
- Data-driven operator inference for nonintrusive projection-based model reduction (2016) (249)
- Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems (2010) (244)
- Model Reduction and Approximation: Theory and Algorithms (2017) (220)
- Non‐linear model reduction for uncertainty quantification in large‐scale inverse problems (2009) (208)
- Large-Scale Inverse Problems and Quantification of Uncertainty (1994) (205)
- Localized Discrete Empirical Interpolation Method (2014) (205)
- Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics (2003) (196)
- Projection-based model reduction: Formulations for physics-based machine learning (2019) (195)
- Goal-oriented, model-constrained optimization for reduction of large-scale systems (2007) (182)
- Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications (2007) (164)
- Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence (2018) (162)
- Multifidelity approaches for optimization under uncertainty (2014) (162)
- Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems (2019) (153)
- Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates (2015) (152)
- Optimal Model Management for Multifidelity Monte Carlo Estimation (2016) (152)
- Data‐driven model reduction for the Bayesian solution of inverse problems (2014) (150)
- Dynamic data-driven reduced-order models (2015) (149)
- Interpolation among reduced‐order matrices to obtain parameterized models for design, optimization and probabilistic analysis (2009) (125)
- Model Order Reduction (2015) (123)
- Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7] (2010) (110)
- A Survey of Model Reduction Methods for Parametric Systems ∗ (2013) (108)
- Simultaneous Optimization of a Multiple-Aircraft Family (2002) (106)
- Multifidelity importance sampling (2016) (99)
- Multifidelity Optimization using Statistical Surrogate Modeling for Non-Hierarchical Information Sources (2015) (89)
- Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition (2018) (88)
- Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives (2012) (88)
- Surrogate Modeling for Uncertainty Assessment with Application to Aviation Environmental System Models (2010) (84)
- Reduced-order aerodynamic models for aeroelastic control of turbomachines (1999) (77)
- A probabilistic graphical model foundation for enabling predictive digital twins at scale (2020) (77)
- Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach (2016) (76)
- An Arnoldi approach for generation of reduced-order models for turbomachinery (2000) (72)
- Explicit Model Predictive Control for Large-Scale Systems via Model Reduction (2008) (72)
- Strategies for Multifidelity Optimization with Variable-Dimensional Hierarchical Models (2006) (70)
- Multifidelity Optimization for Variable-Complexity Design (2006) (69)
- Learning physics-based reduced-order models for a single-injector combustion process (2019) (65)
- Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms (2020) (65)
- Fourier Series for Accurate, Stable, Reduced-Order Models in Large-Scale Linear Applications (2005) (64)
- Hessian‐based model reduction for large‐scale systems with initial‐condition inputs (2008) (62)
- Constrained multifidelity optimization using model calibration (2012) (61)
- Multidisciplinary Design and Optimization of the Silent Aircraft (2006) (61)
- Research and Education in Computational Science and Engineering (2016) (60)
- Proper Orthogonal Decomposition Extensions For Parametric Applications in Transonic Aerodynamics (2003) (60)
- Data-Driven Reduced Model Construction with Time-Domain Loewner Models (2017) (59)
- Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models (2020) (57)
- Scaling digital twins from the artisanal to the industrial (2021) (55)
- Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process (2020) (54)
- Toward predictive digital twins via component-based reduced-order models and interpretable machine learning (2020) (54)
- Engineering Design with Digital Thread (2017) (54)
- Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction (2015) (48)
- Online Education: A Catalyst for Higher Education Reforms (2016) (48)
- Advances in Bayesian Optimization with Applications in Aerospace Engineering (2018) (47)
- A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization (2017) (46)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (2021) (46)
- A MATHEMATICAL AND COMPUTATIONAL FRAMEWORK FOR MULTIFIDELITY DESIGN AND ANALYSIS WITH COMPUTER MODELS (2014) (45)
- Geometric Subspace Updates with Applications to Online Adaptive Nonlinear Model Reduction (2018) (45)
- An Accelerated Greedy Missing Point Estimation Procedure (2016) (45)
- The imperative of physics-based modeling and inverse theory in computational science (2021) (44)
- A Provably Convergent Multifidelity Optimization Algorithm not Requiring High-Fidelity Derivatives (2010) (44)
- Value-Based Multidisciplinary Techniques for Commercial Aircraft System Design (2003) (43)
- Value-Based Multidisciplinary Optimization for Commercial Aircraft Design and Business Risk Assessment (2006) (43)
- Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices (2018) (42)
- Real-time optimization using proper orthogonal decomposition: Free surface shape prediction due to underwater bubble dynamics (2007) (42)
- Mathematics In Engineering: Identifying, Enhancing, And Linking The Implicit Mathematics Curriculum (2004) (41)
- Computational Fluid Dynamics for Architectural Design (2013) (41)
- A decomposition‐based approach to uncertainty analysis of feed‐forward multicomponent systems (2014) (41)
- Monte Carlo Information-Reuse Approach to Aircraft Conceptual Design Optimization Under Uncertainty (2016) (39)
- Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle (2014) (39)
- A Framework for Aircraft Conceptual Design and Environmental Performance Studies (2004) (38)
- Lookahead Bayesian Optimization with Inequality Constraints (2017) (38)
- Multifidelity Uncertainty Propagation via Adaptive Surrogates in Coupled Multidisciplinary Systems (2018) (38)
- Research Laboratory of Electronics (2005) (38)
- Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models (2017) (37)
- MPC for Large-Scale Systems via Model Reduction and Multiparametric Quadratic Programming (2006) (37)
- Gradient-based multifidelity optimisation for aircraft design using Bayesian model calibration (2011) (37)
- Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation (2018) (36)
- Reduced-order, trajectory piecewise-linear models for nonlinear computational fluid dynamics (2004) (34)
- Methodology for Dynamic Data-Driven Online Flight Capability Estimation (2015) (34)
- Multifidelity Dimension Reduction via Active Subspaces (2018) (33)
- Stochastic Gust Analysis Techniques for Aircraft Conceptual Design (2008) (33)
- Model reduction for large-scale CFD applications using the balanced proper orthogonal decomposition (2005) (31)
- Projection-based model reduction for reacting ows (2010) (31)
- Surrogate Modeling Approach to Support Real-Time Structural Assessment and Decision Making (2015) (30)
- An Information-Theoretic Metric of System Complexity with Application to Engineering System Design (2012) (30)
- Uncertainty quantification of an Aviation Environmental Toolsuite (2014) (29)
- A variance-based sensitivity index function for factor prioritization (2012) (28)
- Multifidelity Monte Carlo estimation for large-scale uncertainty propagation (2018) (27)
- An Offline/Online DDDAS Capability for Self-Aware Aerospace Vehicles (2013) (27)
- Contour location via entropy reduction leveraging multiple information sources (2018) (26)
- Data decisions. (2017) (26)
- From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning (2020) (26)
- A Bayesian-Based Approach to Multifidelity Multidisciplinary Design Optimization (2010) (26)
- Dynamic data-driven model reduction: adapting reduced models from incomplete data (2016) (26)
- Detecting and Adapting to Parameter Changes for Reduced Models of Dynamic Data-driven Application Systems (2015) (26)
- Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation (2016) (26)
- Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems (2016) (26)
- Goal-Oriented Inference: Approach, Linear Theory, and Application to Advection Diffusion (2012) (26)
- A surrogate modeling approach to support real-time structural assessment and decision-making (2014) (26)
- MULTIDISCIPLINARY TECHNIQUES FOR COMMERCIAL AIRCRAFT SYSTEM DESIGN (2002) (25)
- AIAA 99 – 1467 LOW ORDER AERODYNAMIC MODELS FOR AEROELASTIC CONTROL OF TURBOMACHINES (1999) (25)
- Influence of Transonic Flutter on the Conceptual Design of Next-Generation Transport Aircraft (2018) (24)
- An Optimization Frame work for Goal-Oriented, Model-Based Reduction of Large-Scale Systems (2005) (23)
- Aeroelastic computations in the time domain using unstructured meshes (1997) (22)
- Hessian‐based model reduction: large‐scale inversion and prediction (2013) (22)
- Dynamic Data Driven Methods for Self-aware Aerospace Vehicles (2012) (22)
- Krylov projection framework for Fourier model reduction (2008) (21)
- Conditional-Value-at-Risk Estimation via Reduced-Order Models (2018) (21)
- Application of Model Order Reduction to Compressor Aeroelastic Models (2000) (21)
- Architecture Study for the Aviation Environmental Portfolio Management Tool (2006) (20)
- Fusing information from multifidelity computer models of physical systems (2012) (20)
- Optimization under turbulence model uncertainty for aerospace design (2019) (20)
- Variance-Based Sensitivity Analysis to Support Simulation-Based Design Under Uncertainty (2016) (20)
- Design for additive manufacturing: cellular structures in early-stage aerospace design (2019) (20)
- Brochure on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence (2018) (20)
- A Domain Decomposition Approach for Uncertainty Analysis (2015) (20)
- Transform & Learn: A data-driven approach to nonlinear model reduction (2019) (20)
- Model Reduction for Large-Scale Linear Applications (2003) (19)
- A VALUE-BASED APPROACH FOR COMMERCIAL AIRCRAFT CONCEPTUAL DESIGN (2002) (19)
- Information Reuse for Importance Sampling in Reliability-Based Design Optimization (2020) (19)
- Convergence analysis of multifidelity Monte Carlo estimation (2018) (19)
- Applications of Proper Orthogonal Decomposition for Inviscid Transonic Aerodynamics (2003) (18)
- Physics-Based Low-Order Model for Transonic Flutter Prediction (2018) (18)
- An Optimization Framework for Goal-Oriented , Model-Based Reduction of Large-Scale Systems (2005) (18)
- Assessment of the Aviation Environmental Design Tool (2009) (17)
- Multifidelity probability estimation via fusion of estimators (2019) (17)
- Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models (2017) (17)
- Model reduction for active control design using multiple-point Arnoldi methods (2003) (17)
- Model Order Reduction: a survey (2016) (16)
- Multifidelity Uncertainty Propagation for Optimization Under Uncertainty (2012) (16)
- Network models for mapping educational data (2017) (16)
- Balanced Truncation Model Reduction for Lifted Nonlinear Systems (2019) (16)
- Model reduction methods (2017) (15)
- Multifidelity optimization under uncertainty for a tailless aircraft (2018) (15)
- Optimal $$L_2$$L2-norm empirical importance weights for the change of probability measure (2017) (14)
- Stochastic Process Decision Methods for Complex-Cyber-Physical Systems (2011) (13)
- Multifidelity Data Fusion: Application to Blended-Wing-Body Multidisciplinary Analysis Under Uncertainty (2020) (13)
- 16.06 Principles of Automatic Control, Fall 2003 (2003) (13)
- Model Reduction of an Actively Controlled Supersonic Diffuser (2005) (13)
- Extending Horsetail Matching for Optimization Under Probabilistic, Interval, and Mixed Uncertainties (2017) (13)
- Multifidelity Uncertainty Propagation in Coupled Multidisciplinary Systems (2016) (13)
- A Decomposition Approach to Uncertainty Analysis of Multidisciplinary Systems (2012) (12)
- Sensitivity Analysis Methods for Uncertainty Budgeting in System Design (2016) (12)
- Fourier Series for Accurate, Stable, Reduced-Order Models for Linear CFD Applications. (2003) (12)
- Reduced operator inference for nonlinear partial differential equations (2021) (11)
- A Comparison of Two Methods for Predicting Emissions From Aircraft Gas Turbine Combustors (2007) (11)
- Reusing Information for Multifidelity Active Learning in Reliability-Based Design Optimization (2019) (11)
- Nonlinear Goal-Oriented Bayesian Inference: Application to Carbon Capture and Storage (2014) (11)
- Multidelity Geometry and Analysis in Aircraft Conceptual Design (2009) (11)
- Sensitivity analysis methods for mitigating uncertainty in engineering system design (2015) (11)
- Multifidelity Analysis and Optimization for Supersonic Design (2010) (11)
- Mapping Outcomes in an Undergraduate Aerospace Engineering Program (2015) (10)
- Non-intrusive data-driven model reduction for differential–algebraic equations derived from lifting transformations (2021) (10)
- A Value-Based MDO Approach to Assess Business Risk for Commercial Aircraft Design (2004) (10)
- Operator inference for non-intrusive model reduction with nonlinear manifolds (2022) (10)
- Physically-Based, Real-Time Visualization and Constraint Analysis in Multidisciplinary Design Optimization (2003) (10)
- Bayesian operator inference for data-driven reduced-order modeling (2022) (10)
- Should You Derive, Or Let the Data Drive? An Optimization Framework for Hybrid First-Principles Data-Driven Modeling (2017) (10)
- Special Section on Multidisciplinary Design Optimization (2014) (10)
- APPLICATION OF REDUCED-ORDER AERODYNAMIC MODELING TO THE ANALYSIS OF STRUCTURAL UNCERTAINTY IN BLADED DISKS (2002) (10)
- Convergent Multifidelity Optimization using Bayesian Model Calibration (2010) (10)
- Operator inference for non-intrusive model reduction with quadratic manifolds (2022) (9)
- Multidelity Approaches for Parallel Multidisciplinary Optimization (2012) (9)
- A Multifaceted Mathematical Approach for Complex Systems (2012) (9)
- Development of a computational model for astronaut reorientation. (2010) (9)
- Certifiable Risk-Based Engineering Design Optimization (2021) (9)
- A Multifidelity Approach to Aircraft Conceptual Design Under Uncertainty (2014) (8)
- Analyzing Mistuning of Bladed Disks by Symmetry and Reduced-Order Aerodynamic Modeling (2003) (8)
- Uncertainty assessment of complex models with application to aviation environmental policy-making (2014) (8)
- A Methodology for Integrated Conceptual Design of Aircraft Configuration and Operation to Reduce Environmental Impact (2009) (7)
- Self-rotations in simulated microgravity: performance effects of strategy training. (2009) (7)
- A multifidelity method for locating aeroelastic flutter boundaries (2019) (7)
- Localized non-intrusive reduced-order modelling in the operator inference framework (2022) (7)
- Fourier Model Reduction for Large-Scale Applications in Computational Fluid Dynamics (2003) (6)
- Multifidelity Cross-Entropy Estimation of Conditional Value-at-Risk for Risk-Averse Design Optimization (2020) (6)
- mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location (2019) (6)
- Multifidelity Method for Locating Aeroelastic Flutter Boundaries (2019) (6)
- A Distributionally Robust Approach to Black-Box Optimization (2018) (6)
- A decomposition-based uncertainty quantification approach for environmental impacts of aviation technology and operation (2017) (6)
- Model order reduction for Bayesian approach to inverse problems (2014) (6)
- Model reduction for reacting flow applications (2014) (6)
- Data to decisions: Real-time structural assessment from sparse measurements affected by uncertainty (2016) (6)
- Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference (2021) (5)
- Decision-Making Under Uncertainty for a Digital Thread-Enabled Design Process (2021) (5)
- 16.888 / ESD.77 Multidisciplinary System Design Optimization, Spring 2004 (2004) (5)
- mfEGRA: Multifidelity Efficient Global Reliability Analysis (2019) (5)
- Sensor placement strategy to inform decisions (2017) (5)
- A multifidelity method for a nonlocal diffusion model (2021) (5)
- Sensitivity‐guided decision‐making for wind farm micro‐siting (2017) (5)
- Design optimization using multiple dominance relations (2020) (5)
- Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse (2021) (5)
- Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems (2007) (5)
- Distributionally robust optimization for engineering design under uncertainty (2019) (5)
- Aeroelastic Tailoring using Additively Manufactured Lattice Structures (2018) (5)
- Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data (2021) (5)
- Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models (2022) (5)
- On the Acceleration of a POD-based Model Reduction Technique (2004) (4)
- Model Reduction for Large-Scale Applications in Computational Fluid Dynamics (2008) (4)
- Model Order Reduction for Stochastic Optimal Control (2012) (4)
- Model Order Reduction for Reacting Flows: Laminar Gaussian Flame Applications (2017) (4)
- Sensitivity analysis of surrogate-based methodology for real time structural assessment (2015) (4)
- On filtering in non-intrusive data-driven reduced-order modeling (2022) (4)
- A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins (2020) (4)
- Approximate Low Dimensional Models Based on Proper Orthogonal Decomposition for Black-Box Applications (2007) (4)
- Towards a Low-Order Model for Transonic Flutter Prediction (2017) (3)
- Model Uncertainty: A Challenge in Nonlinear Coupled Multidisciplinary System Design (2018) (3)
- Design Methodology for Aeroelastic Tailoring of Additively Manufactured Lattice Structures Using Low-Order Methods (2019) (3)
- A Tactical Planning Model for a Serial Flow Manufacturing System (2011) (3)
- Prototype Work Plan for the Aviation Environmental Portfolio Management Tool (2006) (3)
- Distributional sensitivity analysis (2010) (3)
- Application of quantized control to human self-rotation maneuvers in microgravity (2007) (3)
- Model adaptivity for goal-oriented inference using adjoints (2018) (3)
- Optimal Approximations of Coupling in Multidisciplinary Models (2018) (3)
- Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling (2020) (3)
- Generalized information reuse for optimization under uncertainty with non‐sample average estimators (2018) (3)
- A Bayesian Framework for Uncertainty Quantication in the Design of Complex Systems (2012) (3)
- A black-box method for parametric model order reduction (2015) (3)
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks (2021) (3)
- Network models and sensor layers to design adaptive learning using educational mapping (2021) (2)
- Crosslinks: Improving course connectivity using online open educational resources (2016) (2)
- A Dynamic Data Driven Approach to Online Flight Envelope Updating for Self Aware Aerospace Vehicles (2014) (2)
- Localized non-intrusive reduced-order modeling in the operator (2021) (2)
- Inverse Airfoil Design Using Proper Orthogonal Decomposition on Computed Flowfield Snapshots (2003) (2)
- Nonlinear Model Order Reduction Via Dynamic Mode Decomposition (2021) (2)
- Design and Optimization of Complex Systems (2002) (2)
- Surrogate-Based Optimization of a Microfluidic Weir Structure for Single-Cell Manipulation (2008) (2)
- Preface: Model Reduction and Approximation: Theory and Algorithms (2017) (2)
- Interactive Applets in Calculus and Engineering Courses (2013) (1)
- Influence of the time step on the stability of the coupling iterations in a partitioned fluid-structure interaction simulation (2008) (1)
- Dynamic-Data-Driven Damage Prediction in Aerospace Composite Structures (2016) (1)
- Optimization for Engineering Problems (2019) (1)
- Controllable and Observable Subspaces in Computational Fluid Dynamics (2003) (1)
- Scientific Machine Learning (2020) (1)
- Data-driven Model Reduction via Operator Inference for Coupled Aeroelastic Flutter (2023) (1)
- A level set-based topology optimization approach for thermally radiating structures (2022) (1)
- Modeling COVID-19 Disruptions via Network Mapping of the Common Core Mathematics Standards (2021) (1)
- Minimum local distance density estimation (2014) (1)
- Structural Integrity Assessment via Structural Response Predictions using a Certified Reduced Basis Model (2013) (1)
- Parametric non-intrusive reduced-order models via operator inference for large-scale rotating detonation engine simulations (2023) (0)
- DAC 1 Keynote (2021) (0)
- Collaborative Research Model Reduction for Nonlinear and Parametric Systems with Uncertainty (2015) (0)
- Joint Model and Parameter Dimension Reduction for Bayesian Inversion Applied to an Ice Sheet Flow Problem (2016) (0)
- Multifidelity Robust Topology Optimization for Material Uncertainties with Digital Manufacturing (2023) (0)
- Large-Scale Optimization for Bayesian Inference in Complex Systems (2013) (0)
- 19-16 September 2019 mfEGRA : Multi fidelity Efficient Global Reliability Analysis (0)
- Evaluation of Cost Balancing Policies in Multi-Echelon Stochastic Inventory Control Problems (2010) (0)
- A 2124 BENJAMIN PEHERSTORFER AND KAREN WILLCOX (2015) (0)
- Dynamic Data Driven Methods for Self-aware Aerospace Vehicles Citation (2013) (0)
- Environmentally-Sensitive Aircraft Design: Challenges in Multidisciplinary System Analysis and Optimization (Oral Presentation Only) (2008) (0)
- Model Order Reduction for Determining Bubble Parameters to Attain a Desired Fluid Surface Shape (2005) (0)
- Enabling Optimal Production Strategies under Uncertainties via Non-Intrusive Model Reduction Methods (2012) (0)
- Design of Digital Twin Sensing Strategies via Predictive Modeling and Interpretable Machine Learning (2022) (0)
- DiaMonD: An Integrated Multifaceted Approach to Mathematics at the Interfaces of Data, Models, and Decisions (2019) (0)
- KrylovProjectionFramework forFourierModelReduction ? (2006) (0)
- Process window estimation in manufacturing through Entropy-Sigma active learning (2022) (0)
- Optimal L[subscript 2]-norm empirical importance weights for the change of probability measure (2016) (0)
- Huang Crosslinks Improving Course Connectivity Using Online (2016) (0)
- Learning Optimal Aerodynamic Designs through Multi-Fidelity Reduced-Dimensional Neural Networks (2023) (0)
- Polynomial Policies in Supply Chain Networks (2011) (0)
- Correction: Multifidelity Optimization Under Uncertainty for a Tailless Aircraft (2018) (0)
- Interpolatory Methods for Model Reduction [Bookshelf] (2022) (0)
- Predictive Digital Twins as a Foundation for Improved Mission Readiness (2021) (0)
- Unbiased multi-fidelity estimate of failure probability of a free plane jet (2017) (0)
- COMPUTATIONAL FLUID DYNAMICS FOR ARCHI- TECTURAL DESIGN (2013) (0)
- Aerodynamic sensing for hypersonics via scientific machine learning (2022) (0)
- A non-intrusive adaptive strategy to support real-time structural assessment (2014) (0)
- Convergence analysis of multifidelity Monte Carlo estimation (2018) (0)
- A Decentralized Incentive Mechanism for Company-Wide Energy Consumption Reduction (2011) (0)
- Institute of Mathematical Research (2012) (0)
- AIAA-2002-5612 MULTIDISCIPLINARY TECHNIQUES FOR COMMERCIAL AIRCRAFT SYSTEM DESIGN (2002) (0)
- Dynamic data-driven model reduction: adapting reduced models from incomplete data (2016) (0)
- Optimization using Bayesian Model Calibration (2010) (0)
- Projection-based multifidelity linear regression for data-poor applications (2023) (0)
- Supply Chain Network for Hydrogen Transportation in Spain (0)
- Research and Education in Computational Science and Engineering | SIAM Review | Vol. 60, No. 3 | Society for Industrial and Applied Mathematics (2018) (0)
- Constrained multifidelity optimization using model calibration (2012) (0)
- A VARIABLE REAR WING CONTROL SYSTEM FOR ROAD VEHICLES (2001) (0)
- Design for additive manufacturing: cellular structures in early-stage aerospace design (2019) (0)
- OPTIMAL MODEL MANAGEMENT FOR MULTIFIDELITY MONTE (2016) (0)
- Collaborative Research: Model Reduction for Probabilistic Analysis and Design Under Uncertainty (2012) (0)
- Multifidelity probability estimation via fusion of estimators ACDL TR-2017-3 (2017) (0)
- Computational Prototyping Tools and Techniques (2003) (0)
- COMPUTATIONAL FLUID DYNAMICS FOR ARCHI- (2013) (0)
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