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Determining the effect of neuro‐linguistic programming techniques on the conflict management and interpersonal problem‐solving skills of nurse managers: A mixed methods study

Journal of nursing management, 2022-01, Vol.30 (1), p.104-134

2022

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Optimal PID controller tuning using stochastic programming techniques

AIChE journal, 2018-08, Vol.64 (8), p.2997-3010

2018

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Using computer software packages to enhance the teaching in Engineering Management Science-part 2: Programming techniques

Computer applications in engineering education, 2012-03, Vol.20 (1), p.114-123

2012

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Body‐fitted topology optimization via integer linear programming using surface capturing techniques

International journal for numerical methods in engineering, 2024-07, Vol.125 (13), p.n/a

2024

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Structural Optimization of Autonomous Energy Networks by Mathematical Programming Techniques

Electrical engineering in Japan, 2018-06, Vol.203 (4), p.45-52

2018

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The impact of using program visualization techniques on learning basic programming concepts at the K–12 level

Computer applications in engineering education, 2021-01, Vol.29 (1), p.145-159

2021

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Zippy: A Framework for Computation and Visualization on a GPU Cluster

Computer graphics forum, 2008-04, Vol.27 (2), p.341-350

2008

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Ternary Sparse Matrix Representation for Volumetric Mesh Subdivision and Processing on GPUs

Computer graphics forum, 2017-08, Vol.36 (5), p.59-69

2017

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Robust error-in-variables estimation using nonlinear programming techniques

AIChE journal, 1990-07, Vol.36 (7), p.985-993

1990

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Algorithm tuners for PSO methods and genetic programming techniques for learning tuning rules: EVOLVING PSO TUNING RULE USING GENETIC PROGRAMMING

IEEJ transactions on electrical and electronic engineering, 2014-07, Vol.9 (4), p.407-414

2014

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Linear and conic programming estimators in high dimensional errors-in-variables models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-06, Vol.79 (3), p.939-956

2017

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Register Efficient Dynamic Memory Allocator for GPUs

Computer graphics forum, 2015-12, Vol.34 (8), p.143-154

2015

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Exact response bound analysis of truss structures via linear mixed 0‐1 programming and sensitivity bounding technique

International journal for numerical methods in engineering, 2018-10, Vol.116 (1), p.21-42

2018

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Calibration of agricultural risk programming models using positive mathematical programming: a reply

The Australian journal of agricultural and resource economics, 2022-07, Vol.66 (3), p.729-730

Liu, Xuan

2022

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Accountable Artificial Intelligence: Holding Algorithms to Account

Public administration review, 2021-09, Vol.81 (5), p.825-836

Busuioc, Madalina

2021

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Gaussian differential privacy

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-02, Vol.84 (1), p.3-37

2022

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AUTOMATIC ALGORITHM DEVELOPMENT USING NEW REINFORCEMENT PROGRAMMING TECHNIQUES

Computational intelligence, 2012-05, Vol.28 (2), p.176-208

2012

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Universal prediction band via semi‐definite programming

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-09, Vol.84 (4), p.1558-1580

Liang, Tengyuan

2022

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Disaster Management from a POM Perspective: Mapping a New Domain

Production and operations management, 2016-10, Vol.25 (10), p.1611-1637

2016

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Robot Scheduling for Mobile‐Rack Warehouses: Human–Robot Coordinated Order Picking Systems

Production and operations management, 2022-01, Vol.31 (1), p.98-116

2022

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Statistical clustering of temporal networks through a dynamic stochastic block model

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-09, Vol.79 (4), p.1119-1141

2017

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Sparse graphs using exchangeable random measures

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-11, Vol.79 (5), p.1295-1366

2017

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Equitable anesthesiologist scheduling under demand uncertainty using multiobjective programming

Production and operations management, 2023-11, Vol.32 (11), p.3699-3716

2023

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Optimal, two‐stage, adaptive enrichment designs for randomized trials, using sparse linear programming

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020-07, Vol.82 (3), p.749-772

2020

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Models and muddles: comment on ‘Calibration of agricultural risk programming models using positive mathematical programming’

The Australian journal of agricultural and resource economics, 2022-07, Vol.66 (3), p.713-728

2022

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Determining the effect of neuro‐linguistic programming techniques on the conflict management and interpersonal problem‐solving skills of nurse managers: A mixed methods study

Optimal PID controller tuning using stochastic programming techniques

Using computer software packages to enhance the teaching in Engineering Management Science-part 2: Programming techniques

Body‐fitted topology optimization via integer linear programming using surface capturing techniques

Structural Optimization of Autonomous Energy Networks by Mathematical Programming Techniques

The impact of using program visualization techniques on learning basic programming concepts at the K–12 level

Zippy: A Framework for Computation and Visualization on a GPU Cluster

Ternary Sparse Matrix Representation for Volumetric Mesh Subdivision and Processing on GPUs

Robust error-in-variables estimation using nonlinear programming techniques

Algorithm tuners for PSO methods and genetic programming techniques for learning tuning rules: EVOLVING PSO TUNING RULE USING GENETIC PROGRAMMING

Linear and conic programming estimators in high dimensional errors-in-variables models

Register Efficient Dynamic Memory Allocator for GPUs

Exact response bound analysis of truss structures via linear mixed 0‐1 programming and sensitivity bounding technique

Calibration of agricultural risk programming models using positive mathematical programming: a reply

Accountable Artificial Intelligence: Holding Algorithms to Account

Gaussian differential privacy

AUTOMATIC ALGORITHM DEVELOPMENT USING NEW REINFORCEMENT PROGRAMMING TECHNIQUES

Universal prediction band via semi‐definite programming

Disaster Management from a POM Perspective: Mapping a New Domain

Robot Scheduling for Mobile‐Rack Warehouses: Human–Robot Coordinated Order Picking Systems

Statistical clustering of temporal networks through a dynamic stochastic block model

Sparse graphs using exchangeable random measures

Equitable anesthesiologist scheduling under demand uncertainty using multiobjective programming

Optimal, two‐stage, adaptive enrichment designs for randomized trials, using sparse linear programming

Models and muddles: comment on ‘Calibration of agricultural risk programming models using positive mathematical programming’

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