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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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Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques

Waste management & research, 2019-06, Vol.37 (6), p.578-589

2019

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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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Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics

Journal of scheduling, 2021-06, Vol.24 (3), p.269-290

2021

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Applying unweighted least-squares based techniques to stochastic dynamic programming: theory and application

IET control theory & applications, 2019-10, Vol.13 (15), p.2387-2398

2019

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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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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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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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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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Optimal information disclosure: A linear programming approach

Theoretical economics, 2018-05, Vol.13 (2), p.607-635

Kolotilin, Anton

2018

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Power transformer optimal design using an innovative heuristic algorithm combined with mixed-integer non-linear programming and FEM technique

IET generation, transmission & distribution, 2017-09, Vol.11 (13), p.3359-3370

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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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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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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Nonlinear Programming Technique for Analyzing Flocculent Settling Data

Water environment research, 2014-04, Vol.86 (4), p.346-359

2014

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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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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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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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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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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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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

Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques

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

Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics

Applying unweighted least-squares based techniques to stochastic dynamic programming: theory and application

Structural Optimization of Autonomous Energy Networks by Mathematical Programming Techniques

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

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

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

Optimal information disclosure: A linear programming approach

Power transformer optimal design using an innovative heuristic algorithm combined with mixed-integer non-linear programming and FEM technique

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

Register Efficient Dynamic Memory Allocator for GPUs

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

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

Nonlinear Programming Technique for Analyzing Flocculent Settling Data

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

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

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

Statistical clustering of temporal networks through a dynamic stochastic block model

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

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