1.
Full Text
A Monge–Ampère problem with non-quadratic cost function to compute freeform lens surfaces

Journal of scientific computing, ISSN 0885-7474, 07/2019, Volume 80, Issue 1, pp. 475 - 499

In this article, we present a least-squares method to compute freeform surfaces of a lens with parallel incoming and outgoing light rays, which is a transport problem corresponding to a non-quadratic cost function...

Computational Mathematics | Monge–Ampère equation | Transport boundary conditions | Inverse problem | Computational Theory and Mathematics | Least-squares method | Optical design | Theoretical Computer Science | Numerical Analysis | Software | Freeform lens surfaces | Applied Mathematics | Non-quadratic cost function | Engineering(all) | 35J20 | Computational Mathematics and Numerical Analysis | 35J96 | 35A15 | 78A05 | 65N08 | Theoretical, Mathematical and Computational Physics | Mathematics | 35J15 | Algorithms | Mathematical and Computational Engineering | 65N21 | 4900 | Computer science | Energy conservation | Differential equations

Computational Mathematics | Monge–Ampère equation | Transport boundary conditions | Inverse problem | Computational Theory and Mathematics | Least-squares method | Optical design | Theoretical Computer Science | Numerical Analysis | Software | Freeform lens surfaces | Applied Mathematics | Non-quadratic cost function | Engineering(all) | 35J20 | Computational Mathematics and Numerical Analysis | 35J96 | 35A15 | 78A05 | 65N08 | Theoretical, Mathematical and Computational Physics | Mathematics | 35J15 | Algorithms | Mathematical and Computational Engineering | 65N21 | 4900 | Computer science | Energy conservation | Differential equations

Journal Article

MONTHLY WEATHER REVIEW, ISSN 0027-0644, 06/2017, Volume 145, Issue 6, pp. 2071 - 2082

.... Because of the use of the nonsquare matrix U, the transformed cost function still contains the inverse of B...

OPERATIONAL IMPLEMENTATION | SYSTEM | ERROR COVARIANCES | PART I | 4D-VAR | NWP | MODEL | DATA ASSIMILATION SCHEME | KALMAN FILTER | FORMULATION | METEOROLOGY & ATMOSPHERIC SCIENCES | Assimilation | Methodology | Pricing policies | Inversion | Complement | Data | Earth science | Optimization | Control | Covariance | Quadratic forms | Theories | Data collection | Cost function | Mathematical models | Cost engineering | Data assimilation

OPERATIONAL IMPLEMENTATION | SYSTEM | ERROR COVARIANCES | PART I | 4D-VAR | NWP | MODEL | DATA ASSIMILATION SCHEME | KALMAN FILTER | FORMULATION | METEOROLOGY & ATMOSPHERIC SCIENCES | Assimilation | Methodology | Pricing policies | Inversion | Complement | Data | Earth science | Optimization | Control | Covariance | Quadratic forms | Theories | Data collection | Cost function | Mathematical models | Cost engineering | Data assimilation

Journal Article

Automatica, ISSN 0005-1098, 05/2016, Volume 67, pp. 216 - 223

.... Less is known about the statistical properties of the resulting cost function. The contribution of this paper is a set of analytic expressions for the mean and variance of the LQG cost function...

Linear systems | Probability density function | Linear quadratic regulators | Matrix algebra | LQG control | Lyapunov equation | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Thresholds | Mathematical analysis | Exact solutions | Cost function | Gaussian | Cost engineering | Variance | Linear quadratic | Computer Science - Systems and Control

Linear systems | Probability density function | Linear quadratic regulators | Matrix algebra | LQG control | Lyapunov equation | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Thresholds | Mathematical analysis | Exact solutions | Cost function | Gaussian | Cost engineering | Variance | Linear quadratic | Computer Science - Systems and Control

Journal Article

IEEE Transactions on Power Systems, ISSN 0885-8950, 05/2002, Volume 17, Issue 2, pp. 411 - 416

Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control...

System testing | Power system dynamics | Genetic programming | Power generation economics | Power system economics | Fuel economy | Economic forecasting | Power generation dispatch | Quadratic programming | Power system security | Sequential quadratic programming (SQP) | Dynamic economic dispatch (DED) | Evolutionary programming (EP) | Global solution | Power generation operation and control | Stochastic optimization techniques | Economics | Searching | Dynamics | Cost function | Fuels | Dynamical systems | Tuning | Optimization

System testing | Power system dynamics | Genetic programming | Power generation economics | Power system economics | Fuel economy | Economic forecasting | Power generation dispatch | Quadratic programming | Power system security | Sequential quadratic programming (SQP) | Dynamic economic dispatch (DED) | Evolutionary programming (EP) | Global solution | Power generation operation and control | Stochastic optimization techniques | Economics | Searching | Dynamics | Cost function | Fuels | Dynamical systems | Tuning | Optimization

Journal Article

IEEE Power Engineering Review, ISSN 0272-1724, 04/2002, Volume 22, Issue 4, pp. 77 - 77

Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control...

evolutionary programming | power generation operation and control | Power system dynamics | Power generation economics | Power system economics | Power generation dispatch | Quadratic programming | Power system security | Genetic programming | stochastic optimization techniques | Fuel economy | Cost function | Economic forecasting | sequential quadratic programming | Dynamic economic dispatch | global solution | evolutionary programming (EP) | SECURITY | CONSTRAINTS | SYSTEMS | sequential quadratic programming (SQP) | dynamic economic dispatch (DED) | GENETIC ALGORITHM | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Supply and demand | Electric power | Stochastic processes | Electric utilities | Research | Electric power production | Management | Planning | Economics | Dynamics | Searching | Fuels | Dynamical systems | Optimization | Tuning

evolutionary programming | power generation operation and control | Power system dynamics | Power generation economics | Power system economics | Power generation dispatch | Quadratic programming | Power system security | Genetic programming | stochastic optimization techniques | Fuel economy | Cost function | Economic forecasting | sequential quadratic programming | Dynamic economic dispatch | global solution | evolutionary programming (EP) | SECURITY | CONSTRAINTS | SYSTEMS | sequential quadratic programming (SQP) | dynamic economic dispatch (DED) | GENETIC ALGORITHM | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Supply and demand | Electric power | Stochastic processes | Electric utilities | Research | Electric power production | Management | Planning | Economics | Dynamics | Searching | Fuels | Dynamical systems | Optimization | Tuning

Journal Article

6.
Full Text
Background removal from spectra by designing and minimising a non-quadratic cost function

Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, 2005, Volume 76, Issue 2, pp. 121 - 133

.... a quadratic cost function), non-quadratic cost functions well adapted to the problem are proposed...

Polynomial fitting | Half-quadratic minimisation | Truncated quadratic | Infrared and Raman spectra | Background removal | Huber function | CHEMISTRY, ANALYTICAL | background removal | CLASSIFICATION | STATISTICS & PROBABILITY | polynomial fitting | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | INSTRUMENTS & INSTRUMENTATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | infrared and Raman spectra | WAVELET TRANSFORM | truncated quadratic | half-quadratic minimisation | AUTOMATION & CONTROL SYSTEMS | huber function | Raman spectroscopy

Polynomial fitting | Half-quadratic minimisation | Truncated quadratic | Infrared and Raman spectra | Background removal | Huber function | CHEMISTRY, ANALYTICAL | background removal | CLASSIFICATION | STATISTICS & PROBABILITY | polynomial fitting | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | INSTRUMENTS & INSTRUMENTATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | infrared and Raman spectra | WAVELET TRANSFORM | truncated quadratic | half-quadratic minimisation | AUTOMATION & CONTROL SYSTEMS | huber function | Raman spectroscopy

Journal Article

Computers and Chemical Engineering, ISSN 0098-1354, 02/2016, Volume 85, pp. 36 - 39

... for multi-objective optimization problems featuring convex quadratic cost functions and linear...

Explicit Pareto front calculation | Multi-parametric programming | Multi-objective optimization | ENGINEERING, CHEMICAL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ALGORITHM | SYSTEMS | Algorithms | Approximation | Chemical engineering | Mathematical analysis | Programming | Pareto optimality | Cost function | Optimization

Explicit Pareto front calculation | Multi-parametric programming | Multi-objective optimization | ENGINEERING, CHEMICAL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ALGORITHM | SYSTEMS | Algorithms | Approximation | Chemical engineering | Mathematical analysis | Programming | Pareto optimality | Cost function | Optimization

Journal Article

8.
Full Text
Infinite horizon linear quadratic tracking problem: A discounted cost function approach

Optimal Control Applications and Methods, ISSN 0143-2087, 07/2018, Volume 39, Issue 4, pp. 1549 - 1572

Summary The discounted cost function approach is one of the main approaches to the infinite time horizon problems in economics and market...

load frequency control | linear quadratic disturbance tracking problem | discounted cost function approach | infinite horizon linear quadratic tracking problem | sinusoidal disturbance rejection | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | INTERNAL-MODEL PRINCIPLE | AUTOMATION & CONTROL SYSTEMS | MIMO (control systems) | Tracking | Converters | Tracking problem | Cost function | Queuing theory | Frequency control | Linear quadratic | SISO (control systems)

load frequency control | linear quadratic disturbance tracking problem | discounted cost function approach | infinite horizon linear quadratic tracking problem | sinusoidal disturbance rejection | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | INTERNAL-MODEL PRINCIPLE | AUTOMATION & CONTROL SYSTEMS | MIMO (control systems) | Tracking | Converters | Tracking problem | Cost function | Queuing theory | Frequency control | Linear quadratic | SISO (control systems)

Journal Article

Water Resources Management, ISSN 0920-4741, 8/2018, Volume 32, Issue 10, pp. 3505 - 3518

.... Since linear cost functions...

Environment, general | Quadratic convex minimum cost network flow problem | Earth Sciences | Hydrology/Water Resources | Hydrogeology | Reservoir operations | Optimization models | Civil Engineering | Geotechnical Engineering & Applied Earth Sciences | Atmospheric Sciences | Water resources planning and management | ENGINEERING, CIVIL | OPERATION | SYSTEMS | WATER RESOURCES | Water | Algorithms | Analysis | Control equipment | Reservoirs | Models | Aquatic resources | Management | Mathematical optimization | Vigilance | Reservoir releases | Decision making | Resource allocation | Watersheds | Flow rates | Vulnerability | Rivers | Flooding | River basins | Optimization | Reservoir management | Water allocation | Cost function | Mathematical models | Water resources | Modeling and Simulation | Hydrology | Sciences of the Universe | Computer Science

Environment, general | Quadratic convex minimum cost network flow problem | Earth Sciences | Hydrology/Water Resources | Hydrogeology | Reservoir operations | Optimization models | Civil Engineering | Geotechnical Engineering & Applied Earth Sciences | Atmospheric Sciences | Water resources planning and management | ENGINEERING, CIVIL | OPERATION | SYSTEMS | WATER RESOURCES | Water | Algorithms | Analysis | Control equipment | Reservoirs | Models | Aquatic resources | Management | Mathematical optimization | Vigilance | Reservoir releases | Decision making | Resource allocation | Watersheds | Flow rates | Vulnerability | Rivers | Flooding | River basins | Optimization | Reservoir management | Water allocation | Cost function | Mathematical models | Water resources | Modeling and Simulation | Hydrology | Sciences of the Universe | Computer Science

Journal Article

AIChE Journal, ISSN 0001-1541, 02/2014, Volume 60, Issue 2, pp. 507 - 519

...) by replacing the quadratic cost function with a general economic cost function. Almost all the recent work on EMPC involves cost functions that are time invariant...

process control | optimization | Process control | Optimization | ENGINEERING, CHEMICAL | FILTER | PERFORMANCE | STABILITY | STRATEGY | Economics | Nonlinear dynamics | Economic analysis | Stability | Cost function | Mathematical models | Invariants | Predictive control

process control | optimization | Process control | Optimization | ENGINEERING, CHEMICAL | FILTER | PERFORMANCE | STABILITY | STRATEGY | Economics | Nonlinear dynamics | Economic analysis | Stability | Cost function | Mathematical models | Invariants | Predictive control

Journal Article

Applied Energy, ISSN 0306-2619, 04/2015, Volume 144, pp. 241 - 249

•The shadow price of CO2 informs about the marginal abatement cost of this pollutant...

Directional distance function | Shadow price | Wastewater treatment | Greenhouse gas | CO2 | Quadratic function | ABATEMENT COSTS | INDUSTRY | ENERGY & FUELS | UNDESIRABLE OUTPUTS | CARBON-DIOXIDE EMISSIONS | ENGINEERING, CHEMICAL | POLLUTION | TREATMENT PLANTS | SOCIAL COST | PRODUCTIVITY | POWER-GENERATION | EFFICIENCY

Directional distance function | Shadow price | Wastewater treatment | Greenhouse gas | CO2 | Quadratic function | ABATEMENT COSTS | INDUSTRY | ENERGY & FUELS | UNDESIRABLE OUTPUTS | CARBON-DIOXIDE EMISSIONS | ENGINEERING, CHEMICAL | POLLUTION | TREATMENT PLANTS | SOCIAL COST | PRODUCTIVITY | POWER-GENERATION | EFFICIENCY

Journal Article

International Journal of Robust and Nonlinear Control, ISSN 1049-8923, 12/2017, Volume 27, Issue 18, pp. 4443 - 4456

...‐loop system is asymptotically stable in probability and an upper bound is guaranteed on a prespecified quadratic cost function...

Hamilton–Jacobi inequality | guaranteed cost control | input saturation | nonlinear Itô stochastic systems | mixed time‐delays | mixed time-delays | MATHEMATICS, APPLIED | ROBUST STABILITY | STABILIZATION | nonlinear Ito stochastic systems | SLIDING MODE CONTROL | NETWORKS | STATE ESTIMATION | ENGINEERING, ELECTRICAL & ELECTRONIC | H-INFINITY CONTROL | H-2/H-INFINITY CONTROL | DISCRETE | Hamilton-Jacobi inequality | QUANTIZATION | FEEDBACK | AUTOMATION & CONTROL SYSTEMS | Cost control | Controllers | State feedback | Stochastic systems | Control systems design | Saturation | Control systems | Feedback control | Nonlinear systems | Nonlinear control

Hamilton–Jacobi inequality | guaranteed cost control | input saturation | nonlinear Itô stochastic systems | mixed time‐delays | mixed time-delays | MATHEMATICS, APPLIED | ROBUST STABILITY | STABILIZATION | nonlinear Ito stochastic systems | SLIDING MODE CONTROL | NETWORKS | STATE ESTIMATION | ENGINEERING, ELECTRICAL & ELECTRONIC | H-INFINITY CONTROL | H-2/H-INFINITY CONTROL | DISCRETE | Hamilton-Jacobi inequality | QUANTIZATION | FEEDBACK | AUTOMATION & CONTROL SYSTEMS | Cost control | Controllers | State feedback | Stochastic systems | Control systems design | Saturation | Control systems | Feedback control | Nonlinear systems | Nonlinear control

Journal Article

13.
Full Text
Do cost functions for tracking error generalize across tasks with different noise levels?

PLoS ONE, ISSN 1932-6203, 08/2015, Volume 10, Issue 8, p. e0136251

.... This control law is optimized according to a cost function, which for the sake of mathematical tractability is typically represented as a series of quadratic terms...

SYSTEM | OPTIMAL FEEDBACK-CONTROL | MULTIDISCIPLINARY SCIENCES | EMG | Models, Theoretical | User-Computer Interface | Humans | Research | Human-machine systems | Utility theory | Mathematical research | Error analysis (Mathematics) | Prostheses | Quadratic equations | Economic models | Noise levels | Parameter estimation | Parameters | Tracking | Noise | Myoelectricity | Pricing policies | Computer engineering | Noise control | Interfaces | Studies | Myoelectric control | Errors | Decision theory | Computer applications | Cost function | Mathematical models | Human behavior | Man-machine interfaces | Biomedical engineering

SYSTEM | OPTIMAL FEEDBACK-CONTROL | MULTIDISCIPLINARY SCIENCES | EMG | Models, Theoretical | User-Computer Interface | Humans | Research | Human-machine systems | Utility theory | Mathematical research | Error analysis (Mathematics) | Prostheses | Quadratic equations | Economic models | Noise levels | Parameter estimation | Parameters | Tracking | Noise | Myoelectricity | Pricing policies | Computer engineering | Noise control | Interfaces | Studies | Myoelectric control | Errors | Decision theory | Computer applications | Cost function | Mathematical models | Human behavior | Man-machine interfaces | Biomedical engineering

Journal Article

International Journal of Production Economics, ISSN 0925-5273, 2011, Volume 132, Issue 2, pp. 251 - 257

We propose an index of productivity based on a quadratic cost function and developed for discrete data including technical and allocative inefficiency, jointly with technical change and returns...

Productivity | Inefficiency | Discrete data | Quadratic cost function | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SECTOR | ALLOCATIVE INEFFICIENCY | INDEX | ENGINEERING, MANUFACTURING | ENGINEERING, INDUSTRIAL | PARAMETRIC-ESTIMATION | Productivity Quadratic cost function Inefficiency Discrete data | Economics | Cost function | Determinants | Quadratic forms

Productivity | Inefficiency | Discrete data | Quadratic cost function | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SECTOR | ALLOCATIVE INEFFICIENCY | INDEX | ENGINEERING, MANUFACTURING | ENGINEERING, INDUSTRIAL | PARAMETRIC-ESTIMATION | Productivity Quadratic cost function Inefficiency Discrete data | Economics | Cost function | Determinants | Quadratic forms

Journal Article

15.
Full Text
Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions

Journal of Econometrics, ISSN 0304-4076, 2008, Volume 142, Issue 1, pp. 281 - 311

.... manufacturing industry. We present an empirical comparison and evaluation of the effectiveness of four well-known flexible cost functions...

Generalized Leontief (GL) | Normalized quadratic (NQ) | Technical change | Flexible functional forms | Asymptotically ideal model (AIM) | Translog | UNITED-STATES | TIME-SERIES REGRESSION | translog | DEMAND-FUNCTIONS | generalized Leontief (GL) | asymptotically ideal model (AIM) | flexible functional forms | technical change | TECHNICAL PROGRESS | FORMS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SYSTEMS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | QUADRATIC SPLINE MODELS | CURVATURE CONDITIONS | TECHNOLOGY | normalized quadratic (NQ) | ECONOMIC-THEORY | Production management | Analysis | Econometric models

Generalized Leontief (GL) | Normalized quadratic (NQ) | Technical change | Flexible functional forms | Asymptotically ideal model (AIM) | Translog | UNITED-STATES | TIME-SERIES REGRESSION | translog | DEMAND-FUNCTIONS | generalized Leontief (GL) | asymptotically ideal model (AIM) | flexible functional forms | technical change | TECHNICAL PROGRESS | FORMS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SYSTEMS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | QUADRATIC SPLINE MODELS | CURVATURE CONDITIONS | TECHNOLOGY | normalized quadratic (NQ) | ECONOMIC-THEORY | Production management | Analysis | Econometric models

Journal Article

IEEE Transactions on Information Theory, ISSN 0018-9448, 07/2017, Volume 63, Issue 7, pp. 4202 - 4217

... ) could be, and conjectured that the maximum is attained by a dictator function. An equivalent formulation of this conjecture is that dictator minimizes the prediction cost in a sequential prediction of Y n under logarithmic loss, given b(X n...

Boolean functions | Upper bound | Quantization (signal) | pinsker’s inequality | logarithmic loss function | quadratic loss function | Entropy | sequential prediction | Indexes | Mutual information | Noise level | Quadratic loss function | Sequential prediction | Logarithmic loss function | Pinsker's inequality | MUTUAL INFORMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Entropy (Information theory) | Logarithmic functions | Equations, Quadratic | Binomial distribution | Research | Quadratic programming | Algebra, Boolean | Noise levels | Codes | Noise | Asymptotic properties | Boolean algebra | Cost engineering

Boolean functions | Upper bound | Quantization (signal) | pinsker’s inequality | logarithmic loss function | quadratic loss function | Entropy | sequential prediction | Indexes | Mutual information | Noise level | Quadratic loss function | Sequential prediction | Logarithmic loss function | Pinsker's inequality | MUTUAL INFORMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Entropy (Information theory) | Logarithmic functions | Equations, Quadratic | Binomial distribution | Research | Quadratic programming | Algebra, Boolean | Noise levels | Codes | Noise | Asymptotic properties | Boolean algebra | Cost engineering

Journal Article

IEEE Transactions on Power Systems, ISSN 0885-8950, 09/2016, Volume 31, Issue 5, pp. 3674 - 3683

This paper presents a new polyhedral approximation for the quadratic cost curve of thermal units for the unit commitment problem...

Linear approximation | Cost function | Software | Power systems | Mixed integer linear programming | quadratic cost function | thermal unit commitment | Function approximation | Indexes | polyhedral approach | FORMULATIONS | 2ND-ORDER CONE | ENGINEERING, ELECTRICAL & ELECTRONIC | Linear programming | Usage | Electric power production | Analysis | Cost control | Economic models | Formulations | Approximation | Mathematical analysis | Unit commitment

Linear approximation | Cost function | Software | Power systems | Mixed integer linear programming | quadratic cost function | thermal unit commitment | Function approximation | Indexes | polyhedral approach | FORMULATIONS | 2ND-ORDER CONE | ENGINEERING, ELECTRICAL & ELECTRONIC | Linear programming | Usage | Electric power production | Analysis | Cost control | Economic models | Formulations | Approximation | Mathematical analysis | Unit commitment

Journal Article

18.
Full Text
Determining optimal sizes of bounded batches with rejection via quadratic min‐cost flow

Naval Research Logistics (NRL), ISSN 0894-069X, 04/2017, Volume 64, Issue 3, pp. 217 - 224

.... The objective function is the sum of several components, including the sum of the completion times, total delivery cost, and total rejection cost...

single machine scheduling | quadratic min‐cost flow | batching | rejection | quadratic min-cost flow | SINGLE-MACHINE | SCHEDULING PROBLEMS | SHOP | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPLETION-TIME | SERIES-PARALLEL NETWORKS | POLYNOMIAL ALGORITHM | SETUP TIMES | OPTIMIZATION | Components | Rejection | Quadratic equations | Navy | Delivery scheduling | Production scheduling | Mathematical models | Objective function | Cost engineering | Logistics

single machine scheduling | quadratic min‐cost flow | batching | rejection | quadratic min-cost flow | SINGLE-MACHINE | SCHEDULING PROBLEMS | SHOP | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPLETION-TIME | SERIES-PARALLEL NETWORKS | POLYNOMIAL ALGORITHM | SETUP TIMES | OPTIMIZATION | Components | Rejection | Quadratic equations | Navy | Delivery scheduling | Production scheduling | Mathematical models | Objective function | Cost engineering | Logistics

Journal Article