Results 211 to 220 of about 24,734 (245)

Improved predictive formulae for wave overtopping at sloped breakwaters using interpretable machine learning models. [PDF]

PLoS One
Habib MA, Abolfathi S, O'Sullivan JJ, Salauddin M.   +3 more
europepmc   +1 more source

An L0-Norm-Based Method for Passive Shimming Design in MRI: A Simulation-Based Study. [PDF]

NMR Biomed
Wang W, Wang Y, Wei R, Weber E, Liu F.
europepmc   +1 more source

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Integrating Agri‐Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming

American Journal of Agricultural Economics, 2003
AbstractPositive Mathematical Programming (PMP) has become a popular method for regional production models. The standard approach estimates cost (or production) functions for each land‐use activity separately from each other. This means that the same crop grown under two technologies is treated as if it were two separate crops, which may lead to ...
Ottmar Röhm, Stephan Dabbert
exaly   +3 more sources

A bottom-up model of industrial energy system with positive mathematical programming

Energy, 2019
Abstract The bottom-up model of the industrial energy system has hitherto been analyzed using linear programming. However, it has limitations in describing practical technology selection and reproducing base-year technology selection. Positive mathematical programming, which provides an interior solution without any subjective constraints, can be ...
Jiyong Eom, Yyounmo Koo, Cheolhung Cho   +2 more
exaly   +2 more sources

The effect of urbanization on agricultural water consumption and production: the extended positive mathematical programming approach

Environmental Geochemistry and Health, 2020
One of the most important factors in the agricultural sector is the supply of water. There are numerous factors affecting the supply of water in the agricultural sector. One of these factors is urban development. After the agricultural and industrial revolution, urban revolution is one of the most important issues in the economic development of ...
Sadegh Khalilian, Somayeh Avazdahandeh
exaly   +3 more sources

Positive mathematical programming.

2016
This chapter describes the use of mathematical programming for developing farm-level models that are useful for agricultural policy assessments. It focuses on the technique most frequently used in agricultural policy evaluation in the European Union (EU), positive mathematical programming (PMP).
ARFINI, Filippo, DONATI, Michele, Solazzo, Roberto, VENEZIANI, Mario   +3 more
openaire   +2 more sources

Theory and Application of Positive Mathematical Programming in Agriculture and the Environment

Annual Review of Resource Economics, 2014
This review critically looks at the theoretical and empirical foundations of positive mathematical programming and its evolution in the past decade or so. We show how the need to model new empirical phenomena has induced the literature to rethink model specifications and to address new questions in the area of calibrated programming.
Pierre Mérel, Richard Howitt
openaire   +2 more sources

Quota in Agricultural Positive Mathematical Programming Models

2005
In Belgium, an agricultural sector model for ex ante policy analysis is developed. The model, called SEPALE, uses an adapted version of Positive Mathematical Programming allowing for simultaneous modelling of individual farms. SEPALE applies farm level calibrated cost functions to the sample of the Farm Accountancy Data Network to account for the large
Buysse, Jeroen, Fernagut, Bruno, Harmignie, Olivier, Henry De Frahan, Bruno, Lauwers, Ludwig, Polomé, Philippe, Van Huylenbroeck, Guido, Van Meensel, Jef, Buysse, Jeroen, Fernagut, Bruno, Harmignie, Olivier, Henry De Frahan, Bruno, Lauwers, Ludwig, Polomé, Philippe, Van Huylenbroeck, Guido, Van Meensel, Jef   +15 more
openaire   +1 more source

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

Australian Journal of Agricultural and Resource Economics, 2022
In this reply, we briefly clarify some points raised in the comment regarding the goal of the paper, model estimation and comparison.
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Relative positioning of parts in assemblies using mathematical programming

Computer-Aided Design, 1990
In extending solid modeling technology to the modeling of assemblies of discrete parts, it is important to capture the position of each part in the assembly relative to the positions of its neighbors. By describing each part position in terms of relationships between various features of the part and mating features of its neighboring parts, it is ...
openaire   +1 more source