Classification performance of mathematical programming techniques in discriminant analysis: Results for small and medium sample sizes

1990 ◽  
Vol 11 (4) ◽  
pp. 243-253 ◽  
Author(s):  
Antonie Stam ◽  
Dennis G. Jones
Keyword(s):  
Discriminant Analysis ◽  
Mathematical Programming ◽  
Classification Performance ◽  
Sample Sizes ◽  
Programming Techniques ◽  
Medium Sample

Parameter estimation in kinetic models for large scale biotechnological systems with advanced mathematical programming techniques

2014 ◽  
Vol 83 ◽  
pp. 104-115 ◽  
Author(s):  
Jimena Di Maggio ◽  
Cecilia Paulo ◽  
Vanina Estrada ◽  
Nora Perotti ◽  
Juan C. Diaz Ricci ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Mathematical Programming ◽  
Kinetic Models ◽  
Large Scale ◽  
Programming Techniques

scholarly journals A Nonparametric Efficiency Analysis for a Sample of Kansas Swine Operations

1998 ◽  
Vol 30 (1) ◽  
pp. 189-199 ◽  
Author(s):  
William W. Rowland ◽  
Michael R. Langemeier ◽  
Bryan W. Schurle ◽  
Allen M. Featherstone
Keyword(s):  
Mathematical Programming ◽  
Efficiency Analysis ◽  
Firm Efficiency ◽  
Economic Competitiveness ◽  
Swine Operations ◽  
Programming Techniques ◽  
Overall Efficiency ◽  
Nonparametric Efficiency ◽  
Nonparametric Efficiency Analysis

AbstractThis study evaluates the economic competitiveness of a sample of Kansas farrow-to-finish operations by estimating relative firm efficiency using nonparametric mathematical programming techniques. Measures of technical, allocative, scale, economic, and overall efficiency are then related to farm characteristics to identify sources of efficiency. Results indicate that overall efficient farms produce a high quantity of pork per litter, produce a portion of their own feed grains, generate a large portion of their income from swine and other livestock enterprises, and have a lower debt-to-asset ratio.

Computerized Selection of Optimum Machining Conditions for a Job Requiring Multiple Operations

1978 ◽  
Vol 100 (3) ◽  
pp. 356-362 ◽  
Author(s):  
S. S. Rao ◽  
S. K. Hati
Keyword(s):  
Nonlinear Programming ◽  
Mathematical Programming ◽  
Machine Tools ◽  
Machining Conditions ◽  
Coupling Constraints ◽  
Programming Techniques ◽  
Mathematical Programming Problems ◽  
The Individual ◽  
The Cost ◽  
Selection Of

The problem of determining the optimum machining conditions for a job requiring multiple operations has been investigated. Three objectives, namely, the minimization of the cost of production per piece, the maximization of the production rate and, the maximization of the profit are considered in this work. In addition to the usual constraints that arise from the individual machine tools, some coupling constraints have been included in the formulation. The problems are formulated as standard mathematical programming problems, and nonlinear programming techniques are used to solve the problems.

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