A Charnes
Biographic Data
| ID | 1147097 |
|---|---|
| NAME | A Charnes |
| GIVEN NAMES | A |
| FAMILY NAME | Charnes |
| SIGNATURE | CHARNES A |
| AFFILIATIONS | The University of Texas at Austin |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1954 |
| LATEST PUBLICATION YEAR | 1984 |
| H-INDEX | 0 |
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serves as a planning aid to management. Data Envelopment Analysis reverses this role and employs mathematical programming to obtain ex post facto evaluations of the relative efficiency of management accomplishments, however they may h…
Evaluating Program and Managerial Efficiency
A model for measuring the efficiency of Decision Making Units (=DMU's) is presented, along with related methods of implementation and interpretation. The term DMU is intended to emphasize an orientation toward managed entities in the public and/or not-for-profit sectors. The proposed approach is applicable to the multiple outputs and designated inputs which are common for such DMU's. A priori weights, or imputations of a market-price-value charac…
Gradient States for Some Dualities with the C2 Extremal Principle ††This research was partly supported by Project NR047-021, CNR Contract N00014-75-C-0569 with the Center for Cybernetic Studies, The U…
Adventures in Invention
Measuring the efficiency of decision making units
A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs. A scalar measure of the efficiency of each participating unit is thereby provided, along with methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs. Equivalences are es…
An Introduction to Linear Programming
No prominent works on this page.
An Introduction to Linear Programming
Measuring the efficiency of decision making units
A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs. A scalar measure of the efficiency of each participating unit is thereby provided, along with methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs. Equivalences are es…
Gradient States for Some Dualities with the C2 Extremal Principle ††This research was partly supported by Project NR047-021, CNR Contract N00014-75-C-0569 with the Center for Cybernetic Studies, The U…
Adventures in Invention
Evaluating Program and Managerial Efficiency
A model for measuring the efficiency of Decision Making Units (=DMU's) is presented, along with related methods of implementation and interpretation. The term DMU is intended to emphasize an orientation toward managed entities in the public and/or not-for-profit sectors. The proposed approach is applicable to the multiple outputs and designated inputs which are common for such DMU's. A priori weights, or imputations of a market-price-value charac…
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serves as a planning aid to management. Data Envelopment Analysis reverses this role and employs mathematical programming to obtain ex post facto evaluations of the relative efficiency of management accomplishments, however they may h…
Mathematical optimization (5 works) · Mathematics (5 works) · Computer Science (4 works) · Linear programming (4 works) · Algorithm (3 works) · Economics (3 works) · Efficiency Analysis Using DEA (3 works) · Operations research (3 works) · Optimization and Mathematical Programming (3 works) · Advanced Optimization Algorithms Research (2 works)