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A Generalized Data Envelopment Analysis Model

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Release : 1993
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Book Synopsis A Generalized Data Envelopment Analysis Model by : Gang Yu

Download or read book A Generalized Data Envelopment Analysis Model written by Gang Yu. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:

Analyzing the Properties of K-cone in the Generalized Data Envelopment Analysis Model

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Release : 1993
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Kind : eBook
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Book Synopsis Analyzing the Properties of K-cone in the Generalized Data Envelopment Analysis Model by : Quanling Wei

Download or read book Analyzing the Properties of K-cone in the Generalized Data Envelopment Analysis Model written by Quanling Wei. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to the Theory and Application of Data Envelopment Analysis

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Release : 2013-06-29
Genre : Business & Economics
Kind : eBook
Book Rating : 07X/5 ( reviews)

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Book Synopsis Introduction to the Theory and Application of Data Envelopment Analysis by : Emmanuel Thanassoulis

Download or read book Introduction to the Theory and Application of Data Envelopment Analysis written by Emmanuel Thanassoulis. This book was released on 2013-06-29. Available in PDF, EPUB and Kindle. Book excerpt: 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957).

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

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Release : 2007-06-08
Genre : Business & Economics
Kind : eBook
Book Rating : 076/5 ( reviews)

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Book Synopsis Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis by : Joe Zhu

Download or read book Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis written by Joe Zhu. This book was released on 2007-06-08. Available in PDF, EPUB and Kindle. Book excerpt: In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.

Interior-point Polynomial Algorithms in Convex Programming

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Release : 1994-01-01
Genre : Mathematics
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Book Rating : 791/5 ( reviews)

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Book Synopsis Interior-point Polynomial Algorithms in Convex Programming by : Yurii Nesterov

Download or read book Interior-point Polynomial Algorithms in Convex Programming written by Yurii Nesterov. This book was released on 1994-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Specialists working in the areas of optimization, mathematical programming, or control theory will find this book invaluable for studying interior-point methods for linear and quadratic programming, polynomial-time methods for nonlinear convex programming, and efficient computational methods for control problems and variational inequalities. A background in linear algebra and mathematical programming is necessary to understand the book. The detailed proofs and lack of "numerical examples" might suggest that the book is of limited value to the reader interested in the practical aspects of convex optimization, but nothing could be further from the truth. An entire chapter is devoted to potential reduction methods precisely because of their great efficiency in practice.

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