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**Titulos:**

Theory and application of mathematical programming / G. Mitra.

**Autores Personales:**

Mitra, G.

**ISBN:**

0125004508 (hardcover)

**Lugar de Edición:**

London :

**Editor:**

Academic Press,

**Fecha de Edición:**

1976.

**Notas Formateada:**

Preface - Ch.1. What is mathemathical programming? - Ch.2. Equivalent linear programming problems and the simplex method - Ch.3. Some ancillary features of the simplex method - Ch.4. The revised simplex methods - Ch.5. computational refinements and extensions within the context of the revised simplex method - Ch.6. Duality properties of linear programs and post optimal analysis - Ch.7. Integer and mixed integer linear programs - Ch.8. Formulating mathemathical programming models: linear programming, integer programming and nonlinear programming by extending linear programming techniques - Ch.9. The general mathemathical programming problem: language and Kuhn-Tucker multipliers - Ch.10. Convex quadratic programming: Its applications and its solution by the use of Kuhn-Tucker theory - Ch.11. Linear programming quadratic programming. Theory of games, and the fundamental problem: Algebra and combinatorics of Pivot theory for such problems - Appndix 1. Some mathemathical background ; 2. On using a linear programming system ; 3. UIMP: User interface to mathemathical programming a modelling language.

**Nota de contenido:**

Mathematical programmins is going to occupy a central position in applied mathemathics, comparable to that enjoyed by differential equations until a few decades ago. It may sound crass and prophetic, but this comparison is in many ways apt as both these topics have been developed to model physical situations, and both are used to obtain quantitative answers to questions concerning such situations. The study of mathemathical programming stems from two main motivations: one the identification of the problems which can be modelled by this technique and the other the development of theory and, more pertinently, solution techniques which may be applied to obtain quantitative answers. There is not dearth of text books on this topic, and it should indeed lift the heart of every proponent of mathemathical programming that the entire field is in a state of growth.

**Palabras clave:**

PROGRAMMING (MATHEMATHICS); PROGRAMACIÓN (MATEMÁTICAS)

**Leader:**

nam#

**Campo 008:**

120703s1976####xxk####f######000#0#eng#d

**Campo 020:**

##^a0125004508 (hardcover)

**Campo 100:**

1#^aMitra, G.^q(Gautan)^gDepartment of statistical and operational research, Brunel University, Uxbridge, United Kindom.

**Campo 245:**

10^aTheory and application of mathematical programming /^cG. Mitra.

**Campo 246:**

**Campo 260:**

##^aLondon :^bAcademic Press,^c1976.

**Campo 300:**

##^aix, 214 p. :^bgráf., tab. ;^c23 cm.

**Campo 505:**

0#^aPreface - Ch.1. What is mathemathical programming? - Ch.2. Equivalent linear programming problems and the simplex method - Ch.3. Some ancillary features of the simplex method - Ch.4. The revised simplex methods - Ch.5. computational refinements and extensions within the context of the revised simplex method - Ch.6. Duality properties of linear programs and post optimal analysis - Ch.7. Integer and mixed integer linear programs - Ch.8. Formulating mathemathical programming models: linear programming, integer programming and nonlinear programming by extending linear programming techniques - Ch.9. The general mathemathical programming problem: language and Kuhn-Tucker multipliers - Ch.10. Convex quadratic programming: Its applications and its solution by the use of Kuhn-Tucker theory - Ch.11. Linear programming quadratic programming. Theory of games, and the fundamental problem: Algebra and combinatorics of Pivot theory for such problems - Appndix 1. Some mathemathical background ; 2. On using a linear programming system ; 3. UIMP: User interface to mathemathical programming a modelling language.

**Campo 520:**

##^aMathematical programmins is going to occupy a central position in applied mathemathics, comparable to that enjoyed by differential equations until a few decades ago. It may sound crass and prophetic, but this comparison is in many ways apt as both these topics have been developed to model physical situations, and both are used to obtain quantitative answers to questions concerning such situations. The study of mathemathical programming stems from two main motivations: one the identification of the problems which can be modelled by this technique and the other the development of theory and, more pertinently, solution techniques which may be applied to obtain quantitative answers. There is not dearth of text books on this topic, and it should indeed lift the heart of every proponent of mathemathical programming that the entire field is in a state of growth.

**Campo 650:**

#7^aPROGRAMMING (MATHEMATHICS)

**Campo 650:**

#7^aPROGRAMACIÓN (MATEMÁTICAS)

**Proveniencia:**

##^aUniversidad Nacional de San Luis - Sistema de Bibliotecas

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**Institucion:**

Universidad Nacional de San Luis

**Dependencia:**

Sistema de Bibliotecas - Colección MARC21