Techniques for solving programming problems: With comparison of the techniques for Quadratic and Non-linear problems - Tapa blanda
Sinopsis
The work being presented in this thesis is devoted to investigate the different techniques for solving Quadratic Programming Problems (QPP) and Non-Linear Programming Problems (NLPP). We first develop a technique to generalize the traditional simplex method for solving a special type (Quasi-concave) QPP in which the objective function can be factorized. We then investigate three well known methods in Operation Research known as Lagrange's method, Karush-Kuhn-Tucker (KKT) method and Wolf's method for solving QP and NLP problems. Graphical representation of the above three methods are also demonstrated along with their merits and demerits. We implement Lagrange's method for solving any type of NLPP. For this, we develop a computer technique along with algorithm. We then develop another computer technique for the implementation of KKT method for solving any NLPP. We also modify Wolf's method to solve any type of QP problems. For this, we develop a computer technique. All the codes in this thesis are developed by using the programming language Mathematica. To demonstrate all of our computer codes, we illustrate number of numerical examples.
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Reseña del editor
The work being presented in this thesis is devoted to investigate the different techniques for solving Quadratic Programming Problems (QPP) and Non-Linear Programming Problems (NLPP). We first develop a technique to generalize the traditional simplex method for solving a special type (Quasi-concave) QPP in which the objective function can be factorized. We then investigate three well known methods in Operation Research known as Lagrange's method, Karush-Kuhn-Tucker (KKT) method and Wolf's method for solving QP and NLP problems. Graphical representation of the above three methods are also demonstrated along with their merits and demerits. We implement Lagrange's method for solving any type of NLPP. For this, we develop a computer technique along with algorithm. We then develop another computer technique for the implementation of KKT method for solving any NLPP. We also modify Wolf's method to solve any type of QP problems. For this, we develop a computer technique. All the codes in this thesis are developed by using the programming language Mathematica. To demonstrate all of our computer codes, we illustrate number of numerical examples.
Biografía del autor
Bimal Kumar Datta B.Sc(University of Dhaka),M.S(University of Dhaka) Faculty of Mathematics, IUBAT(International University of Business Agriculture and Technology). Research Interests: Operational Research, Ordinary Differential Equations, Numerical Analysis, Financial Mathematics.
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Techniques for solving programming problems
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LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838383907
ISBN 13: 9783838383903
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The work being presented in this thesis is devoted to investigate the different techniques for solving Quadratic Programming Problems (QPP) and Non-Linear Programming Problems (NLPP). We first develop a technique to generalize the traditional simplex method for solving a special type (Quasi-concave) QPP in which the objective function can be factorized. We then investigate three well known methods in Operation Research known as Lagrange's method, Karush-Kuhn-Tucker (KKT) method and Wolf's method for solving QP and NLP problems. Graphical representation of the above three methods are also demonstrated along with their merits and demerits. We implement Lagrange's method for solving any type of NLPP. For this, we develop a computer technique along with algorithm. We then develop another computer technique for the implementation of KKT method for solving any NLPP. We also modify Wolf's method to solve any type of QP problems. For this, we develop a computer technique. All the codes in this thesis are developed by using the programming language Mathematica. To demonstrate all of our computer codes, we illustrate number of numerical examples. 84 pp. Englisch. Nº de ref. del artículo: 9783838383903
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Techniques for solving programming problems
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ISBN 13: 9783838383903
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Datta Bimal KumarBimal Kumar Datta B.Sc(University of Dhaka),M.S(University of Dhaka) Faculty of Mathematics, IUBAT(International University of Business Agriculture and Technology). Research Interests: Operational Research, Ordinary . Nº de ref. del artículo: 5418645
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Techniques for solving programming problems
Publicado por
LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838383907
ISBN 13: 9783838383903
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -The work being presented in this thesis is devoted to investigate the different techniques for solving Quadratic Programming Problems (QPP) and Non-Linear Programming Problems (NLPP). We first develop a technique to generalize the traditional simplex method for solving a special type (Quasi-concave) QPP in which the objective function can be factorized. We then investigate three well known methods in Operation Research known as Lagrange''s method, Karush-Kuhn-Tucker (KKT) method and Wolf''s method for solving QP and NLP problems. Graphical representation of the above three methods are also demonstrated along with their merits and demerits. We implement Lagrange''s method for solving any type of NLPP. For this, we develop a computer technique along with algorithm. We then develop another computer technique for the implementation of KKT method for solving any NLPP. We also modify Wolf''s method to solve any type of QP problems. For this, we develop a computer technique. All the codes in this thesis are developed by using the programming language Mathematica. To demonstrate all of our computer codes, we illustrate number of numerical examples.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Nº de ref. del artículo: 9783838383903
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Techniques for solving programming problems : With comparison of the techniques for Quadratic and Non-linear problems
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838383907
ISBN 13: 9783838383903
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The work being presented in this thesis is devoted to investigate the different techniques for solving Quadratic Programming Problems (QPP) and Non-Linear Programming Problems (NLPP). We first develop a technique to generalize the traditional simplex method for solving a special type (Quasi-concave) QPP in which the objective function can be factorized. We then investigate three well known methods in Operation Research known as Lagrange's method, Karush-Kuhn-Tucker (KKT) method and Wolf's method for solving QP and NLP problems. Graphical representation of the above three methods are also demonstrated along with their merits and demerits. We implement Lagrange's method for solving any type of NLPP. For this, we develop a computer technique along with algorithm. We then develop another computer technique for the implementation of KKT method for solving any NLPP. We also modify Wolf's method to solve any type of QP problems. For this, we develop a computer technique. All the codes in this thesis are developed by using the programming language Mathematica. To demonstrate all of our computer codes, we illustrate number of numerical examples. Nº de ref. del artículo: 9783838383903
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Techniques for solving programming problems: With comparison of the techniques for Quadratic and Non-linear problems
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838383907
ISBN 13: 9783838383903
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