Description

Book Synopsis
Numerous problems from diverse disciplines can be converted using mathematical modelling to an equation defined on suitable abstract spaces usually involving the n-dimensional Euclidean space or Hilbert space or Banach Space or even more general spaces. The solution of these equations is sought in closed form. But this is possible only in special cases. That is why researchers and practitioners use algorithms which seems to be the only alternative. Due to the explosion of technology, scientific and parallel computing, faster and faster computers become available. This development simply means that new optimized algorithms should be developed to take advantage of these improvements. There is exactly where we come in with our book containing such algorithms with application especially in problems from Economics but also from other areas such as Mathematical: Biology, Chemistry, Physics, Scientific, Parallel Computing, and also Engineering. The book can be used by senior undergraduate students, graduate students, researchers and practitioners in the aforementioned area in the classroom or as a reference material. Readers should know the fundamentals of numerical functional analysis, economic theory, and Newtonian physics. Some knowledge of computers and contemporary programming shall be very helpful to the readers.

Table of Contents
Preface; Definition, Existence and Uniqueness of Equilibrium in Oligopoly Markets; Numerical Methodology for Solving Oligopoly Problems; Global Convergence of Iterative Methods with Inverses; Ball Convergence of Third and Fourth Order Methods for Multiple Zeros; Local Convergence of Two Methods for Multiple Roots Eight Order; Choosing the Initial Points for Newtons Method; Extending the Applicability of an Ulm-Like Method under Weak Conditions; Projection Methods for Solving Equations with a Non-differentiable Term; Efficient Seventh Order of Convergence Solver; An Extended Result of Rall-Type for Newtons Method; Extension of Newtons Method for Cone Valued Operators; Inexact Newtons Method under Robinsons Condition; Newtons Method for Generalized Equations with Monotone Operators; Convergence of Newtons method and uniqueness of the solution for Banach Space Valued Equations; Convergence of Newtons method and uniqueness of the solution for Banach Space Valued Equations II; Extended Gauss-Newton Method: Convergence and Uniqueness Results; Newtons Method for Variational Problems: Wangs g-condition and Smales a-theory; Extending the Applicability of Newtons Method; On the Convergence of a Derivative Free Method using Recurrent Functions; Inexact Newton-like Method under Weak Lipschitz Conditions; Ball Convergence Theorem for Inexact Newton Methods in Banach Space; Extending the Semi-Local Convergence of a Stirling-Type Method; Newtons Method for Systems of Equations with Constant Rank Derivatives; Extended Super-Halley Method; Chebyshev-Type Method of Order Three; Extended Semi-Local Convergence of the Chebyshev-Halley Method; Gauss-Newton-Type Schemes for Undetermined Least Squares Problems; Glossary of Symbols.

Contemporary Algorithms for Solving Problems in

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    A Hardback by Ioannis K. Argyros

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      View other formats and editions of Contemporary Algorithms for Solving Problems in by Ioannis K. Argyros

      Publisher: Nova Science Publishers Inc
      Publication Date: 01/09/2020
      ISBN13: 9781536181289, 978-1536181289
      ISBN10: 1536181285

      Description

      Book Synopsis
      Numerous problems from diverse disciplines can be converted using mathematical modelling to an equation defined on suitable abstract spaces usually involving the n-dimensional Euclidean space or Hilbert space or Banach Space or even more general spaces. The solution of these equations is sought in closed form. But this is possible only in special cases. That is why researchers and practitioners use algorithms which seems to be the only alternative. Due to the explosion of technology, scientific and parallel computing, faster and faster computers become available. This development simply means that new optimized algorithms should be developed to take advantage of these improvements. There is exactly where we come in with our book containing such algorithms with application especially in problems from Economics but also from other areas such as Mathematical: Biology, Chemistry, Physics, Scientific, Parallel Computing, and also Engineering. The book can be used by senior undergraduate students, graduate students, researchers and practitioners in the aforementioned area in the classroom or as a reference material. Readers should know the fundamentals of numerical functional analysis, economic theory, and Newtonian physics. Some knowledge of computers and contemporary programming shall be very helpful to the readers.

      Table of Contents
      Preface; Definition, Existence and Uniqueness of Equilibrium in Oligopoly Markets; Numerical Methodology for Solving Oligopoly Problems; Global Convergence of Iterative Methods with Inverses; Ball Convergence of Third and Fourth Order Methods for Multiple Zeros; Local Convergence of Two Methods for Multiple Roots Eight Order; Choosing the Initial Points for Newtons Method; Extending the Applicability of an Ulm-Like Method under Weak Conditions; Projection Methods for Solving Equations with a Non-differentiable Term; Efficient Seventh Order of Convergence Solver; An Extended Result of Rall-Type for Newtons Method; Extension of Newtons Method for Cone Valued Operators; Inexact Newtons Method under Robinsons Condition; Newtons Method for Generalized Equations with Monotone Operators; Convergence of Newtons method and uniqueness of the solution for Banach Space Valued Equations; Convergence of Newtons method and uniqueness of the solution for Banach Space Valued Equations II; Extended Gauss-Newton Method: Convergence and Uniqueness Results; Newtons Method for Variational Problems: Wangs g-condition and Smales a-theory; Extending the Applicability of Newtons Method; On the Convergence of a Derivative Free Method using Recurrent Functions; Inexact Newton-like Method under Weak Lipschitz Conditions; Ball Convergence Theorem for Inexact Newton Methods in Banach Space; Extending the Semi-Local Convergence of a Stirling-Type Method; Newtons Method for Systems of Equations with Constant Rank Derivatives; Extended Super-Halley Method; Chebyshev-Type Method of Order Three; Extended Semi-Local Convergence of the Chebyshev-Halley Method; Gauss-Newton-Type Schemes for Undetermined Least Squares Problems; Glossary of Symbols.

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