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Stochastic Approximation [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Wasan, M. T.
  • Author:  Wasan, M. T.
  • ISBN-10:  0521604850
  • ISBN-10:  0521604850
  • ISBN-13:  9780521604857
  • ISBN-13:  9780521604857
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  216
  • Pages:  216
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2004
  • Pub Date:  01-May-2004
  • SKU:  0521604850-11-MPOD
  • SKU:  0521604850-11-MPOD
  • Item ID: 100891107
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jun 30 to Jul 02
  • Notes: Brand New Book. Order Now.
A rigorous mathematical treatment of the technique for studying the properties of an experimental situation.Stochastic approximation is a technique for studying the properties of an experimental situation; it has important applications in fields such as medicine and engineering. Dr Wasan gives a rigorous mathematical treatment of the subject. The discussion and proofs of theorems are easy to follow, while a number of interesting examples show how the techniques may be applied in many fields.Stochastic approximation is a technique for studying the properties of an experimental situation; it has important applications in fields such as medicine and engineering. Dr Wasan gives a rigorous mathematical treatment of the subject. The discussion and proofs of theorems are easy to follow, while a number of interesting examples show how the techniques may be applied in many fields.Stochastic approximation is a relatively new technique for studying the properties of an experimental situation; it has important applications in fields such as medicine and engineering. The subject can be treated either largely as a branch of pure mathematics, or else from an empirical and practical angle. In this book, Dr Wasan gives a rigorous mathematical treatment of the subject, drawing together the scattered results of a number of authors. He discusses the conditions under which the method gives a valid approximation to the required solution; methods for optimal choice of parameters to hasten convergence; the comparison of the method with other techniques. The discussion and proofs of theorems are given in enough detail to make them easy to follow, while a number of interesting examples show how the techniques may be applied in many fields.Preface; 1. Introduction; 2. The Robbins-Monro method; 3. The Kiefer-Wolfowitz method; 4. Applications; 5. Multivariate stochastic-approximation methods; 6. Asymptotic normality; 7. The approximation for continuous random processes; 8. Up-and-down method; Al#œ
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