Introduction to Non-Linear Optimization
In this textbook the author concentrates on presenting the main core of methods in non-linear optimization that have evolved over the past two decades. It is intended primarily for actual or potential practising optimizer who need to know how different methods work, how to select methods for the job in hand and how to use the chosen method. While the level of mathematical rigour is not very high, the book necessarily contains a considerable amount of mathematical argument and pre-supposes a knowledge such as would be attained by someone reaching the end of the second year of an undergraduate course in physical science, engineering or computational mathematics. The main emphasis is on linear algebra, and more advanced topics are discussed briefly where relevant in the text. The book will appeal to a range of students and research workers working on optimization problems in such fields as applied mathematics, computer science, engineering, business studies, economics and operations research.
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Nonlinear System Identification: From Classical Approaches to Neural ...
Limited preview - 2001
Introduction to non-linear optimization
Introduction to non-linear optimization. Purchase this Book · Purchase this Book. Source. Pages: 243. Year of Publication: 1985. ISBN:0-387-91252-5 ...
Mélard, Roy: Modčles de séries chronologiques avec seuils
2014 Introduction to non-linear optimization, macmillan, London.  T. Terasvirta et R. Luukkonen (1985). 2014 Choosing between linear and threshold ...
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traincgp (Neural Network Toolbox)
アルゴリズムの詳しい説明は、Scales (Introduction to Non-Linear Optimization 1985) の78ページを参照してください。 訓練は、つぎのいずれかの条件が生じたときに...
dl.cybernet.co.jp/ matlab/ support/ manual/ r13/ toolbox/ nnet/ traincgp.shtml