Linear Optimization and Extensions: Theory and Algorithms

Linear Optimization and Extensions: Theo

📁 Linear Optimization and Extensions: Theory and Algorithms

✍ Shu-Cherng Fang, Sarat Puthenpura 📂 Library 📅 1993 🏛 Prentice Hall College Div 🌐 English

Theory and algorithms for linear optimiz

📁 Theory and algorithms for linear optimization

✍ C. Roos, T. Terlaky, J.-Ph. Vial 📂 Library 📅 1997 🏛 Wiley 🌐 English

Linear Optimization and Extensions

📁 Linear Optimization and Extensions

✍ Manfred Padberg (auth.) 📂 Library 📅 1999 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>I was pleasantly surprised when I was asked by Springer-Verlag to prepare a second edition of this volume on Linear Optimization and Extensions, which - not exactly contrary to my personal expectations - has apparently been accepted reasonably weIl by the global optimization community. My objecti

Extensions of Linear-Quadratic Control,

📁 Extensions of Linear-Quadratic Control, Optimization and Matrix Theory

✍ David H. Jacobson (Eds.) 📂 Library 📅 1977 🏛 AP 🌐 English

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang

Extensions of Linear-Quadratic Control,

📁 Extensions of Linear-Quadratic Control, Optimization and Matrix Theory

✍ David H. Jacobson (Eds.) 📂 Library 📅 1977 🏛 Academic Press 🌐 English

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang

Support vector machines : optimization b

📁 Support vector machines : optimization based theory, algorithms, and extensions

✍ Naiyang Deng; Yingjie Tian; Chunhua Zhang 📂 Library 🏛 CRC Press Taylor & Francis Group 🌐 English

''Preface Support vector machines (SVMs), which were introduced by Vapnik in the early 1990s, are proved effective and promising techniques for data mining. SVMs have recently been breakthroughs in advance in their theoretical studies and implementations of algorithms. They have been successfully ap