Computational Methods for Modeling of Nonlinear Systems, Vol. 1

Computational Methods for Modelling of N

📁 Computational Methods for Modelling of Nonlinear Systems

✍ A. Torokhti and P. Howlett (Eds.) 📂 Library 📅 2007 🏛 Elsevier Books 🌐 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

Computational Methods for Modelling of N

📁 Computational Methods for Modelling of Nonlinear Systems

✍ A. Torokhti and P. Howlett (Eds.) 📂 Library 📅 2007 🏛 Elsevier 🌐 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

Computational Methods for Modelling of N

📁 Computational Methods for Modelling of Nonlinear Systems

✍ A. Torokhti and P. Howlett (Eds.) 📂 Library 📅 2007 🏛 Elsevier Science 🌐 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

Computational Methods for Modeling of No

📁 Computational Methods for Modeling of Nonlinear Systems

✍ Anatoli Torokhti; Phil Howlett 📂 Library 📅 1965 🏛 Elsevier Science 🌐 English

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are

Computational Methods for Modelling of N

📁 Computational Methods for Modelling of Nonlinear Systems

✍ A. Torokhti and P. Howlett (Eds.) 📂 Library 📅 2007 🏛 Elsevier Science 🌐 English

Computational Methods for Modeling of No

📁 Computational Methods for Modeling of Nonlinear Systems, Volume 127 (Mathematics in Science and Engineering)

✍ Anatoli Torokhti, Phil Howlett 📂 Library 📅 1976 🏛 Elsevier Science 🌐 English

<span>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-L