Numerical methods for nonlinear engineering models

✍ Scribed by John R. Hauser

Publisher: Springer
Year: 2009
Tongue: English
Leaves: 1019
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Numerical Methods for Nonlinear Engineer

📁 Numerical Methods for Nonlinear Engineering Models

✍ John R. Hauser 📂 Library 📅 2009 🏛 Springer 🌐 English

This text emphasizes the general area of nonlinear engineering models with an in-depth discussion of computer algorithms for solving nonlinear problems coupled with appropriate examples of such nonlinear engineering problems. The present book is a balance of numerical theory applied to nonlinear or

Numerical Methods and Modelling for Engi

📁 Numerical Methods and Modelling for Engineering

✍ Richard Khoury, Douglas Wilhelm Harder (auth.) 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

<p>This textbook provides a step-by-step approach to numerical methods in engineering modelling. The authors provide a consistent treatment of the topic, from the ground up, to reinforce for students that numerical methods are a set of mathematical modelling tools which allow engineers to represent

Numerical Methods and Modelling for Engi

📁 Numerical Methods and Modelling for Engineering

✍ Richard Khoury, Douglas Wilhelm Harder 📂 Library 📅 2016 🏛 Springer 🌐 English

Numerical methods and modeling for chemi

📁 Numerical methods and modeling for chemical engineers

✍ Mark E. Davis 📂 Library 📅 1984 🏛 Wiley 🌐 English

Numerical methods and modeling for chemi

📁 Numerical methods and modeling for chemical engineers

✍ Mark E Davis 📂 Library 📅 1984 🏛 Wiley 🌐 English

Fast Numerical Methods for Mixed-Integer

📁 Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control

✍ Christian Kirches 📂 Library 📅 2011 🏛 Vieweg+Teubner Verlag 🌐 English

Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates