Engineering optimization methods and applications pdf
Ravindran A. Engineering Optimization: methods and applications [DJVU] - Все для студентаIt seems that you're in Germany. We have a dedicated site for Germany. This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the book also shows how to apply approximative solution techniques.
Introduction to Applied Optimization - Part 1
Save extra with 3 Offers. About The Book Optimization Methods For Engineers Book Summary: Primarily designed as a text for the postgraduate students of mechanical engineering and related branches, it provides an excellent introduction to optimization methodsthe overview, the history, and the development. It is equally suitable for the undergraduate students for their electives. The text then moves on to familiarize the students with the formulation of optimization problems, graphical solutions, analytical methods of nonlinear optimization, classical optimization techniques, single variable one-dimensional unconstrained optimization, multidimensional problems, constrained optimization, equality and inequality constraints. With complexities of human life, the importance of optimization techniques as a tool has increased manifold. The application of optimization techniques creates an efficient, effective and a better life.
Applications in Engineering and Operations Research
Ravindran A. Wiley; 2 edition May 19, , Konstantinos E.