
Nonconvex Optimization in Mechanics
Algorithms, Heuristics and Engineering Applications by the F.E.M.
Kluwer Academic Publishers
Published on 31. December 1997
Book
Hardback
XX, 288 pages
978-0-7923-4812-2 (ISBN)
Description
Nonconvexity and nonsmoothness arise in a large class of engineering applica tions. In many cases of practical importance the possibilities offered by opti mization with its algorithms and heuristics can substantially improve the per formance and the range of applicability of classical computational mechanics algorithms. For a class of problems this approach is the only one that really works. The present book presents in a comprehensive way the application of opti mization algorithms and heuristics in smooth and nonsmooth mechanics. The necessity of this approach is presented to the reader through simple, represen tative examples. As things become more complex, the necessary material from convex and nonconvex optimization and from mechanics are introduced in a self-contained way. Unilateral contact and friction problems, adhesive contact and delamination problems, nonconvex elastoplasticity, fractal friction laws, frames with semi rigid connections, are among the applications which are treated in details here. Working algorithms are given for each application and are demonstrated by means of representative examples. The interested reader will find helpful references to up-to-date scientific and technical literature so that to be able to work on research or engineering topics which are not directly covered here.
Reviews / Votes
` ... The book is well written and organized. It presents an important contribution to the growing field of nonsmooth, nonconvex computational mechanics and engineering. The large number of algorithms and heuristics for nonsmooth optimization problems and the many examples give a comprehensive overview of this field. 'Pekka Neittaanmaki in Mathematical Reviews, 99b:73032
` ... The publication of this book ... is a timely and authoritative introduction to the engineering applications of non-smooth/non-convex mechanics. Written by two relatively young experts in both applied mathematics and mechanics, this book presents both an excellent introduction and comprehensive applications for the wide range of non-smooth/non-convex engineering problems with emphasis on numerical optimization and computational mechanics. ... The publication of this book is definitely an important step in the development of non-smooth/non-convex mechanics ... '
Manohar Kamat , David Yang Gao in Applied Mechanics Reviews, 52:6 (1999)
` ... the authors, who are well-known active researchers in the field, should be congratulated for having tackled the above difficult, useful and timely task and for having achieved their goals to a large extent, and very successfully. ... this book represents, in my opinion, a noteworthy addition to the literature on engineering mechanics and on its mathematical and numerical methodologies. It is bound to be very useful to researchers, industrial analysts and graduate students alike, in mechanics of materials and structures. '
Giulio Maier in Meccanica, 34:4 (1999)
More details
Series
Edition
1998 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XX, 288 p.
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 19 mm
Weight
612 gr
ISBN-13
978-0-7923-4812-2 (9780792348122)
DOI
10.1007/978-1-4615-5829-3
Schweitzer Classification
Other editions
Additional editions

E.S. Mistakidis | Georgios E. Stavroulakis
Nonconvex Optimization in Mechanics
Algorithms, Heuristics and Engineering Applications by the F.E.M.
Book
11/2013
Springer
€213.99
Shipment within 7-9 days
Content
Part I: Nonconvexity in Engineering Applications. 1. Nonconvexity in Engineering Applications. Part II: Applied Nonconvex Optimization Background. 2. Applied Nonconvex Optimization Background. Part III: Superpotential Modelling and Optimization in Mechanics with and without Convexity and Smoothness. 3. Convex Superpotential Problems. 4. Nonconvex Superpotential Problems. 5. Optimal Design Problems. Part IV: Computational Mechanics. Computer Implementation, Applications and Examples. 6. Computational Mechanics Algorithms. 7. Applications. Index.