Nonconvex Optimization in Mechanics

Topological Methods in Complementarity Theory (Nonconvex Optimization and Its Applications) by G. Isac

Topological Methods in Complementarity Theory (Nonconvex Optimization and Its Applications) by G. Isac
English | Mar 31, 2000 | ISBN: 0792362748 | 690 Pages | PDF | 23 MB

Complementarity theory is a new domain in applied mathematics and is concerned with the study of complementarity problems. These problems represent a wide class of mathematical models related to optimization, game theory, economic engineering, mechanics, fluid mechanics, stochastic optimal control etc.

Discrete Optimization in Architecture: Building Envelope  eBooks & eLearning

Posted by arundhati at Oct. 16, 2016
Discrete Optimization in Architecture: Building Envelope

Machi Zawidzki, "Discrete Optimization in Architecture: Building Envelope"
2016 | ISBN-10: 981101390X | 121 pages | PDF | 12 MB

Optimization in Economics and Finance {Repost}  eBooks & eLearning

Posted by tanas.olesya at Sept. 22, 2016
Optimization in Economics and Finance {Repost}

Optimization in Economics and Finance: Some Advances in Non-Linear, Dynamic, Multi-Criteria and Stochastic Models by Bruce D. Craven
English | 23 Feb. 2005 | ISBN: 0387242791 | 176 Pages | PDF | 3 MB

Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.

Discrete Optimization in Architecture  eBooks & eLearning

Posted by Underaglassmoon at Sept. 19, 2016
Discrete Optimization in Architecture

Discrete Optimization in Architecture
Springer | Civil Engineering | October 17, 2016 | ISBN-10: 981101390X | 121 pages | pdf | 12.12 mb

Authors: Zawidzki, Machi
Optimization in the Real World: Toward Solving Real-World Optimization Problems (Mathematics for Industry) (Repost)

Optimization in the Real World: Toward Solving Real-World Optimization Problems (Mathematics for Industry) By Katsuki Fujisawa, Yuji Shinano, Hayato Waki
2015 | 188 Pages | ISBN: 443155419X | PDF | 7 MB
Robust Discrete Optimization and Its Applications (Nonconvex Optimization and Its Applications) by Gang Yu

Robust Discrete Optimization and Its Applications (Nonconvex Optimization and Its Applications) by Gang Yu
English | Nov 30, 1996 | ISBN: 0792342917 | 372 Pages | PDF | 10 MB

This book deals with decision making in environments of significant data unĀ­ certainty, with particular emphasis on operations and production management applications.
Semi-Infinite Programming (Nonconvex Optimization and Its Applications) by Rembert Reemtsen

Semi-Infinite Programming (Nonconvex Optimization and Its Applications) by Rembert Reemtsen
English | Dec 3, 2010 | ISBN: 1441947957 | 417 Pages | PDF | 12 MB

Semi-infinite programming (briefly: SIP) is an exciting part of mathematical programming. SIP problems include finitely many variables and, in contrast to finite optimization problems, infinitely many inequality constraints.
Softcover reprint of hardcover 1st ed. 1998
Extraction Optimization in Food Engineering (Food Science and Technology) by Constantina Tzia [Repost]

Extraction Optimization in Food Engineering (Food Science and Technology) by Constantina Tzia
English | July 21, 2003 | ISBN: 0824741080 | 438 Pages | PDF | 6 MB

The only comprehensive source on extraction process optimization, this book details the installation, construction, development, modeling, control, and economics of conventional and specialized extraction systems in the food processing industry. It supplies case studies for illustration of specific extraction systems in commercial food production.
Topics in Nonconvex Optimization: Theory and Applications (Repost)

Topics in Nonconvex Optimization: Theory and Applications By Shashi K. Mishra
2011 | 286 Pages | ISBN: 1441996397 | PDF | 3 MB
Multi-Objective Optimization in Computer Networks Using Metaheuristics by Ramon Fabregat [Repost]

Multi-Objective Optimization in Computer Networks Using Metaheuristics by Ramon Fabregat
English | March 23, 2007 | ISBN: 0849380847 | 468 pages | PDF | 9 MB

Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as TV over the Internet, radio over the Internet, and multipoint video streaming-require reduced bandwidth consumption, end-to-end delay, and packet loss ratio.