Castillo E.D. Process Optimization: A Statistical Approach

Castillo E.D. Process Optimization: A Statistical Approach
  • разное
  • pdf
  • 13.34 МБ
  • добавлен 05.02.2012
Springer – 2007, 462 pages
ISBN 9780387714349

A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main emphasis is process optimization. The book can also be used as a reference text by Industrial, Quality and Process Engineers and Applied Statisticians working in industry, in particular, in semiconductor/electronics manufacturing and in biotech manufacturing industries.
The major features of Process Optimization: A Statistical Approach are:
It provides a complete exposition of mainstream experimental design techniques, including designs for first and second order models, response surface and optimal designs;
Discusses mainstream response surface method in detail, including unconstrained and constrained (i.e., ridge analysis and dual and multiple response) approaches;
Includes an extensive discussion of Robust Parameter Design (RPD) problems, including experimental design issues such as Split Plot designs and recent optimization approaches used for RPD;
Presents a detailed treatment of Bayesian Optimization approaches based on experimental data (including an introduction to Bayesian inference), including single and multiple response optimization and model robust optimization;
Provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization and more;
Contains a discussion on robust optimization methods as used in mathematical programming and their application in response surface optimization;
Offers software programs written in MATLAB and MAPLE to implement Bayesian and frequentist process optimization methods;
Provides an introduction to the optimization of computer and simulation experiments including and introduction to stochastic approximation and stochastic perturbation stochastic approximation (SPSA) methods;
Includes an introduction to Kriging methods and experimental design for computer experiments;

Смотрите также


Luptacik M. Mathematical Optimization and Economic Analysis

Luptacik M. Mathematical Optimization and Economic Analysis

  • разное
  • pdf
  • 1.61 МБ
  • добавлен 09.01.2012
Springer | 2009 | ISBN: 0387895515 | 294 pages
"Mathematical Optimization and Economic Analysis" is a self-contained introduction to various optimization techniques used in economic modeling and analysis such as geometric, linear, and convex programming and data envelopment analysis. Through a systematic approach, this book...
Chen C.-H., Lee L.H. Stochastic Simulation Optimization: An Optimal Computing Budget Allocation

Chen C.-H., Lee L.H. Stochastic Simulation Optimization: An Optimal Computing Budget Allocation

  • разное
  • pdf
  • 2.07 МБ
  • добавлен 28.01.2012
World Scientific Publishing Co. Pte. Ltd. – 2010, 248 pages
ISBN: 9814282642

With the advance of new computing technology, simulation is becoming very popular for designing large, complex and stochastic engineering systems, since closed-form analytical solutions generally do not exist for such problems. However, the...
Baker K.R. Optimization Modeling with Spreadsheets

Baker K.R. Optimization Modeling with Spreadsheets

  • разное
  • pdf
  • 11.14 МБ
  • добавлен 07.12.2011
Wiley | 2011 | ISBN: 0470928638 | 432 pages
Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models
Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition con...
Platen E., Heath D. A Benchmark Approach to Quantitative Finance

Platen E., Heath D. A Benchmark Approach to Quantitative Finance

  • разное
  • pdf
  • 11.69 МБ
  • добавлен 02.02.2012
Springer – 2009, 702 pages
ISBN: 3540262121

The benchmark approach provides a general framework for financial market modeling, which extends beyond the standard risk-neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk mod...
Chinchuluun A. et al Optimization and Optimal Control: Theory and Applications

Chinchuluun A. et al Optimization and Optimal Control: Theory and Applications

  • разное
  • pdf
  • 3.3 МБ
  • добавлен 05.02.2012
Sрringer – 2010, 510 pages
ISBN: 0387894950

Optimization and optimal control are the main tools in decision making. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. Optimization and Optimal Control: Theory and Applications brings together the lat...
Hendrix E.M.T. Introduction to Nonlinear and Global Optimization

Hendrix E.M.T. Introduction to Nonlinear and Global Optimization

  • разное
  • pdf
  • 5.6 МБ
  • добавлен 05.02.2012
Springer – 2010, 208 pages
ISBN: 0387886699

Nonlinear Optimization is an intriguing area of study where mathematical theory, algorithms and applications converge to calculate the optimal values of continuous functions. Within this subject, Global Optimization aims at finding global optima for difficult problems in w...
Appa G.M., Pitsoulis L., Williams H.P. (Eds.) Handbook on Modelling for Discrete Optimization

Appa G.M., Pitsoulis L., Williams H.P. (Eds.) Handbook on Modelling for Discrete Optimization

  • разное
  • pdf
  • 14.93 МБ
  • добавлен 05.02.2012
Springer – 2006, 434 pages
ISBN 9780387329413

The primary objective underlying the Handbook on Modelling for Discrete Optimization is to demonstrate and detail the pervasive nature of Discrete Optimization. While its applications cut across an incredibly wide range of activities, many of the applications are only kn...
Varela J. Handbook of Optimization Theory: Decision Analysis and Application

Varela J. Handbook of Optimization Theory: Decision Analysis and Application

  • разное
  • pdf
  • 6.84 МБ
  • добавлен 10.01.2012
Publisher: Nova Science Pub Inc, 2011. - 631 pages
ISBN10: 1608765008

Mathematics Research Developments.
Several problems in modern genome mapping analysis belong to the field of discrete optimisation on a set of all possible orders. In this book, formulations, mathematical models and algorithms for genetic/geno...
Bertocchi M., Consigli G. Stochastic Optimization Methods in Finance and Energy: New Financial Products and Energy Market Strategies

Bertocchi M., Consigli G. Stochastic Optimization Methods in Finance and Energy: New Financial Products and Energy Market Strategies

  • разное
  • pdf
  • 17.79 МБ
  • добавлен 01.02.2012
Springer – 2011, 484 pages
ISBN: 1441995854

This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who coop...
Daraio C., Simar L. Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

Daraio C., Simar L. Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

  • разное
  • pdf
  • 5.78 МБ
  • добавлен 30.01.2012
Springer – 2007, 267 pages
ISBN: 0387351558

The topic of production efficiency has attracted attention since Adam Smith’s pin factory and even before. However, a rigorous analytical approach to the measurement of efficiency in production originated with the work of Koopmans (1951) and Debreu (1951), empirically appl...