Computer Aided Methods In Optimal Design And Operations
eBook - PDF

Computer Aided Methods In Optimal Design And Operations

  1. 236 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computer Aided Methods In Optimal Design And Operations

Book details
Table of contents
Citations

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Computer Aided Methods In Optimal Design And Operations by David Bogle, Julius Zilinskas in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Contents
  2. Preface
  3. Hybrid Methods for Optimisation
  4. An MILP Model for Multi-class Data Classification
  5. Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template
  6. Application of Stochastic Approximation in Technical Design
  7. Application of the Monte-Carlo Method to Stochastic Linear Programming
  8. Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation
  9. A Synergy Exploiting Evolutionary Approach to Complex Scheduling Problems
  10. Optimal Configuration, Design and Operation of Hybrid Batch Distillation/Pervaporation Processes
  11. Optimal Estimation of Parameters in Market Research Models
  12. A Redundancy Detection Approach to Mining Bioinformatics Data
  13. Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation
  14. Application of Parallel Arrays for Parallelisation of Data Parallel Algorithms
  15. CAD Grammars: Extending Shape and Graph Grammars for Spatial Design Modelling
  16. Multidimensional Scaling Using Parallel Genetic Algorithm
  17. Multidimensional Scaling in Protein and Pharmacological Sciences
  18. On Dissimilarity Measurement in Visualization of Multidimensional Data
  19. Correction of Distances in the Visualization of Multidimensional Data
  20. Forecasting of Bankruptcy with the Self-organizing Maps on the Basis of Altman's Z-score
  21. The Most Appropriate Model to Estimate Lithuanian Business Cycle
  22. Evaluating the Applicability of Time Temperature Integrators as Process Exploration and Validation Tools
  23. Optimal Deflection Yoke Tuning
  24. Analysis of an Extractive Fermentation Process for Ethanol Production Using a Rigorous Model and a Short-Cut Method
  25. Application of Generic Model Control for Autotrophic Biomass Specific Growth Control