
- 236 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Computer Aided Methods In Optimal Design And Operations
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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
- Contents
- Preface
- Hybrid Methods for Optimisation
- An MILP Model for Multi-class Data Classification
- Implementation of Parallel Optimization Algorithms Using Generalized Branch and Bound Template
- Application of Stochastic Approximation in Technical Design
- Application of the Monte-Carlo Method to Stochastic Linear Programming
- Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation
- A Synergy Exploiting Evolutionary Approach to Complex Scheduling Problems
- Optimal Configuration, Design and Operation of Hybrid Batch Distillation/Pervaporation Processes
- Optimal Estimation of Parameters in Market Research Models
- A Redundancy Detection Approach to Mining Bioinformatics Data
- Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation
- Application of Parallel Arrays for Parallelisation of Data Parallel Algorithms
- CAD Grammars: Extending Shape and Graph Grammars for Spatial Design Modelling
- Multidimensional Scaling Using Parallel Genetic Algorithm
- Multidimensional Scaling in Protein and Pharmacological Sciences
- On Dissimilarity Measurement in Visualization of Multidimensional Data
- Correction of Distances in the Visualization of Multidimensional Data
- Forecasting of Bankruptcy with the Self-organizing Maps on the Basis of Altman's Z-score
- The Most Appropriate Model to Estimate Lithuanian Business Cycle
- Evaluating the Applicability of Time Temperature Integrators as Process Exploration and Validation Tools
- Optimal Deflection Yoke Tuning
- Analysis of an Extractive Fermentation Process for Ethanol Production Using a Rigorous Model and a Short-Cut Method
- Application of Generic Model Control for Autotrophic Biomass Specific Growth Control