Partitions. Optimality and clustering. Vol 2 Multi-parameter

Partitions : Optimality and Clustering :

📁 Partitions : Optimality and Clustering : Vol II: Multi-Parameter

✍ Frank K Hwang, Uriel G Rothblum, Hongbin Chen 📂 Library 📅 2013 🏛 World Scientific Publishing Company 🌐 English

The need for optimal partition arises from many real-world problems involving the distribution of limited resources to many users. The "clustering" problem, which has recently received a lot of attention, is a special case of optimal partitioning. This book is the first attempt to collect all theore

Multi-parametric Optimization and Contro

📁 Multi-parametric Optimization and Control

✍ Efstratios N. Pistikopoulos; Nikolaos A. Diangelakis; Richard Oberdieck 📂 Library 📅 2020 🏛 Wiley 🌐 English

Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive coverage of recent methodological developments for optimal model-based control through parametric optimization. It also shares real-world research applications to support

Partitional Clustering Via Nonsmooth Opt

📁 Partitional Clustering Via Nonsmooth Optimization: Clustering Via Optimization

✍ Adil Bagirov, Napsu Karmitsa, Sona Taheri 📂 Library 📅 2020 🏛 Springer Nature 🌐 English

<p>This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering proble

Partitional clustering via nonsmooth opt

📁 Partitional clustering via nonsmooth optimization

✍ Bagirov A.M., Karmitsa N., Taheri S 📂 Library 📅 2020 🏛 Springer 🌐 English

Multi-level Mixed-Integer Optimization:

📁 Multi-level Mixed-Integer Optimization: Parametric Programming Approach

✍ Styliani Avraamidou; Efstratios Pistikopoulos 📂 Library 📅 2022 🏛 De Gruyter 🌐 English

<p>This book provides the fundamental underlying mathematical theory, numerical algorithms and effi cient computational tools for the solution of multi-level mixedinteger optimization problems. It can enable a vast array of decision makers and engineers (e.g. process engineers, bioengineers, chemica

Multi-level Mixed-Integer Optimization:

📁 Multi-level Mixed-Integer Optimization: Parametric Programming Approach

✍ Styliani Avraamidou; Efstratios Pistikopoulos 📂 Library 📅 2022 🏛 De Gruyter 🌐 English

<p>This book provides the fundamental underlying mathematical theory, numerical algorithms and effi cient computational tools for the solution of multi-level mixedinteger optimization problems. It can enable a vast array of decision makers and engineers (e.g. process engineers, bioengineers, chemica