
Partitions : Optimality and Clustering - Vol Ii.
Title:
Partitions : Optimality and Clustering - Vol Ii.
Author:
Hwang, Frank K.
ISBN:
9789814412353
Personal Author:
Physical Description:
1 online resource (302 pages)
Series:
Series on Applied Mathematics ; v.20
Series on Applied Mathematics
Contents:
Contents -- Preface -- 1. Bounded-Shape Sum-Partition Problems: Polyhedral Approach -- 1.1 Linear Objective: Solution by LP -- Testing If a Vector (say A ) is a Vertex of a given Bounded- Shape Partition Polytope -- Solution of Bounded-Shape Partition Problems with Linear Objective Function -- 1.2 Enumerating Vertices of the Partition Polytopes and Corresponding Partitions Using Edge-Directions -- Enumerating Vertices of Bounded-Shape Partition Polytopes along with Corresponding Partitions Using Edge-Directions -- Single-Size Problems -- Enumerating the Facets of a Constrained-Shape Partition Polytope Using Generic Partitions (along with Supporting Hyperplanes) -- 1.3 Representation, Characterization and Enumeration of Vertices of Partition Polytopes: Distinct Partitioned Vectors -- Testing if a Vector A is a Vertex of the Bounded-Shape Partition Polytope When the Columns of A are Nonzero and Distinct -- Testing if a Vector A is a Vertex of the Bounded-Shape Partition Polytope When the Columns of A are Distinct, but Contain the Zero Vector -- Mean-Partition Problems -- 1.4 Representation, Characterization and Enumeration of Vertices of Partition Polytopes: General Case -- Testing if a Vector A is a Vertex of the Bounded-Shape Partition Polytope -- Appendix A -- 2. Constrained-Shape and Single-Size Sum-Partition Problems: Polynomial Approach -- 2.1 Constrained-Shape Partition Polytopes and (Almost-) Separable Partitions -- Testing for a Point of a Finite Set to be a Vertex of the Convex Hull of that Set -- Testing for (Almost) Separability of Partitions -- Enumerating the Vertices of Constrained-Shape and Bounded-Shape Partition Polytopes with Underlying Matrix A -- Generating the Vertices of Bounded-Shape and Constrained- Shape Partition Polytopes -- 2.2 Enumerating Separable and Limit-Separable Partitions of Constrained-Shape.
Enumerating all Separable 2-Partitions when A is Generic -- Enumerating all Separable p-Partitions when A is Generic -- Computing Generic Signs -- Enumerating all A-Limit-Separable Partitions -- Enumerating all A-Separable Partitions -- Solving Constrained-Shape Partition Problems with f(·) (Edge-)Quasi-Convex by Enumerating Limit-Separable Partitions -- Enumerating the Vertices of Constrained-Shape Partition Polytopes Using Limit-Separable Partitions -- Enumerating all Almost-Separable 2-Partitions -- Enumerating all Almost-Separable p-Partitions -- 2.3 Single-Size Partition Polytopes and Cone-Separable Partitions -- Testing for Cone-Separability of Finite Sets -- Testing for Cone-Separability of Partitions -- 2.4 Enumerating (Limit-)Cone-Separable Partitions -- Enumerating All Cone-Separable Partitions when [0,A] is Generic -- Enumerating All Cone-Separable Partitions when d 2 and A has no Zero Vectors -- Enumerating All A-Limit-Cone-Separable Partitions when d > 2 -- Enumerating All A-Cone-Separable Partitions when A has no Zero Vectors -- Enumerating All A-Cone-Separable Partitions when A has Zero Vectors -- Solving Single-Size Partition Problems with f(·) (Edge-) Quasi-Convex by Enumerating Limit-Cone-Separable Partitions -- Enumerating the Vertices of Single-Size Partition Polytopes Using Limit-Cone-Separable Partitions -- 3. Partitions over Multi-Parameter Spaces: Combinatorial Structure -- 3.1 Properties of Partitions -- 3.2 Counting and Enumerating Partition Classes of Single-Size -- 3.3 Consistency and Sortability of Particular Partition- Properties -- 4. Clustering Problems over Multi-parameter Spaces -- 4.1 Geometric Properties of Optimal Partitions -- 4.2 Geometric Properties of Optimal Partitions for d = 2 -- 5. Sum-Multipartition Problems over Single-Parameter Spaces -- 5.1 Multipartitions.
5.2 Single-Multishape Multipartition Polytopes -- 5.3 Constrained-Multishape Multipartition Polytopes -- 5.4 Combinatorial Properties of Multipartitions -- 5.5 Constrained-Multishape Multipartition Problems with Asymmetric Schur Convex Objective: Optimization over Multipartition Polytopes -- Solution of Single-Multishape Sum Multipartition Problems with f Asymmetric Schur Convex by Enumerating Monotone Multipartitions -- Solution of Constrained-Multishape Sum Multipartition Problems with f Asymmetric Schur Convex by Enumerating Monotone Multipartitions -- Solution of Single-Multishape Sum Multipartition Problems with f Asymmetric Schur Convex by Optimization Over the Multipartition Polytope -- 5.6 Sum Multipartition Problems: Explicit Solutions -- 6. Applications -- 6.1 Assembly of Systems -- 6.2 Group Testing -- 6.3 Circuit Card Library -- 6.4 Clustering -- 6.5 Abstraction of Finite State Machines -- 6.6 Multischeduling -- 6.7 Cache Assignment -- 6.8 The Blood Analyzer Problem -- 6.9 Joint Replenishment of Inventory -- 6.10 Statistical Hypothesis Testing -- 6.11 Nearest Neighbor Assignment -- 6.12 Graph Partitions -- 6.13 The Traveling Salesman Problem -- 6.14 Vehicle Routing -- 6.15 Division of Property -- 6.16 The Consolidation of Farmland -- Bibliography -- Index.
Abstract:
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 theoretical developments of optimal partitions, many of them derived by the authors, in an accessible place for easy reference. Much more than simply collecting the results, the book provides a general framework to unify these results and present them in an organized fashion. Many well-known practical problems of optimal partitions are dealt with. The authors show how they can be solved using the theory - or why they cannot be. These problems include: allocation of components to maximize system reliability; experiment design to identify defectives; design of circuit card library and of blood analyzer lines; abstraction of finite state machines and assignment of cache items to pages; the division of property and partition bargaining as well as touching on those well-known research areas such as scheduling, inventory, nearest neighbor assignment, the traveling salesman problem, vehicle routing, and graph partitions. The authors elucidate why the last three problems cannot be solved in the context of the theory.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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