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Higher Order Boundary Value Problems on Unbounded Domains : Types of Solutions, Functional Problems and Applications
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Springer
Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces : From Theoretical Framework to Applications
Product Code:
9789811019791
ISBN13:
9789811019791
Condition:
New
$117.02
This book introduces a new paradigm called ?ptimization in Changeable Spaces?(OCS) as a useful tool for decision making and problem solving. It illustrates how OCS incorporates, searches, and constructively restructures the parameters, tangible and intangible, involved in the process of decision making. The book elaborates on OCS problems that can be modeled and solved effectively by using the concepts of competence set analysis, Habitual Domain (HD) and the mental operators called the 7-8-9 principles of deep knowledge of HD. In addition, new concepts of covering and discovering processes are proposed and formulated as mathematical tools to solve OCS problems. The book also includes reformulations of a number of illustrative real-life challenging problems that cannot be solved by traditional optimization techniques into OCS problems, and details how they can be addressed. Beyond that, it also includes perspectives related to innovation dynamics, management, artificial intelligence, artificial and e-economics, scientific discovery and knowledge extraction. This book will be of interest to managers of businesses and institutions, policy makers, and educators and students of decision making and behavior in DBA and/or MBA.
| Author: Moussa Larbani, Po-Lung Yu |
| Publisher: Springer |
| Publication Date: Sep 06, 2016 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 9811019797 |
| ISBN-13: 9789811019791 |
Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces : From Theoretical Framework to Applications
$117.02
This book introduces a new paradigm called ?ptimization in Changeable Spaces?(OCS) as a useful tool for decision making and problem solving. It illustrates how OCS incorporates, searches, and constructively restructures the parameters, tangible and intangible, involved in the process of decision making. The book elaborates on OCS problems that can be modeled and solved effectively by using the concepts of competence set analysis, Habitual Domain (HD) and the mental operators called the 7-8-9 principles of deep knowledge of HD. In addition, new concepts of covering and discovering processes are proposed and formulated as mathematical tools to solve OCS problems. The book also includes reformulations of a number of illustrative real-life challenging problems that cannot be solved by traditional optimization techniques into OCS problems, and details how they can be addressed. Beyond that, it also includes perspectives related to innovation dynamics, management, artificial intelligence, artificial and e-economics, scientific discovery and knowledge extraction. This book will be of interest to managers of businesses and institutions, policy makers, and educators and students of decision making and behavior in DBA and/or MBA.
| Author: Moussa Larbani, Po-Lung Yu |
| Publisher: Springer |
| Publication Date: Sep 06, 2016 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 9811019797 |
| ISBN-13: 9789811019791 |
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