A Dynamic Dictionary for Priced Information with Application 1st edition by Anil Maheshwari, Michiel Smid – Ebook PDF Instant Download/Delivery. 3540206958, 978-3540206958
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ISBN 10: 3540206958
ISBN 13: 978-3540206958
Author: Anil Maheshwari, Michiel Smid
In this paper we design a dynamic dictionary for the priced information model initiated by [2,3]. Assume that a set S consisting of n elements is given such that each element has an associated price, a positive real number. The cost of performing an operation on elements of S is a function of their prices. The cost of an algorithm is the sum of the costs of all operations it performs. The objective is to design algorithms which incur low cost. In this model, we propose a dynamic dictionary, supporting insert, delete, and search for keys drawn from a linearly ordered set. As an application we show that the dictionary can be used in computing the trapezoidal map of a set of line segments.
A Dynamic Dictionary for Priced Information with Application 1st Table of contents:
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Introduction
- 1.1 Overview of Dynamic Dictionaries
- 1.2 Priced Information: Definition and Importance
- 1.3 Motivation for a Dynamic Dictionary for Priced Information
- 1.4 Objectives and Scope of the Paper
- 1.5 Structure of the Paper
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Background and Related Work
- 2.1 Overview of Dictionary Data Structures
- 2.2 Price Management in Information Systems
- 2.3 Traditional Methods of Pricing Information
- 2.4 Dynamic Pricing and Information Update Mechanisms
- 2.5 Existing Applications of Priced Information Management
- 2.6 Related Work on Dynamic Dictionaries and Their Applications
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Dynamic Dictionary Design
- 3.1 Definition and Properties of the Dynamic Dictionary
- 3.2 Dictionary Operations: Insertion, Deletion, and Updates
- 3.3 Handling of Priced Information in the Dictionary
- 3.4 Dynamic Updates and Pricing Adjustments
- 3.5 Data Structures for Efficient Dynamic Dictionary Management
- 3.6 Trade-offs between Time Complexity and Space Efficiency
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Pricing Model for Information
- 4.1 Approaches to Pricing Information
- 4.2 Dynamic Pricing Models: Supply and Demand, Market-Based Pricing
- 4.3 Algorithms for Price Updates Based on Market Changes
- 4.4 The Role of Time in Pricing Information
- 4.5 Pricing Strategies and Their Impact on Dictionary Management
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Applications of the Dynamic Dictionary for Priced Information
- 5.1 E-Commerce and Online Marketplaces
- 5.2 Real-Time Data Markets and Information Trading
- 5.3 Financial Systems and Dynamic Pricing of Assets
- 5.4 Supply Chain and Inventory Management
- 5.5 Customizable Information Services in the Cloud
- 5.6 Case Study: Implementing the Dynamic Dictionary in a Real-World Application
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Performance Evaluation
- 6.1 Evaluation Metrics for Dynamic Dictionary Efficiency
- 6.2 Simulation Setup and Methodology
- 6.3 Comparative Analysis: Static vs. Dynamic Dictionaries for Priced Information
- 6.4 Scalability of the Dynamic Dictionary in Large-Scale Applications
- 6.5 Impact of Different Pricing Models on System Performance
- 6.6 Results and Insights from Experiments
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Challenges and Limitations
- 7.1 Handling High Volumes of Information and Price Updates
- 7.2 Consistency and Accuracy in Price Adjustments
- 7.3 Real-Time vs Batch Processing in Dynamic Pricing
- 7.4 Security and Privacy Concerns in Priced Information Management
- 7.5 Managing Conflicting Pricing Models or Information Sources
- 7.6 Limitations of Current Dynamic Dictionary Implementations
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Future Directions and Research
- 8.1 Advanced Pricing Models and Machine Learning for Dynamic Adjustment
- 8.2 Integration of Dynamic Dictionary with Blockchain for Transparency and Trust
- 8.3 Applications in the Internet of Things (IoT) and Smart Devices
- 8.4 Automated Decision-Making and Intelligent Pricing Systems
- 8.5 Future Work on Optimizing Dynamic Dictionaries for Large-Scale Environments
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Conclusion
- 9.1 Summary of Key Findings and Contributions
- 9.2 Impact of Dynamic Dictionaries in Managing Priced Information
- 9.3 Future Prospects and Open Problems
- 9.4 Final Remarks
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