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Introduction To Algorithms.

By: Material type: TextTextPublication details: Ashland : Arcler Press, (c)2019.Description: 1 online resource (252 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781773616179
Subject(s): Genre/Form: LOC classification:
  • QA76 .I587 2019
Online resources: Available additional physical forms:
Contents:
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Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE Non-fiction QA76.9.43 (Browse shelf(Opens below)) Link to resource Available on1085182255

Includes bibliographies and index.

Cover; Half Page Title; Page Title; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Fundamentals of Algorithms; 1.1. Introduction; 1.2. Different Types of Problems Solved by Algorithms; 1.3. Data Structures; 1.4. Algorithms as a Technology; 1.5. Algorithms and Other Technologies; 1.6. Getting Started With Algorithm; 1.7. Analyzing Algorithms; References; Chapter 2 Classification of Algorithms; 2.1. Introduction; 2.2. Deterministic And Randomized Algorithms; 2.3. Online vs. Offline Algorithms

2.4. Exact, Approximate, Heuristic, And Operational Algorithms2.5. Classification According To The Main Concept; References; Chapter 3 An Introduction to Heuristic Algorithms; 3.1. Introduction; 3.2. Algorithms And Complexity; 3.3. Heuristic Techniques; 3.4. Evolutionary Algorithms; 3.5. Support Vector Machines; 3.6. Current Trends; References; Chapter 4 Types of Machine Learning Algorithms; 4.1. Introduction; 4.2. Supervised Learning Approach; 4.3. Unsupervised Learning; 4.4. Algorithm Types; References; Chapter 5 Approximation Algorithms; 5.1. Introduction; 5.2. Approximation Strategies

5.3. The Greedy Method5.4. Sequential Algorithms; 5.5. Randomization; 5.6. A Tour Of Approximation Classes; 5.7. Brief Introduction To PCPs; 5.8. Promising Application Areas For Approximation and Randomized Algorithms; 5.9. Tricks Of The Trade; References; Chapter 6 Comparative Investigation Of Exact Algorithms For 2D Strip Packing Problem; 6.1. Introduction; 6.2. The Upper Bound; 6.3. Lower Bounds For 2SP; 6.4. A Greedy Heuristic For Solving The 2D Knapsack Problems; 6.5. The Branch And Price Algorithms; 6.6. The Dichotomous Algorithm; 6.7. Computational Results; References

Chapter 7 Governance of Algorithms7.1. Introduction; 7.2. Analytical Framework; 7.3. Governance Options By Risks; References; Chapter 8 Limitations of Algorithmic Governance Options; 8.1. Introduction; 8.2. Limitations of Market Solutions And Self-Help Strategies; 8.3. Limitations of Self-Regulation And Self-Organization; 8.4. Limitations of State Intervention; References; Index

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