000			04004cam a2200517Ki 4500
001			on1085182255
003			OCoLC
005			20241121072732.0
006			m d
007			cr |n|---|||||
008			190209s2019 xx o 000 0 eng d
040			_aEBLCP _beng _epn _cEBLCP _dYDX _dOCLCQ _dLVT _dOCLCF _dOCLCQ _dN$T _dOCLCQ _dUKAHL _dYDXIT
019			_a1084501451 _a1084676878 _a1117870164
020			_a177361617X
020			_a9781773616179 _q(electronic bk.)
035			_a2013910 _b(N$T)
035			_a(OCoLC)1085182255 _z(OCoLC)1084501451 _z(OCoLC)1084676878 _z(OCoLC)1117870164
050		4	_aQA76.9.A43 _b.F545 2019
082	0	4	_a005.1 _223
049			_aMAIN
100	1		_aFlejoles, Rex Porbasas. _910885
245	1	0	_aIntroduction To Algorithms.
264		1	_aAshland : _bArcler Press, _c2019.
300			_a1 online resource (252 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
588	0		_aPrint version record.
505	0		_aCover; 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
505	8		_a2.4. 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
505	8		_a5.3. 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
505	8		_aChapter 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
590			_aMaster record variable field(s) change: 050, 082
650		0	_aComputer algorithms. _93335
650		0	_aComputer programming. _91521
650		7	_aComputer algorithms. _2fast _0(OCoLC)fst00872010 _93335
650		7	_aComputer programming. _2fast _0(OCoLC)fst00872390 _91521
655		4	_aElectronic books. _93907
776	0	8	_iPrint version: _aFlejoles, Rex Porbasas. _tIntroduction To Algorithms. _dAshland : Arcler Press, �2019
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2013910
938			_aAskews and Holts Library Services _bASKH _nBDZ0044473269
938			_aProQuest Ebook Central _bEBLB _nEBL5655516
938			_aEBSCOhost _bEBSC _n2013910
938			_aYBP Library Services _bYANK _n16023340
994			_a92 _bN$T
999			_c6994 _d6994