Methods in algorithmic analysis

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1. Verfasser: Dobrushkin, Vladimir A. (VerfasserIn)
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Veröffentlicht: Boca Raton, Fla. [u.a.] CRC Press/Taylor & Francis 2010
Schriftenreihe:Chapman & Hall/CRC computer and information science series
A Chapman & Hall book
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adam_text METHODS IN ALGORITHMIC ANALYSIS VLADIMIR A. DOBRUSHKIN BROWN UNIVERSITY PROVIDENCE, RHODE ISLAND, U.S.A. (G) CRC PRESS TAYLOR & FRANCIS CROUP BOCA RATON LONDON NEW YORK CRC PRESS IS AN IMPRINT OF THE TAYLOR & FRANCIS GROUP, AN INFORMA BUSINESS A CHAPMAN & HALL BOOK CONTENTS PREFACE XIII LIST OF SYMBOLS XVII ABBREVIATIONS XIX 1 PRELIMINARIES 1 1.1 WHY DO WE ANALYZE ALGORITHMS? 2 1.1.1 COST OF ALGORITHMS 2 1.1.2 ONE PROBLEM - SEVERAL SOLUTIONS 3 1.1.3 MATRIX MULTIPLICATION 8 1.2 PROOFS 10 1.2.1 PROOF BY COUNTING 12 1.2.2 INDUCTION 14 1.3 ITERATION AND RECURSION 22 2 COMBINATORICS 25 2.1 PROPERTIES OF SUMMATION 26 2.1.1 INDEX TRANSFORMATIONS 28 2.2 MULTIPLE SUMS 34 2.2.1 CHANGING ORDER OF SUMMATION 34 2.2.2 SUMMATIONS AND FINITE DIFFERENCES 36 2.2.3 SUMMATION BY PARTS 40 2.3 PRINCIPLES OF COUNTING 42 2.4 PERMUTATIONS AND COMBINATIONS 44 2.4.1 COMBINATIONS AND LATTICE PATHS 48 2.5 BINOMIAL COEFFICIENTS 56 2.5.1 DEFINITIONS AND PROPERTIES 56 2.5.2 TRANSFORMATIONS AND BASIC SUMS 58 2.5.3 INVERSE RELATIONS 64 2.5.4 VANDERMONDE CONVOLUTION 66 2.6 BINOMIAL COEFFICIENTS AND HYPERGEOMETRIC FUNCTIONS 72 2.6.1 ABEL S IDENTITY 75 2.7 STIRLING APPROXIMATION 77 3 PROBABILITY 79 3.1 SET OPERATIONS 80 3.2 SAMPLE SPACE AND RANDOM VARIABLES 82 3.3 CALCULATING PROBABILITIES 86 3.4 RANDOM VARIABLES 94 3.4.1 PROBABILITY MASS FUNCTION 94 3.4.2 EXPECTED VALUES 99 3.4.3 VARIANCE AND MOMENTS 112 3.4.4 FUNCTIONS OF RANDOM VARIABLES 119 3.5 CONDITIONAL PROBABILITIES 119 3.6 INDEPENDENCE 123 3.7 JOINT DISTRIBUTIONS 127 3.8 DEPENDENT RANDOM VARIABLES 130 4 MORE ABOUT PROBABILITY 135 4.1 SPECIAL DISTRIBUTIONS 135 4.1.1 BERNOULLI VARIABLES AND THE BINOMIAL DISTRIBUTION 136 4.1.2 THE MULTINOMIAL DISTRIBUTION 140 4.1.3 THE GEOMETRIC DISTRIBUTION 141 4.1.4 THE NEGATIVE-BINOMIAL DISTRIBUTION 148 4.1.5 THE HYPERGEOMETRIC DISTRIBUTION 151 4.1.6 THE POISSON DISTRIBUTION 154 4.1.7 THE NORMAL DISTRIBUTION 157 4.2 TYPES OF PROBABILISTIC CONVERGENCE 158 4.3 THE THEOREM OF TOTAL PROBABILITY 162 4.4 BAYES THEOREM 170 4.5 CONVOLUTION 174 4.6 ORDER STATISTICS 183 4.7 CHEBYSHEV INEQUALITIES 188 4.8 SUNDRY EXAMPLES 192 5 RECURRENCES OR DIFFERENCE EQUATIONS 199 5.1 HOW DO DIFFERENCE EQUATIONS ARISE? 200 5.2 PROPERTIES OF DIFFERENCE EQUATIONS 208 5.3 FIRST ORDER LINEAR DIFFERENCE EQUATIONS 215 5.4 RECURRENCES WITH INTEGER FUNCTIONS 221 5.4.1 DIVIDE-AND-CONQUER RECURRENCES 221 5.4.2 BINARY SEARCH RECURRENCE 224 5.4.3 MERGESORT RECURRENCE 227 5.5 QUICKSORT RECURRENCE 229 5.5.1 SOME FULL-HISTORY RECURRENCES 233 5.6 RECURRENCES IN NUMERICAL ANALYSIS 236 5.7 CONTINUED FRACTIONS 242 5.8 PARTIAL DIFFERENCE EQUATIONS 251 5.8.1 THE RELATIONS WITH CONTINUOUS CALCULATIONS 254 5.8.2 COUNTING ARRANGEMENTS*WITH AND WITHOUT REPETITION 256 5.8.3 STIRLING NUMBERS 261 5.9 SOME APPLICATIONS 263 5.9.1 BOUNDS FROM RECURRENCES 263 5.9.2 RECURRENCES AND FINITE DIFFERENCES 266 6 INTRODUCTION TO GENERATING FUNCTIONS 271 6.1 GENERATING FUNCTIONS * DEFINITIONS 272 6.1.1 ORDINARY GENERATING FUNCTIONS 272 6.1.2 EXPONENTIAL GENERATING FUNCTIONS 277 6.1.3 SOME GENERALIZATIONS 280 6.1.4 MULTIVARIATE GENERATING FUNCTIONS 283 6.1.5 MULTISECTION OF SERIES 285 6.2 EXTRACTION OF COEFFICIENTS 287 6.2.1 TRANSFORMATIONS BETWEEN THE GENERATING FUNCTIONS 293 6.2.2 MULTIVARIATE GENERATING FUNCTIONS 294 6.2.3 RECURRENCES FROM GENERATING FUNCTIONS 296 6.3 COUNTING BINARY TREES 299 6.4 SOLVING RECURRENCES 305 6.4.1 ORDINARY RECURRENCE RELATIONS 305 6.4.2 VECTOR RECURRENCE RELATIONS 315 6.4.3 PARTIAL DIFFERENCE EQUATIONS 319 6.4.4 WALKS ON THE INTEGER GRID 323 6.5 SNAKE OIL SUMMATION 327 6.6 APPLICATIONS IN PROBABILITY 331 6.6.1 DEFINITION OF GENERATING FUNCTIONS USED IN PROBABILITY 331 6.6.2 EXAMPLES AND PROBLEMS 335 6.6.3 CONVOLUTION 337 6.6.4 QUICKSORT AND BINARY SEARCH ANALYSIS 340 6.7 THE LAGRANGE INVERSION THEOREM 347 7 ENUMERATION WITH GENERATING FUNCTIONS 355 7.1 DEFINITION OF ENUMERATORS 355 7.2 SUM AND PRODUCT RULES 359 7.2.1 THE SUM RULE 359 7.2.2 THE PRODUCT RULE 360 7.3 COUNTING COMPOSITIONS OF INTEGERS 364 7.3.1 HOMOGENEOUS COMPOSITIONS 364 7.3.2 INHOMOGENEOUS COMPOSITIONS 367 7.3.3 COMPOSITIONS WITH RESTRICTIONS 369 7.3.4 HETEROGENEOUS COMPONENTS 372 7.3.5 LIMITED SELECTION 375 7.4 FURTHER SET OPERATIONS 381 7.4.1 SUBSTITUTION 383 7.4.2 MARKING 388 7.4.3 POWER SET 390 7.4.4 MULTISET OPERATION 391 7.5 PARTITIONS OF INTEGERS 392 7.6 EXPONENTIAL ENUMERATORS 403 7.6.1 THE SUM AND PRODUCT OF LABELED STRUCTURES 404 7.6.2 PERMUTATIONS AND CYCLES 408 7.6.3 SHUFFLE PRODUCT 413 7.6.4 THE BIRTHDAY PROBLEMS 416 8 FURTHER ENUMERATION METHODS 423 8.1 ENUMERATION OF TREES 423 8.1.1 UNLABELED TREES 424 8.1.2 LABELED TREES 429 8.1.3 COUNTING ALTERNATING PERMUTATIONS 430 8.2 OCCUPANCY ENUMERATION 434 8.2.1 DISTRIBUTION OF IDENTICAL BALLS INTO DISTINGUISHABLE BINS 435 8.2.2 DISTRIBUTION OF DISTINCT OBJECTS INTO ORDERED CELLS 439 8.2.3 DISTRIBUTION OF IDENTICAL OBJECTS INTO IDENTICAL CELLS 445 8.2.4 DISTRIBUTION OF DISTINCT OBJECTS INTO IDENTICAL CELLS 445 8.3 THE PRINCIPLE OF INCLUSION AND EXCLUSION (PIE) 446 8.3.1 THE PIE FOR HOMOGENEOUS PROPERTIES 455 8.4 EXTENSIONS AND FURTHER APPLICATIONS OF THE PIE 460 8.4.1 THE PIE VIA THE SYMBOLIC METHOD 464 8.5 PROBABILISTIC INCLUSION - EXCLUSION PRINCIPLE 468 8.6 RUNS IN PERMUTATIONS 479 8.6.1 COUNTING PERMUTATIONS OF [1.. N] WITH * ASCENTS 480 8.6.2 COUNTING PERMUTATIONS OF [L..N] WITH RUNS OF ASCENTS OF LENGTH R . . 482 8.6.3 COUNTING PERMUTATIONS OF [L..N] WITH M MAXIMAL RUNS OF ASCENTS . . 483 8.7 SPECIAL TOPICS 483 9 COMBINATORICS OF STRINGS 489 9. 1 OPERATIONS ON LANGUAGES 490 9.2 REGULAR LANGUAGES 494 9.2.1 DEFINITIONS 495 9.2.2 FINITE STATE AUTOMATA 497 9.2.3 FINITE STATE AUTOMATA AND REGULAR LANGUAGES 499 9.3 COUNTING REGULAR LANGUAGES 503 9.3.1 WORD EQUATIONS 503 9.3.2 COUNTING REGULAR LANGUAGES 505 9.3.3 ADMISSIBILITY CONSIDERATIONS 514 9.4 WAITING TIME PROBABILISTIC PROBLEMS 517 9.5 ALGORITHMS AND MARKOV CHAINS 527 10 INTRODUCTION TO ASYMPTOTICS 545 10.1 ASYMPTOTIC NOTATIONS AND APPLICATIONS 546 10.1.1 PROPERTIES OF THE BIG OH NOTATION 547 10.1.2 ASYMPTOTIC EXPANSIONS 550 10.1.3 LIMITS FOR INDETERMINATE FORMS 559 10.2 THE CRITICAL RANGE METHOD 563 10.3 RICE S METHOD 569 10.4 THE EULER SUMMATION FORMULA 579 10.4.1 ALTERNATING SERIES 589 10.5 FINDING PRIMES 591 10.6 ASYMPTOTICS FROM RECURRENCES 598 10.6.1 DIVIDE-AND-CONQUER ASYMPTOTICS 598 10.6.2 DIRECT ASYMPTOTICS 604 10.7 LIMIT LAWS IN PROBABILITY 609 10.7.1 LAWS OF LARGE NUMBERS 610 10.7.2 THE CENTRAL LIMIT THEOREM 616 10.7.3 RANDOM WALKS 623 11 ASYMPTOTICS AND GENERATING FUNCTIONS 629 11.1 ELEMENTARY BOUNDS FROM GENERATING FUNCTIONS 629 11.1.1 THE LAGRANGE INVERSION FORMULA 632 11.2 ESTIMATES FROM SINGULARITIES 634 11.2.1 POLES 634 11.2.2 DIFFERENCE EQUATIONS: ASYMPTOTICS FROM GFS 641 11.2.3 REMOVAL OF SINGULARITIES 644 11.2.4 DARBOUX THEOREM AND ITS RELATION TO THE BINOMIAL THEOREM 646 11.2.5 LOGARITHMIC SINGULARITIES 648 11.3 ESTIMATES FROM ENTIRE FUNCTIONS 649 11.3.1 INTEGRATION BY PARTS 649 11.3.2 ASYMPTOTICS OF HYPERGEOMETRIC SERIES 653 11.3.3 THE LAPLACE METHOD 656 11.4 EXAMPLES AND EXERCISES 658 12 REVIEW OF ANALYTIC TECHNIQUES 661 12.1 COMPLEX NUMBERS 661 12.2 REVIEW OF POWER SERIES 667 12.2.1 THE TAYLOR SERIES 667 12.2.2 OPERATIONS ON POWER SERIES 673 12.3 FUNCTIONS OF A COMPLEX VARIABLE: BASIC CONCEPTS 677 12.3.1 DIAGONALIZATION OF SERIES 683 12.4 DIFFERENTIAL OPERATORS 686 12.5 PARTIAL FRACTION DECOMPOSITION 692 12.6 SOME SPECIAL FUNCTIONS 694 12.7 STIELTJES INTEGRALS 696 APPENDICES 699 APPENDIX A: BINOMIAL COEFFICIENTS 699 APPENDIX *: THE BERNOULLI NUMBERS 706 APPENDIX C: STIRLING AND EULER/EULERIAN NUMBERS 708 APPENDIX D: FIBONACCI NUMBERS 715 APPENDIX E: HARMONIC NUMBERS 719 APPENDIX F: MISCELLANEOUS FORMULAS 721 APPENDIX G: THE GAMMA FUNCTION 725 APPENDIX H: RANDOM VARIABLES AND DISTRIBUTIONS 728 APPENDIX I: COMBINATORICS OF PERMUTATIONS 730 APPENDIX J: CONTINUED FRACTIONS 732 APPENDIX K: OCCUPANCY ENUMERATION 738 APPENDIX L: GENERATING FUNCTIONS 740 APPENDIX M: RECURRENCES 749 ANSWERS/HINTS TO SELECTED PROBLEMS 753 BIBLIOGRAPHY 772 INDEX 783
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A Chapman & Hall book
spellingShingle Dobrushkin, Vladimir A.
Methods in algorithmic analysis
Computer science / Mathematics
Computer algorithms
Algorithms
Informatik
Mathematik
Algorithmus (DE-588)4001183-5 gnd
Numerische Mathematik (DE-588)4042805-9 gnd
Numerisches Verfahren (DE-588)4128130-5 gnd
subject_GND (DE-588)4001183-5
(DE-588)4042805-9
(DE-588)4128130-5
(DE-588)4123623-3
title Methods in algorithmic analysis
title_auth Methods in algorithmic analysis
title_exact_search Methods in algorithmic analysis
title_full Methods in algorithmic analysis Vladimir A. Dobrushkin
title_fullStr Methods in algorithmic analysis Vladimir A. Dobrushkin
title_full_unstemmed Methods in algorithmic analysis Vladimir A. Dobrushkin
title_short Methods in algorithmic analysis
title_sort methods in algorithmic analysis
topic Computer science / Mathematics
Computer algorithms
Algorithms
Informatik
Mathematik
Algorithmus (DE-588)4001183-5 gnd
Numerische Mathematik (DE-588)4042805-9 gnd
Numerisches Verfahren (DE-588)4128130-5 gnd
topic_facet Computer science / Mathematics
Computer algorithms
Algorithms
Informatik
Mathematik
Algorithmus
Numerische Mathematik
Numerisches Verfahren
Lehrbuch
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