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Kasneci, Gjergji: Searching and Ranking in Enti...
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Erscheinungsdatum: 03.11.2015, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Searching and Ranking in Entity-Relationship Graphs, Titelzusatz: From Web Pages to Knowledge, Autor: Kasneci, Gjergji, Verlag: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, Sprache: Englisch, Rubrik: Maschinenbau // Fertigungstechnik, Seiten: 152, Informationen: Paperback, Gewicht: 244 gr, Verkäufer: averdo

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Stand: 16.02.2020
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Reforgiato Recupero, Diego: ANTIPOLE TREE INDEX...
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Erscheinungsdatum: 06/2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: ANTIPOLE TREE INDEXING AND GRAPHGREPVF, Titelzusatz: DATA STRUCTURES AND ALGORITHMS FOR OPTIMIZATION AND SEARCHING PROBLEMS IN METRIC SPACES AND GRAPHS, Autor: Reforgiato Recupero, Diego, Verlag: LAP Lambert Acad. Publ., Sprache: Englisch, Rubrik: Informatik // EDV, Sonstiges, Seiten: 156, Informationen: Paperback, Gewicht: 249 gr, Verkäufer: averdo

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Searching Cliques in Graphs
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Searching Cliques in Graphs ab 93.9 € als Taschenbuch: . Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

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Stand: 16.02.2020
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Searching and Ranking in Entity-Relationship Gr...
69,99 € *
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Searching and Ranking in Entity-Relationship Graphs ab 69.99 € als Taschenbuch: From Web Pages to Knowledge. Aus dem Bereich: Bücher, Wissenschaft, Technik,

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Stand: 16.02.2020
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ANTIPOLE TREE INDEXING AND GRAPHGREPVF
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ANTIPOLE TREE INDEXING AND GRAPHGREPVF ab 59 € als Taschenbuch: DATA STRUCTURES AND ALGORITHMS FOR OPTIMIZATION AND SEARCHING PROBLEMS IN METRIC SPACES AND GRAPHS. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

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Stand: 16.02.2020
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Things I Can't Explain: A Clarissa Novel  , Hör...
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A complete reimagining of the 1990s television hit Clarissa Explains It All as 20-something Clarissa tries to navigate the unemployment line, mompreneurs, and the collision of two people in love. She was a smart, snappy, lighthearted girl who knew it all at 14 and let television audiences everywhere know it. Now a woman in her late 20s, her searching blue eyes are more serious but mostly amused by the people around her. The gap-toothed smile that made her seem younger than she really was is gone, but she still lightens up the room. Her unpredictable wardrobe rocks just like when she was a kid, but her fashion sense has evolved, and it makes men and women turn their heads. After leaving high school early, Clarissa interned at the Daily Post while attending night school. At the ripe old age of 22 she had it made - her own journalism beat (fashion, gender politics, and crime), an affordable apartment in FiDi, and a livable wage. She was so totally ahead of the game. Ah, those were the days! All three of them. Remember the stock market crash of '08? Remember when people actually bought newspapers? All of Clarissa's charming obsessions, charts, graphs, and superstitions have survived into adulthood, but they've evolved into an ever-greater need to claw the world back under control. Her mid-20s crisis has left her with a whole set of things she can't explain: an ex-boyfriend turned stalker, her parents' divorce, a micro relationship with the cute coffee guy, java addiction, "To-Flue Glue", and then there's Sam. Where's Sam anyway? Things I Can't Explain is about knowing it all in your teens and then feeling like you know nothing in your 20s. It is an entertaining and must-listen sequel for all fans of Mitchell Kriegman's Nickelodeon TV show Clarissa Explains It All. 1. Language: English. Narrator: Emily Madar. Audio sample: http://samples.audible.de/bk/adbl/025975/bk_adbl_025975_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 16.02.2020
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Algorithms
57,99 € *
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Essential Information that Every Serious Programming Student Needs to Know about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick's best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, string processing, and geometric applications, including fifty algorithms every programmer should know. See www.cs.princeton.edu/algs4/top50 . Completely Revised Code New Java implementations written in an accessible, modular programming style, where all of the code is exposed to the reader and ready to use. New versions of quicksort, LZW compression, red-black tree search, RE pattern matching, and many other algorithms. Engages with Applications Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books. Intellectually Stimulating Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels. A Scientific Approach Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models. Integrated with the Web Visit www.cs.princeton.edu/algs4 for a freely accessible, comprehensive Web site, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources. Product Description This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu . The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. Features + Benefits The #1 practical resource for everyone seeking to run programs faster or solve larger problems Surveys today's most useful algorithms, with copious illustrations and examples Contains many new examples, ranging from physics, biology, and engineering to data compression and web search Contains real (not pseudocode) implementations, with detailed performance insights A companion web site, algs4.cs.princeton.edu , with many more resources for instructors, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources Preface viii Chapter 1: Fundamentals 3 1.1 Basic Programming Model 8 1.2 Data Abstraction 64 1.3 Bags, Queues, and Stacks 120 1.4 Analysis of Algorithms 172 1.5 Case Study: Union-Find 216 Chapter 2: Sorting 243 2.1 Elementary Sorts 244 2.2 Mergesort 270 2.3 Quicksort 288 2.4 Priority Queues 308 2.5 Applications 336 Chapter 3: Searching 361 3.1 Symbol Tables 362 3.2 Binary Search Trees 396 3.3 Balanced Search Trees 424 3.4 Hash Tables 458 3.5 Applications 486 Chapter 4: Graphs 515 4.1 Undirected Graphs 518 4.2 Directed Graphs 566 4.3 Minimum Spanning Trees 604 4.4 Shortest Paths 638 Chapter 5: Strings 695 5.1 String Sorts 702 5.2 Tries 730 5.3 Substring Search 758 5.4 Regular Expressions 788 5.5 Data Compression 810 Chapter 6: Context 853 Index 933 List of Algorithms 954 List of Clients 955 This fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms is one of the most popular textbooks on algorithms today and is widely used in colleges and universities worldwide. The algorithms in this book - including 50 algorithms every programmer should know - represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering and for students who use computation in the liberal arts. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The companion web site, algs4.cs.princeton.edu, contains: An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course, offered each fall and spring, offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their state-of-the-art textbook, online content, and MOOC, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Anbieter: buecher
Stand: 16.02.2020
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Algorithms
57,99 € *
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Essential Information that Every Serious Programming Student Needs to Know about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick's best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, string processing, and geometric applications, including fifty algorithms every programmer should know. See www.cs.princeton.edu/algs4/top50 . Completely Revised Code New Java implementations written in an accessible, modular programming style, where all of the code is exposed to the reader and ready to use. New versions of quicksort, LZW compression, red-black tree search, RE pattern matching, and many other algorithms. Engages with Applications Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books. Intellectually Stimulating Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels. A Scientific Approach Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models. Integrated with the Web Visit www.cs.princeton.edu/algs4 for a freely accessible, comprehensive Web site, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources. Product Description This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu . The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. Features + Benefits The #1 practical resource for everyone seeking to run programs faster or solve larger problems Surveys today's most useful algorithms, with copious illustrations and examples Contains many new examples, ranging from physics, biology, and engineering to data compression and web search Contains real (not pseudocode) implementations, with detailed performance insights A companion web site, algs4.cs.princeton.edu , with many more resources for instructors, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources Preface viii Chapter 1: Fundamentals 3 1.1 Basic Programming Model 8 1.2 Data Abstraction 64 1.3 Bags, Queues, and Stacks 120 1.4 Analysis of Algorithms 172 1.5 Case Study: Union-Find 216 Chapter 2: Sorting 243 2.1 Elementary Sorts 244 2.2 Mergesort 270 2.3 Quicksort 288 2.4 Priority Queues 308 2.5 Applications 336 Chapter 3: Searching 361 3.1 Symbol Tables 362 3.2 Binary Search Trees 396 3.3 Balanced Search Trees 424 3.4 Hash Tables 458 3.5 Applications 486 Chapter 4: Graphs 515 4.1 Undirected Graphs 518 4.2 Directed Graphs 566 4.3 Minimum Spanning Trees 604 4.4 Shortest Paths 638 Chapter 5: Strings 695 5.1 String Sorts 702 5.2 Tries 730 5.3 Substring Search 758 5.4 Regular Expressions 788 5.5 Data Compression 810 Chapter 6: Context 853 Index 933 List of Algorithms 954 List of Clients 955 This fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms is one of the most popular textbooks on algorithms today and is widely used in colleges and universities worldwide. The algorithms in this book - including 50 algorithms every programmer should know - represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering and for students who use computation in the liberal arts. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The companion web site, algs4.cs.princeton.edu, contains: An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course, offered each fall and spring, offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their state-of-the-art textbook, online content, and MOOC, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Anbieter: buecher
Stand: 16.02.2020
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Hacker's Delight
40,99 € *
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In Hacker’s Delight, Second Edition, Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren’s hacks are eminently practical, but they’re also intrinsically interesting, and sometimes unexpected, much like the solution to a great puzzle. They are, in a word, a delight to any programmer who is excited by the opportunity to improve. Extensive additions in this edition include A new chapter on cyclic redundancy checking (CRC), including routines for the commonly used CRC-32 code A new chapter on error correcting codes (ECC), including routines for the Hamming code More coverage of integer division by constants, including methods using only shifts and adds Computing remainders without computing a quotient More coverage of population count and counting leading zeros Array population count New algorithms for compress and expand An LRU algorithm Floating-point to/from integer conversions Approximate floating-point reciprocal square root routine A gallery of graphs of discrete functions Now with exercises and answers Product Description In Hacker’s Delight, Second Edition, Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren’s hacks are eminently practical, but they’re also intrinsically interesting, and sometimes unexpected, much like the solution to a great puzzle. They are, in a word, a delight to any programmer who is excited by the opportunity to improve. Extensive additions in this edition include A new chapter on cyclic redundancy checking (CRC), including routines for the commonly used CRC-32 code A new chapter on error correcting codes (ECC), including routines for the Hamming code More coverage of integer division by constants, including methods using only shifts and adds Computing remainders without computing a quotient More coverage of population count and counting leading zeros Array population count New algorithms for compress and expand An LRU algorithm Floating-point to/from integer conversions Approximate floating-point reciprocal square root routine A gallery of graphs of discrete functions Now with exercises and answers Foreword xiii Preface xv Chapter 1: Introduction 1 1.1 Notation 1 1.2 Instruction Set and Execution Time Model 5 Chapter 2: Basics 11 2.1 Manipulating Rightmost Bits 11 2.2 Addition Combined with Logical Operations 16 2.3 Inequalities among Logical and Arithmetic Expressions 17 2.4 Absolute Value Function 18 2.5 Average of Two Integers 19 2.6 Sign Extension 19 2.7 Shift Right Signed from Unsigned 20 2.8 Sign Function 20 2.9 Three-Valued Compare Function 21 2.10 Transfer of Sign Function 22 2.11 Decoding a “Zero Means 2**n” Field 22 2.12 Comparison Predicates 23 2.13 Overflow Detection 28 2.14 Condition Code Result of Add, Subtract, and Multiply 36 2.15 Rotate Shifts 37 2.16 Double-Length Add/Subtract 38 2.17 Double-Length Shifts 39 2.18 Multibyte Add, Subtract, Absolute Value 40 2.19 Doz, Max, Min 41 2.20 Exchanging Registers 45 2.21 Alternating among Two or More Values 48 2.22 A Boolean Decomposition Formula 51 2.23 Implementing Instructions for all 16 Binary Boolean Operations 53 Chapter 3: Power-of-2 Boundaries 59 3.1 Rounding Up/Down to a Multiple of a Known Power of 2 59 3.2 Rounding Up/Down to the Next Power of 2 60 3.3 Detecting a Power-of-2 Boundary Crossing 63 Chapter 4: Arithmetic Bounds 67 4.1 Checking Bounds of Integers 67 4.2 Propagating Bounds through Add’s and Subtract’s 70 4.3 Propagating Bounds through Logical Operations 73 Chapter 5: Counting Bits 81 5.1 Counting 1-Bits 81 5.2 Parity 96 5.3 Counting Leading 0’s 99 5.4 Counting Trailing 0’s 107 Chapter 6: Searching Words 117 6.1 Find First 0-Byte 117 6.2 Find First String of 1-Bits of a Given Length 123 6.3 Find Longest String of 1-Bits 125 6.4 Find Shortest String of 1-Bits 126 Chapter 7: Rearranging Bits And Bytes 129 7.1 Reversing Bits and Bytes 129 7.2 Shuffling Bits 139 7.3 Transposing a Bit Matrix 141 7.4 Compress, or Generalized Extract 150 7.5 Expand, or Generalized Insert 156 7.6 Hardware Algorithms for Compress and Expand 157 7.7 General Permutations, Sheep and Goats Operation 161 7.8 Rearrangements and Index Transformations 165 7.9 An LRU Algorithm 166 Chapter 8: Multiplication 171 8.1 Multiword Multiplication 171 8.2 High-Order Half of 64-Bit Product 173 8.3 High-Order Product Signed from/to Unsigned 174 8.4 Multiplication by Constants 175 Chapter 9: Integer Division 181 9.1 Preliminaries 181 9.2 Multiword Division 184 9.3 Unsigned Short Division from Signed Division 189 9.4 Unsigned Long Division 192 9.5 Doubleword Division from Long Division 197 Chapter 10: Integer Division By Constants 205 10.1 Signed Division by a Known Power of 2 205 10.2 Signed Remainder from Division by a Known Power of 2 206 10.3 Signed Division and Remainder by Non-Powers of 2 207 10.4 Signed Division by Divisors ≥ 2 210 10.5 Signed Division by Divisors ≤ —2 218 10.6 Incorporation into a Compiler 220 10.7 Miscellaneous Topics 223 10.8 Unsigned Division 227 10.9 Unsigned Division by Divisors ≥ 1 230 10.10 Incorporation into a Compiler (Unsigned) 232 10.11 Miscellaneous Topics (Unsigned) 234 10.12 Applicability to Modulus and Floor Division 237 10.13 Similar Methods 237 10.14 Sample Magic Numbers 238 10.15 Simple Code in Python 240 10.16 Exact Division by Constants 240 10.17 Test for Zero Remainder after Division by a Constant 248 10.18 Methods Not Using Multiply High 251 10.19 Remainder by Summing Digits 262 10.20 Remainder by Multiplication and Shifting Right 268 10.21 Converting to Exact Division 274 10.22 A Timing Test 276 10.23 A Circuit for Dividing by 3 276 Chapter 11: Some Elementary Functions 279 11.1 Integer Square Root 279 11.2 Integer Cube Root 287 11.3 Integer Exponentiation 288 11.4 Integer Logarithm 291 Chapter 12: Unusual Bases For Number Systems 299 12.1 Base —2 299 12.2 Base —1 + i 306 12.3 Other Bases 308 12.4 What Is the Most Efficient Base? 309 Chapter 13: Gray Code 311 13.1 Gray Code 311 13.2 Incrementing a Gray-Coded Integer 313 13.3 Negabinary Gray Code 315 13.4 Brief History and Applications 315 Chapter 14: Cyclic Redundancy Check 319 14.1 Introduction 319 14.2 Theory 320 14.3 Practice 323 Chapter 15: Error-Correcting Codes 331 15.1 Introduction 331 15.2 The Hamming Code 332 15.3 Software for SEC-DED on 32 Information Bits 337 15.4 Error Correction Considered More Generally 342 Chapter 16: Hilbert's Curve 355 16.1 A Recursive Algorithm for Generating the Hilbert Curve 356 16.2 Coordinates from Distance along the Hilbert Curve 358 16.3 Distance from Coordinates on the Hilbert Curve 366 16.4 Incrementing the Coordinates on the Hilbert Curve 368 16.5 Non-Recursive Generating Algorithms 371 16.6 Other Space-Filling Curves 371 16.7 Applications 372 Chapter 17: Floating-Point 375 17.1 IEEE Format 375 17.2 Floating-Point To/From Integer Conversions 377 17.3 Comparing Floating-Point Numbers Using Integer Operations 381 17.4 An Approximate Reciprocal Square Root Routine 383 17.5 The Distribution of Leading Digits 385 17.6 Table of Miscellaneous Values 387 Chapter 18: Formulas For Primes 391 18.1 Introduction 391 18.2 Willans’s Formulas 393 18.3 Wormell’s Formula 397 18.4 Formulas for Other Difficult Functions 398 Answers To Exercises: 405 Appendix A: Arithmetic Tables For A 4-Bit Machine 453 Appendix B: Newton's Method 457 Appendix C: A Gallery Of Graphs Of Discrete Functions 459 C.1 Plots of Logical Operations on Integers 459 C.2 Plots of Addition, Subtraction, and Multiplication 461 C.3 Plots of Functions Involving Division 463 C.4 Plots of the Compress, SAG, and Rotate Left Functions 464 C.5 2D Plots of Some Unary Functions 466 Bibliography 471 Index 481In Hacker's Delight, Second Edition , Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren's hacks are eminently practical, but they're also intrinsically interesting, and sometimes unexpected, much like the solution to a great puzzle. They are, in a word, a delight to any programmer who is excited by the opportunity to improve. Extensive additions in this edition include A new chapter on cyclic redundancy checking (CRC), including routines for the commonly used CRC-32 code A new chapter on error correcting codes (ECC), including routines for the Hamming code More coverage of integer division by constants, including methods using only shifts and adds Computing remainders without computing a quotient More coverage of population count and counting leading zeros Array population count New algorithms for compress and expand An LRU algorithm Floating-point to/from integer conversions Approximate floating-point reciprocal square root routine A gallery of graphs of discrete functions Now with exercises and answers

Anbieter: buecher
Stand: 16.02.2020
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