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Derniers résumés de Discrete Mathematics with Applications

CHAPTER 5: SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION CHAPTER 5: SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION

  • CHAPTER 5: SEQUENCES, MATHEMATICAL INDUCTION, AND RECURSION

  • Réponses • 155 pages • 2020
  • Disponible en pack
    • This document is containing selected question of chapter 5 for all the young IT aspirants who want to keep learning new things and new questions. I hope this document can help you in verifying your solutions and learning new things. Please feel free to post any new solutions or any doubts.This blog will be updated as new and good solutions are posted by you geeks.
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Lecture 02 - Relation Lecture 02 - Relation

  • Lecture 02 - Relation

  • Notes de cours • 43 pages • 2018
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    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 05 - Predicate Logic Lecture 05 - Predicate Logic

  • Lecture 05 - Predicate Logic

  • Notes de cours • 34 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 17 - Discrete Distribution Lecture 17 - Discrete Distribution

  • Lecture 17 - Discrete Distribution

  • Notes de cours • 29 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 15 - Intro to Probability Lecture 15 - Intro to Probability

  • Lecture 15 - Intro to Probability

  • Notes de cours • 29 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 06 - Formal Reasoning Lecture 06 - Formal Reasoning

  • Lecture 06 - Formal Reasoning

  • Notes de cours • 45 pages • 2018
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    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 16 - Random Variable Lecture 16 - Random Variable

  • Lecture 16 - Random Variable

  • Notes de cours • 26 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 11 - Trail, Path and Circuit Lecture 11 - Trail, Path and Circuit

  • Lecture 11 - Trail, Path and Circuit

  • Notes de cours • 23 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 13 - Finite State Automata Lecture 13 - Finite State Automata

  • Lecture 13 - Finite State Automata

  • Notes de cours • 17 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 10 - Intro to Graph Lecture 10 - Intro to Graph

  • Lecture 10 - Intro to Graph

  • Notes de cours • 17 pages • 2018
  • Disponible en pack
    • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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  • €7,14
  • + en savoir plus