Scheduled teaching activities. Workload requirements. Des tiers approuvés ont également recours à ces outils dans le cadre de notre affichage d’annonces.Un problème s'est produit lors du chargement de ce menu pour le moment.Désolé, un problème s'est produit lors de l'enregistrement de vos préférences en matière de cookies.
Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. Impossible d'ajouter l'article à votre liste.
Their explanations are at the perfect level for anyone with little background in mathematical proofs, making it ideal as a textbook or as supplementary reading. Source; arXiv; Authors: Jean Gallier .
Sélectionnez cette adresse lors de votre commande
Offerings. One needs to be fluent in it to work in many fields including data science, machine learning, and software engineering (it is not a coincidence that math puzzles are often used for interviews). Noté /5. Il analyse également les commentaires pour vérifier leur fiabilité.
• Examples of objectswith discrete values are – integers, graphs, or statements in logic. "—Saad Mneimneh, Hunter College, City University of New YorkPrinceton University Press offers an instructor’s manual (PDF format) to qualified faculty who have adopted this book in a current course. This textbook covers the discrete mathematics that every computer science student needs to learn. This course will roughly cover the following topics and speci c applications in computer science. Teaching approach. Our ebooks editions are available from these online vendors:Many of our ebooks are available through library electronic resources including these platforms:Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. Sélectionnez la section dans laquelle vous souhaitez faire votre recherche. Guiding students quickly through thirty-one short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses.
The father-and-daughter team merges two different views to create a unified book for students interested in learning discrete mathematics, the connections between discrete mathematics and computer science, and the mathematical foundations of computer science.Readers will learn how to formally define abstract concepts, reason about objects (such as programs, graphs and numbers), investigate properties of algorithms, and prove their correctness. Overview . Overview. The synergy between the two complementary perspectives is seen throughout the book; key concepts are motivated and explained through real-world examples, and yet are still formalized with mathematical rigor.
The second author is a computer science PhD student at the University of Washington specializing in database systems. Retrouvez Lectures on Discrete Mathematics for Computer Science et des millions de livres en stock sur Amazon.fr.
Introduction to Discrete Mathematics for Computer Science.
The textbook studies several well-known algorithmic problems including the path problem for graphs and finding the greatest common divisor, inductive definitions, proofs of correctness of algorithms via loop invariants and induction, the basics of formal methods such as propositional logic, finite state machines, counting, probability, as well as the foundations of databases such as relational calculus.Pour calculer l'évaluation globale en nombre d'étoiles et la répartition en pourcentage par étoile, nous n'utilisons pas une moyenne simple.
This textbook presents fundamental topics in discrete mathematics introduced from the perspectives of a pure mathematician and an applied computer scientist. • Discrete mathematics and computer science. ""Carefully constructed and elegantly written, this book delivers exactly what its title promises—an introductory treatment of all the essentials of discrete mathematics that a computer scientist needs to know. Availability in areas of study.