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ISBN 10: 1009309072 ISBN 13: 9781009309073
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ISBN 10: 1009309072 ISBN 13: 9781009309073
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Buch. Zustand: Neu. Neuware -Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a 'question and answer' style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 550 pp. Englisch.
Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1009309072 ISBN 13: 9781009309073
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ISBN 10: 1009309072 ISBN 13: 9781009309073
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Buch. Zustand: Neu. Introduction to Probability for Computing | Mor Harchol-Balter | Buch | Englisch | 2023 | Cambridge University Pr. | EAN 9781009309073 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Cambridge University Pr. Sep 2023, 2023
ISBN 10: 1009309072 ISBN 13: 9781009309073
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a 'question and answer' style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.