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Cover: 9781939326454 | Math Girls 4 | Randomized Algorithms | Hiroshi Yuki (u. a.) | Buch
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Math Girls 4
Randomized Algorithms
Buch von Hiroshi Yuki (u. a.)
Sprache: Englisch

37,50 €*

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Beschreibung
This fourth entry in the highly acclaimed Math Girls series focuses on the mathematics of computer science and analysis of algorithms. Algorithms generally strive to take the shortest route to their goal, so how is it that adding a random element to how they work can improve their performance? Further, how can we apply mathematics to quantitatively compare the performance of different algorithms? Is it possible to predict the limits of how well an algorithm can perform, without coding and running it on an actual computer? New "math girl" and talented programmer Lisa will join Miruka and friends to explore these and other questions, applying what they learn to well-known algorithms such as bubble sort and quicksort. Other topics explored in this book include the Monty Hall problem, permutations and combinations, Pascal's triangle, the definition of probability, sample spaces, probability distributions, random variables, expected values, big-O notation, matrices, linear transformations, matrix diagonalization, random walks, the 3-SAT problem, and the P-versus-NP problem. Math Girls 4: Randomized Algorithms has something for anyone interested in mathematics and computer science, from advanced high school students to college students and educators.
This fourth entry in the highly acclaimed Math Girls series focuses on the mathematics of computer science and analysis of algorithms. Algorithms generally strive to take the shortest route to their goal, so how is it that adding a random element to how they work can improve their performance? Further, how can we apply mathematics to quantitatively compare the performance of different algorithms? Is it possible to predict the limits of how well an algorithm can perform, without coding and running it on an actual computer? New "math girl" and talented programmer Lisa will join Miruka and friends to explore these and other questions, applying what they learn to well-known algorithms such as bubble sort and quicksort. Other topics explored in this book include the Monty Hall problem, permutations and combinations, Pascal's triangle, the definition of probability, sample spaces, probability distributions, random variables, expected values, big-O notation, matrices, linear transformations, matrix diagonalization, random walks, the 3-SAT problem, and the P-versus-NP problem. Math Girls 4: Randomized Algorithms has something for anyone interested in mathematics and computer science, from advanced high school students to college students and educators.
Über den Autor
Best-selling author Hiroshi Yuki has written over thirty books on mathematics, programming, and cryptography in Japan. His English-translated works include the "Math Girls" and "Math Girls Talk About..." series. He lives in Tokyo.
Details
Erscheinungsjahr: 2020
Fachbereich: Allgemeines
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Reihe: Math Girls
ISBN-13: 9781939326454
ISBN-10: 1939326451
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken mit Schutzumschlag
Einband: Gebunden
Autor: Yuki, Hiroshi
Tbd
Hersteller: Bento Books, Inc.
Math Girls
Maße: 222 x 145 x 29 mm
Von/Mit: Hiroshi Yuki (u. a.)
Erscheinungsdatum: 24.03.2020
Gewicht: 0,76 kg
Artikel-ID: 118148614
Über den Autor
Best-selling author Hiroshi Yuki has written over thirty books on mathematics, programming, and cryptography in Japan. His English-translated works include the "Math Girls" and "Math Girls Talk About..." series. He lives in Tokyo.
Details
Erscheinungsjahr: 2020
Fachbereich: Allgemeines
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Reihe: Math Girls
ISBN-13: 9781939326454
ISBN-10: 1939326451
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken mit Schutzumschlag
Einband: Gebunden
Autor: Yuki, Hiroshi
Tbd
Hersteller: Bento Books, Inc.
Math Girls
Maße: 222 x 145 x 29 mm
Von/Mit: Hiroshi Yuki (u. a.)
Erscheinungsdatum: 24.03.2020
Gewicht: 0,76 kg
Artikel-ID: 118148614
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