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Modeling and Simulation in Python
Taschenbuch von Jason M. Kinser
Sprache: Englisch

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Beschreibung
Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, and virus spread.
Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, and virus spread.
Über den Autor

Jason M. Kinser is Chair of the Department of Computational and Data Sciences at George Mason University. Dr. Kinser has taught more than 30 different courses at Mason in several departments including Computational & Data Sciences, Physics, Bioinformatics, Forensics, and even Biology. His research interests include analysis of images, fusion of image content non-image data, and education.

Inhaltsverzeichnis

Preface

Software

1. Introduction

2. Random Values

3. Application of Random Values

4. The Monte Carlo Method

5. Modeling Self-Organization

6. Hidden Markov Models

7. Identification of Start Codons

8. HMM Application in Baseball

9. Hidden Shakespeare Model

10. Connected Data

11. Gene Expression Arrays

12. Simultaneous Equations

13. Simulations of Motion

14. Oscillations

15. Coupled Differential Equations

16. Extraordinary Number of Solutions

17. Agent Based Modeling - Virus Spread

18. Chess

Bibliography

Index

Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032128702
ISBN-10: 1032128704
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kinser, Jason M.
Hersteller: Chapman and Hall/CRC
Maße: 254 x 178 x 18 mm
Von/Mit: Jason M. Kinser
Erscheinungsdatum: 27.05.2024
Gewicht: 0,63 kg
Artikel-ID: 128871489
Über den Autor

Jason M. Kinser is Chair of the Department of Computational and Data Sciences at George Mason University. Dr. Kinser has taught more than 30 different courses at Mason in several departments including Computational & Data Sciences, Physics, Bioinformatics, Forensics, and even Biology. His research interests include analysis of images, fusion of image content non-image data, and education.

Inhaltsverzeichnis

Preface

Software

1. Introduction

2. Random Values

3. Application of Random Values

4. The Monte Carlo Method

5. Modeling Self-Organization

6. Hidden Markov Models

7. Identification of Start Codons

8. HMM Application in Baseball

9. Hidden Shakespeare Model

10. Connected Data

11. Gene Expression Arrays

12. Simultaneous Equations

13. Simulations of Motion

14. Oscillations

15. Coupled Differential Equations

16. Extraordinary Number of Solutions

17. Agent Based Modeling - Virus Spread

18. Chess

Bibliography

Index

Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032128702
ISBN-10: 1032128704
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kinser, Jason M.
Hersteller: Chapman and Hall/CRC
Maße: 254 x 178 x 18 mm
Von/Mit: Jason M. Kinser
Erscheinungsdatum: 27.05.2024
Gewicht: 0,63 kg
Artikel-ID: 128871489
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