Brownian Motion and Stochastic Calculus: Theory and Applications with Python (Golden Dawn Engineering) - Softcover

Flux, Jamie

Softcover

ISBN 13: 9798303259393

Verlag: Independently published, 2024

Inhaltsangabe

Unlock the profound depths of Brownian Motion and Stochastic Calculus with this comprehensive and authoritative text. Designed for researchers, practitioners, and advanced students, this book provides an in-depth exploration of theoretical concepts and practical applications, seamlessly bridging the gap between abstract mathematics and real-world problem-solving.

Key Features:

• Comprehensive Coverage: Spanning 66 meticulously crafted chapters, this work delves into essential topics such as probability theory, measure theory, stochastic differential equations, martingales, and more. Each chapter focuses on a specific concept, allowing for a modular and thorough understanding of the subject matter.

• Python Implementation: Enhance your learning experience with robust Python code examples integrated throughout the text. Implement and simulate complex stochastic models, facilitating a hands-on approach to mastering the material.

• Theoretical and Applied Balance: Gain a solid foundation in stochastic calculus theory while exploring practical applications across various fields like finance, physics, biology, and machine learning. This dual focus ensures a well-rounded grasp of both the abstract and the tangible aspects of the discipline.

Why This Book?

In an era where uncertainty and complex systems are the norms, a profound understanding of stochastic processes is indispensable. This text stands as an essential resource for those aiming to:

• Advance Academic Research: Provide a solid theoretical foundation for advanced studies and contribute to scholarly work in mathematics and related fields.

• Enhance Professional Practice: Apply sophisticated stochastic models to solve real-world problems in finance, engineering, data science, and beyond.

• Develop Technical Skills: Leverage the power of Python to implement and experiment with stochastic calculus concepts, enhancing computational proficiency alongside mathematical understanding.

Elevate your mastery of stochastic calculus and unlock new horizons in both theory and application. This is more than a textbook; it's a gateway to advancing your expertise and making significant contributions to the scientific and technological communities.

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 13: 9798303259393
• Einband: Tapa blanda
• Anzahl der Seiten: 433
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar