Principles and Applications of Numerical Integration Methods
From Scientific Computation to Python Implementation
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Dive into a captivating journey through the complex world of integral calculus with this second volume, "Principles and Applications of Numerical Integration Methods", part of a two-volume series.This tome focuses on numerical integration methods and their implementation in Python. It follows the first volume which explores analytical methods in integral calculus. Together, these two volumes offer a comprehensive approach to mastering integral calculus.Designed for a broad audience, whether you're a novice or an expert, this book provides a thorough and accessible approach to mastering numeric...
Dive into a captivating journey through the complex world of integral calculus with this second volume, "Principles and Applications of Numerical Integration Methods", part of a two-volume series.This tome focuses on numerical integration methods and their implementation in Python. It follows the first volume which explores analytical methods in integral calculus. Together, these two volumes offer a comprehensive approach to mastering integral calculus.Designed for a broad audience, whether you're a novice or an expert, this book provides a thorough and accessible approach to mastering numerical methods with little to no external assistance. It delves deeply into methods such as rectangles, midpoint, trapezoids, Simpson's, Weddle's, and Gauss's, while emphasizing precision and error management. Each chapter is enriched with clear examples and practical exercises, accompanied by detailed solutions to enhance understanding.The great strength of this series lies in the rigorous validation of results obtained by analytical resolution against those obtained using numerical methods, which are further confirmed by computer-generated results.
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