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Graphics & Design - Mathematical Principles for Scientific Computing and Visualization

Description

Book Synopsis: This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coordinate systems, an introduction to facets (planes and triangle meshes) and an introduction to computer graphics. The scientific computing part of the book covers topics in numerical linear algebra (basics, solving linear system, eigen-problems, SVD, and PCA) and numerical calculus (basics, data fitting, dynamic processes, root finding, and multivariate functions). The visualization component of the book is separated into three parts: empirical data, scalar values over 2D data, and volumes.

Details

Unlock the power of scientific computation with our groundbreaking book, "Mathematical Principles for Scientific Computing and Visualization." Designed to revolutionize the way you approach mathematical analysis, this non-traditional introduction is perfect for scientists and researchers looking to enhance their understanding of the major methods in statistics, applied mathematics, scientific visualization, and more. With its accessible language and comprehensive coverage, this book will empower you to harness the full potential of scientific computing.

Are you tired of complex mathematical jargon? Our book breaks down complex concepts into easily digestible explanations, ensuring that you can grasp even the most intricate principles. Whether you are a seasoned mathematician or new to the field, you'll appreciate our clear and concise approach to computational basics, coordinate systems, facets, and computer graphics. We believe that mathematical knowledge should be accessible to all, and that's precisely what we deliver.

Our comprehensive coverage of scientific computing will equip you with the essential skills needed to excel in your research. Dive into numerical linear algebra and discover how to solve linear systems, tackle eigen-problems, implement SVD, and leverage PCA techniques. Additionally, our exploration of numerical calculus will teach you data fitting, dynamic processes, root finding, and multivariate functions. No matter your area of specialization, our book provides the foundation you need to accelerate your scientific computations.

But we don't stop there. Our book goes beyond theory and dives deep into the realm of scientific visualization. We provide insights into handling empirical data, analyzing scalar values over 2D data, and understanding volumes. By mastering these visualization techniques, you'll not only gain a deeper understanding of your data but also communicate your findings effectively to others. Our book ensures that you become a well-rounded scientist, capable of leveraging the power of visualization to its fullest potential.

Ready to elevate your scientific computing and visualization skills? Don't miss out on this transformative reading experience. Unlock the secrets of scientific computation and visualization by ordering your copy of "Mathematical Principles for Scientific Computing and Visualization" today! Order now!

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