Clean Numerical Simulation 1st Edition

Clean Numerical Simulation — 1st Edition by Shijun Liao

Discover a rigorous, practical guide to accurate computational modeling with Clean Numerical Simulation. This authoritative text confronts a central challenge in numerical analysis: how to suppress numerical noise and achieve reliable long-term solutions for nonlinear, chaotic, and multiscale systems. Written by leading researcher Shijun Liao, the book blends theory, algorithmic insight, and real-world relevance to elevate your computational practice.

You’ll find clear explanations of the principles that underpin high-precision computation and noise control, alongside step-by-step strategies for implementing robust numerical methods. The narrative emphasizes why small numerical errors can grow into qualitatively wrong results and shows how careful algorithm design and precision management restore confidence in simulations of turbulence, chaotic dynamics, weather, and engineering systems.

Ideal for graduate students, researchers, and computational engineers, this volume translates advanced mathematics into actionable workflows. Learn to diagnose numerical instability, choose appropriate precision levels, and apply strategies that improve reproducibility and predictive power across fields—from computational physics and fluid dynamics to climate modeling and control systems.

Global in scope and practical in tone, this book supports practitioners in academia and industry—from Europe and North America to Asia and beyond—seeking dependable simulation outcomes. Whether you’re validating a model, publishing results, or designing experiments, Clean Numerical Simulation equips you with the methods and mindset to trust your computations. Add this essential resource to your professional library and elevate the clarity and credibility of your numerical work.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.