Clean Numerical Simulation

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A01=Shijun Liao
advanced simulation methods
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Ann Model
Artificial Factors
Author_Shijun Liao
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Category1=Non-Fiction
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Category=TQ
chaos theory research
Chaotic System
Chaotic Trajectory
computational fluid dynamics
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DNS Result
DNS Simulation
dynamical systems modeling
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Fixed Time Step
Floating Point Arithmetic
Floating Point Data
Fluid Particle
Grid Search Method
High Order Taylor Expansion
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Lorenz Equation
Maximum Lyapunov Exponent
Multiple Precision Arithmetic
Numerical Noise
numerical stability analysis
Optimal Time Step
Ordinary Differential Equations
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Periodic Orbits
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PS=Active
scientific reproducibility
softlaunch
Spatial Truncation Error
Spatiotemporal Chaos
Symplectic Integrator
Thermal Fluctuations
Trained Ann Model
Truncation Error
ultra-chaos statistical instability

Product details

  • ISBN 9781032288093
  • Weight: 880g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Sep 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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This book describes the basic principles of Clean Numerical Simulation (CNS) proposed by the author in 2009, as well as several of its applications. Unlike conventional algorithms, CNS gives in a sufficiently long interval of time a convergent chaotic trajectory whose numerical noise is much lower than the true physical solution, so that one can gain accurately. Thus, CNS provides for the first time an ability to check statistics stability of chaos, leading to a completely new concept of "ultra-chaos," which has both trajectory instability and statistics instability, and thus is of a higher disorder.

Notably, it is impossible to repeat experimental results of ultra-chaos even in the statistical sense. However, the reproducibility of physical experiments forms a cornerstone for modern science. Thus, ultra-chaos reveals an incompleteness of the modern science paradigm. In addition, it also reveals statistics stability as a precondition for use of conventional algorithms, including direct numerical simulation (DNS). In Clean Numerical Simulation, several conjectures and open problems are proposed, including a modified fourth Clay millennium problem.

Indeed, CNS opens the door for us to enter the "clean" numerical world of chaos and turbulence.

Shijun Liao is Chun-Shen Distinguished Professor, Director, State Key Laboratory of Ocean Engineering, and Dean, School of Naval Architecture, Ocean and Civil Engineering at Shanghai Jiao Tong University, Shanghai, China. He holds a Ph.D. from Shanghai Jiao Tong University. he is also Cheung-Kong Distinguished Professor (Ministry of Education of China). His research is well-known. Topics include Nonlinear mechanics, gravity waves, turbulence, nonlinear dynamics, chaos, applied mathematics, analytic approximation method for highly nonlinear equations, reliable numerical simulations of chaotic systems and turbulence, and computer algebra methods in nonlinear mechanics. Awards and honors include Shanghai Scientific Elite (2017), National Natural Science Award (2016), Shanghai Natural Science Award (2009), Shanghai Peony Natural Science Award (2009), Shanghai Excellent Teaching Award (2004), Thomson Reuters Highly Cited Researcher in mathematics (2014, 2015, 2016), Thomson Reuters Highly Cited Researcher in engineering (2014), World’s Top 2% Scientists 2020 (Stanford University). He is also the author of Beyond Perturbation: Introduction to the Homotopy Analysis Method, also published by CRC Press.

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