Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning - Image 1

£56.49

Cambridge University Press Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning

Name: Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Brand: Cambridge University Press
Price: 56.49 GBP
Availability: InStock

Higher Education

This is the usual price. Wait for it to drop, or tell us your number.

£56 today · usual range £54–£57 · best ever £54

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 54 days · 54 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 54 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £57 (43 days, 79.6%)

Price range: £54 - £57

Price levels: 2 different prices over 54 days

Description

Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control. Fluid mechanics is historically a big data field and offers a fertile ground for developing and applying data-driven methods, while also providing valuable shortcuts, constraints, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.

Key Features

Data Driven Fluid Mechanics: Combining First Principles And Machine Learning

Product Type: Abis Book

Language: English

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108842143
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 02 February 2023
Listed Since: 24 March 2022

Barcode

No barcode data available

Cambridge University Press Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Machine Learning for Fluid Dynamics

Fluid Dynamics with a Computational Perspective

Fluid Dynamics via Examples and Solutions

Theoretical and Computational Fluid Mechanics: Existence, Blow-up, and Discrete Exterior Calculus Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Mechanics of Fluids

Engineering Fluid Dynamics: An Interdisciplinary Systems Approach

Oxford Elementary Fluid Dynamics Textbook - Acheson OAMCSS

Handbook of Fluid Dynamics

Physical Fluid Dynamics (Oxford Science Publications)

A First Course in Computational Fluid Dynamics (Cambridge Texts in Applied Mathematics)

Fluid Dynamics

Inviscid Fluid Flows: 43 (Applied Mathematical Sciences, 43)

Mathematical Fluid Mechanics: Recent Results and Open Questions (Advances in Mathematical Fluid Mechanics)

A First Course in Fluid Dynamics

Computational Fluid Dynamics: Incompressible Turbulent Flows

The Dynamics and Thermodynamics of Compressible Fluid Flow: 1

Experimental and Computational Fluid Mechanics (Environmental Science and Engineering)

Print Proceedings of the ASME 5th Joint ASME/JSME Fluids Engineering Conference (FEDSM2007): July 30 - August 2 2007 San Diego, California v. 1

Fluid Mechanics

Applied Fluid Mechanics: Sixth Edition

Fluid Dynamics: Theory, Computation, and Numerical Simulation

Perspectives in Fluid Dynamics: A Collective Introduction to Current Research

Advances in Computation, Modeling and Control of Transitional and Turbulent Flows

Computational Fluid Dynamics