---
title: "J. Nathan Kutz og Steven L. Brunton Data-Driven Science and Engineering (3, 2022) | J. Nathan (University of Washington) Kutz,Steven L. (University of Washington) Brunton,Steven L. Brunton,J. Nathan Kutz"
ean: "9781009098489"
brand: "J. Nathan Kutz og Steven L. Brunton"
category: "Medier > Bøger"
price_min: 489
price_max: 705
currency: DKK
vendor_count: 2
in_stock: true
url: https://pricetracker.dk/p/9781009098489/data-driven-science-and-engineering
last_checked: 2026-10-16
---

# J. Nathan Kutz og Steven L. Brunton Data-Driven Science and Engineering (3, 2022) | J. Nathan (University of Washington) Kutz,Steven L. (University of Washington) Brunton,Steven L. Brunton,J. Nathan Kutz

EAN 9781009098489 · Mærke: J. Nathan Kutz og Steven L. Brunton · Kategori: Medier > Bøger

Sammenlign priser på J. Nathan Kutz og Steven L. Brunton Data-Driven Science and Engineering (3, 2022) | J. Nathan (University of Washington) Kutz,Steven L. (University of Washington) Brunton,Steven L. Brunton,J. Nathan Kutz fra 2 forhandlere. Billigste pris nu: 489 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781009098489/data-driven-science-and-engineering

## Priser
- **Billigste pris nu:** 489 kr hos Saxo DK
- **Prisspænd:** 489 kr – 705 kr på tværs af 2 forhandlere

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 489 kr | — |
| Plusbog | 705 kr | 6 - 8 hverdage |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material – including lecture videos per section, homeworks, data, and code in MATLAB®, Python, Julia, and R – available on databookuw.com.

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Priserne er sidst kontrolleret 2026-10-16.