你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Data-Driven Methods for Dynamic Systems
Type
Physical Book
Publisher
Author
Year
2024
Language
English
Pages
169
Format
Paperback
ISBN13
9781611978155

Data-Driven Methods for Dynamic Systems

Jason J. Bramburger (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Data-Driven Methods for Dynamic Systems - Jason J. Bramburger

New Book Imported to Taiwan
Delivery: 01 Oct - 09 Oct Shipping: 13 to 14 business days.
NT$ 2,831
NT$ 2,831

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Data-Driven Methods for Dynamic Systems"

Modern computational tools merge centuries-old mathematical techniques with innovative approaches to analyze dynamic, time-dependent systems. Example-driven methods and online code support empower graduate students and researchers to explore dynamic data modeling, differential equations, and data science effectively.

As experimental data sets have grown and computational power has increased, new tools have been developed that have the power to model new systems and fundamentally alter how current systems are analyzed. This book brings together modern computational tools to provide an accurate understanding of dynamic data. The techniques build on pencil-and-paper mathematical techniques that go back decades and sometimes even centuries. The result is an introduction to state-of-the-art methods that complement, rather than replace, traditional analysis of time-dependent systems.

Data-Driven Methods for Dynamic Systems provides readers with methods not found in other texts as well as novel ones developed just for this book; an example-driven presentation that provides background material and descriptions of methods without getting bogged down in technicalities; and examples that demonstrate the applicability of a method and introduce the features and drawbacks of their application. The online supplementary material includes a code repository that can be used to reproduce every example and that can be repurposed to fit a variety of applications not found in the book.

This book is intended as an introduction to the field of data-driven methods for graduate students. It will also be of interest to researchers who want to familiarize themselves with the discipline. It can be used in courses on dynamical systems, differential equations, and data science.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews