Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Corriere Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Linear Algebra with Python

Name: Linear Algebra with Python
Brand: Springer Nature Singapore
SKU: 47031907
Price: 63.19 EUR
Availability: InStock
Author: Yuji Kobayashi
ISBN: 9789819929535

Lingua

Inglese

Libro In brossura

Codice Libristo: 47031907

Casa editrice Springer Nature Singapore, dicembre 2024

This textbook is for those who want to learn linear algebra from the basics. After a brief mathemati... Descrizione completa

Codice Libristo: 47031907

155 b

63.19 €

Magazzino esterno Inviamo tra 5-8 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Exploring University Mathematics with Python Siri Chongchitnan

Rigido

73.69 €

My First Words Spanish: Mis primeras palabras en Espa?ol - Bilingual children's books Spanish English, Spanish for Toddlers Felipe Fernandez

In brossura

13.49 €

Georges Pompidou, Directeur de Cabinet Du General de Gaulle Bernard Lachaise

In brossura

41.79 €

Guantes manoplas y mitones de punto nº 10 VERONICA HUG

In brossura

7.59 €

L'Homme spatial Michel Lussault

In brossura

31.09 €

Mathematische Werke Karl Weierstrass

In brossura

69.79 €

The Group for Mutual Improvement Jordan Baumgarten

Rigido

43.59 €

Elítéltek B. E. Belle

In brossura

14.89 €

This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.

A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.

Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding. By using Python's libraries NumPy, Matplotlib, VPython, and SymPy, readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations. All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.