£46.92

Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)

Introduction to Programming

Price data last checked 137 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

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

£47 today · usual range £0–£0 · best ever £23

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 357 days • 357 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 357 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £45-50 (247 days, 69.2%)

Price range: £23 - £50

Price levels: 5 price ranges over 357 days

Description

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.

Product Specifications

Format: paperback
ASIN: 9819929539
Category: Books > Subjects > Computing & Internet > Programming > Introduction to Programming
Domain: Amazon UK
Release Date: 07 December 2024
Listed Since: 08 December 2024

Barcode

No barcode data available

Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)

Linear Algebra: Pure & Applied

Advanced Linear Algebra (Textbooks in Mathematics)

Linear Algebra (Volumes I and II): The Set (Courant Lecture Notes)

Linear Algebra for Data Science with Python (Chapman & Hall/CRC The Python Series)

Linear Algebra: Algorithms, Applications, and Techniques

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

Practical Linear Algebra: A Geometry Toolbox (Textbooks in Mathematics)

Essential Linear Algebra with Applications: A Problem-Solving Approach

Linear Algebra: Vector Spaces and Linear Transformations (Pure and Applied Undergraduate Texts)

Elements of Matrix Modeling and Computing with MATLAB

Linear Algebra for Computational Sciences and Engineering

Finite-Dimensional Linear Algebra: 59 (Discrete Mathematics and Its Applications)

Essential Linear Algebra with Applications: A Problem-Solving Approach

Linear Algebra for Computational Sciences and Engineering

A Portrait of Linear Algebra

Linear Algebra: An Introductory Approach (Undergraduate Texts in Mathematics)

Linear Algebra: Algorithms, Applications, and Techniques

Practical Linear Algebra: A Geometry Toolbox (Textbooks in Mathematics)

Linear Algebra: What you Need to Know (Textbooks in Mathematics)

Linear Algebra

Linear Algebra (Textbooks in Mathematics)

Linear Algebra II (Courant Lecture Notes)

Linear Algebra and Its Applications, 2nd Edition (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)