Price loading...

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

Introduction to Programming

Price data last checked 92 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

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)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Applied Linear Algebra and Matrix Methods (Springer Undergraduate Texts in Mathematics and Technology)

Applied Linear Algebra (Undergraduate Texts in Mathematics)

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

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version (Springer Undergraduate Texts in Mathematics and Technology)

Applied Linear Algebra (Undergraduate Texts in Mathematics)

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

Linear Algebra: Ideas and Applications

Introduction to Linear and Matrix Algebra

Introduction to Linear and Matrix Algebra

Advanced Linear and Matrix Algebra

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

Linear Algebra for Computational Sciences and Engineering

Linear Algebra: Algorithms, Applications, and Techniques

Essential Linear Algebra with Applications: A Problem-Solving Approach

Linear Algebra and Optimization for Machine Learning: A Textbook

Linear Algebra and Its Applications with R (Textbooks in Mathematics)

Linear Algebra and Its Applications with R (Textbooks in Mathematics)

Linear Algebra: Pure & Applied

Linear Algebra: Pure & Applied

Essential Linear Algebra with Applications: A Problem-Solving Approach

Principles of Linear Algebra with Mathematica (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)

A Mathematical Introduction to Data Science

Advanced Linear Algebra with Applications