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Introduction to Linear Algebra

Rita Fioresi | Marta Morigi
€107.99
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A01=Marta Morigi
A01=Rita Fioresi
Algebraic Multiplicity
Author_Marta Morigi
Author_Rita Fioresi
Basis and Dimension
Bilinear Form
Canonical Bases
Cartesian Equation
Category=PB
Category=PBF
Complete Matrix
Completion Theorem
Complex Numbers
Congruences
Determinant
determinant calculation
Diagonal Matrix
Distinct Eigenvalues
Eigenvalues
eigenvector analysis
Eigenvectors
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Euclid's Algorithm
Euclidean Scalar Product
Gaussian Algorithm
Gram-Schmidt process
Homogeneous Linear System
Identity Map
INI
Inverse
Linear Combination
Linear Combination and Linear Independence
Linear Maps
Linear System
Linear Systems
linear systems solution techniques
Linear Transformation
Linearly Independent
Matrices
matrix operations
modular arithmetic basics
Nonzero Rows
Orthogonal Linear Transformation
Orthonormal Basis
quadratic forms
Rank Nullity Theorem
Real Vector Space
Row Echelon Form
Row Rank
Scalar Product
Scalar Products
Spectral Theorem
Vector Space
Vector Spaces
Vice Versa

Product details

  • ISBN 9780367626549
  • Weight: 620g
  • Dimensions: 178 x 254mm
  • Publication Date: 02 Sep 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Linear algebra provides the essential mathematical tools to tackle all the problems in Science. Introduction to Linear Algebra is primarily aimed at students in applied fields (e.g. Computer Science and Engineering), providing them with a concrete, rigorous approach to face and solve various types of problems for the applications of their interest. This book offers a straightforward introduction to linear algebra that requires a minimal mathematical background to read and engage with.

Features

  • Presented in a brief, informative and engaging style

  • Suitable for a wide broad range of undergraduates

  • Contains many worked examples and exercises
About Marta Morigi | Rita Fioresi

Rita Fioresi and Marta Morigi are professors at the University of Bologna and teach linear
algebra courses to students of all majors. Their research publications are centered into algebra with some applications (R. Fioresi Lie theory & machine learning, M. Morigi Group theory).

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