Apparel & AccessoriesBooksClassical MusicDVDElectronics & PhotoGourmet Food and GroceriesHealth & Personal CareHome & GardenIndustrial & ScientificKitchen
Popular MusicMusical InstrumentsOutdoor LivingComputer HardwareComputer SoftwareSporting GoodsToolsToys and GamesVHS VideoVideo Games

Search:

Browse by Catagory:

Books

Matrices


Elementary Matrix Algebra (Dover Books on Mathematics)

Elementary Matrix Algebra (Dover Books on Mathematics) Lowest new price: $43.99
Lowest used price: $15.00
List price: $49.95
Author: Franz E. Hohn

This complete and coherent exposition, complemented by numerous illustrative examples, offers readers a text that can teach by itself. Fully rigorous in its treatment, it offers a mathematically sound sequencing of topics. The work starts with the most basic laws of matrix algebra and progresses to the sweep-out process for obtaining the complete solution of any given system of linear equations — homogeneous or nonhomogeneous — and the role of matrix algebra in the presentation of useful geometric ideas, techniques, and terminology.
Other subjects include the complete treatment of the structure of the solution space of a system of linear equations, the most commonly used properties of determinants, and linear operators and linear transformations of coordinates. Considerably more material than can be offered in a one-semester course appears here; this comprehensive volume by Franz E. Hohn, Professor of Mathematics at the University of Illinois for many years, provides instructors with a wide range of choices in order to meet differing interests and to accommodate students with varying backgrounds.

Similar Products:


Python for beginners: Step-By-Step Guide to Learning Python Programming

Python for beginners: Step-By-Step Guide to Learning Python Programming Lowest new price: $13.99
List price: $14.38
Author: Larry Lutz

PYTHON FOR BEGINNERS

Buy the Paperback version of this book, and get the Kindle eBook version included for FREE!


Do You Want to Become An Expert Of PYTHON ?? Get this Book and Follow My Step by Step Explanations! Click Add To Cart Now!


Python language is widely used all over the globe. Its popularity is because of its characteristics and many advantages attached to it. Some of the major advantages are as follows:

  • Easy-to-Learn, Read and Maintain
  • A handful of Standard Libraries
  • Easy development and Test
  • Extendable to Low-Level languages


This book contains illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning.


Benefits of reading this book that you're not going to find anywhere else:

  • Introduction to Python
  • Utilities of Python
  • Configuring Python Environment
  • Basic of Python
  • Variables, Strings and Operators
  • Mathematical Aspects
  • Data Types
  • Lists and Tuples
  • Dictionaries
  • Control Statements
  • Functions and Modules
  • File Input - Output
  • Object-oriented Programming
  • Code optimization
  • Useful python libraries

Don't miss out on this new step by step guide to Python. All you need to do is scroll up and click on the BUY NOW button to learn all about it!


Matrices and Matroids for Systems Analysis (Algorithms and Combinatorics)

Matrices and Matroids for Systems Analysis (Algorithms and Combinatorics) Lowest new price: $68.99
Lowest used price: $94.52
List price: $199.99
Author: Kazuo Murota
Brand: Brand: Springer

A matroid is an abstract mathematical structure that captures combinatorial properties of matrices. This book offers a unique introduction to matroid theory, emphasizing motivations from matrix theory and applications to systems analysis.

This book serves also as a comprehensive presentation of the theory and application of mixed matrices, developed primarily by the present author in the 1990's. A mixed matrix is a convenient mathematical tool for systems analysis, compatible with the physical observation that "fixed constants" and "system parameters" are to be distinguished in the description of engineering systems.

This book will be extremely useful to graduate students and researchers in engineering, mathematics and computer science.

From the reviews:

"…The book has been prepared very carefully, contains a lot of interesting results and is highly recommended for graduate and postgraduate students."

András Recski, Mathematical Reviews Clippings 2000m:93006

Features:

  • Used Book in Good Condition


Algebraic Methods for Toeplitz-like Matrices and Operators (Operator Theory: Advances and Applications)

Algebraic Methods for Toeplitz-like Matrices and Operators (Operator Theory: Advances and Applications) Lowest new price: $87.57
Lowest used price: $101.23
List price: $99.99
Author: G. Heinig


Introduction to Matrix Theory (Series on Concrete and Applicable Mathematics)

Introduction to Matrix Theory (Series on Concrete and Applicable Mathematics) Lowest new price: $67.00
Lowest used price: $131.15
List price: $87.00
Author: Sandor Molnar

In economic modeling and planning, as well as in business, most problems are linear, or approximated by linear models. Such problems are solved by matrix methods, so the material presented in this book is essential to these fields.


The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods

The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods Lowest new price: $127.26
Lowest used price: $89.83
List price: $109.00
Author: David S. Watkins

This book presents the first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like algorithms for dense problems and Krylov subspace methods for sparse problems. The author discusses the theory of the generic GR algorithm, including special cases (for example, QR, SR, HR), and the development of Krylov subspace methods. Also addressed are a generic Krylov process and the Arnoldi and various Lanczos algorithms, which are obtained as special cases. The chapter on product eigenvalue problems provides further unification, showing that the generalized eigenvalue problem, the singular value decomposition problem, and other product eigenvalue problems can all be viewed as standard eigenvalue problems.

The author provides theoretical and computational exercises in which the student is guided, step by step, to the results. Some of the exercises refer to a collection of MATLAB® programs compiled by the author that are available on a Web site that supplements the book.

Audience: Readers of this book are expected to be familiar with the basic ideas of linear algebra and to have had some experience with matrix computations. This book is intended for graduate students in numerical linear algebra. It will also be useful as a reference for researchers in the area and for users of eigenvalue codes who seek a better understanding of the methods they are using.

Contents: Preface; Chapter 1: Preliminary Material; Chapter 2: Basic Theory of Eigensystems; Chapter 3: Elimination; Chapter 4: Iteration; Chapter 5: Convergence; Chapter 6: The Generalized Eigenvalue Problem; Chapter 7: Inside the Bulge; Chapter 8: Product Eigenvalue Problems; Chapter 9: Krylov Subspace Methods; Bibliography; Index.


The Theory of Matrices in Numerical Analysis (Dover Books on Mathematics)

The Theory of Matrices in Numerical Analysis (Dover Books on Mathematics) Lowest new price: $1.20
Lowest used price: $1.20
List price: $14.95
Author: Alston S. Householder

This text explores aspects of matrix theory that are most useful in developing and appraising computational methods for solving systems of linear equations and for finding characteristic roots. Suitable for advanced undergraduates and graduate students, it assumes an understanding of the general principles of matrix algebra, including the Cayley-Hamilton theorem, characteristic roots and vectors, and linear dependence.
An introductory chapter covers the Lanczos algorithm, orthogonal polynomials, and determinantal identities. Succeeding chapters examine norms, bounds, and convergence; localization theorems and other inequalities; and methods of solving systems of linear equations. The final chapters illustrate the mathematical principles underlying linear equations and their interrelationships. Topics include methods of successive approximation, direct methods of inversion, normalization and reduction of the matrix, and proper values and vectors. Each chapter concludes with a helpful set of references and problems.

Similar Products:


Linear Algebra and Matrix Theory (Dover Books on Mathematics)

Linear Algebra and Matrix Theory (Dover Books on Mathematics) Lowest new price: $7.46
Lowest used price: $6.31
List price: $17.95
Author: Robert R. Stoll

Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics.
The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.

Similar Products:


Matrix Theory (Dover Books on Mathematics)

Matrix Theory (Dover Books on Mathematics) Lowest new price: $9.98
Lowest used price: $1.52
List price: $16.95
Author: Joel N. Franklin

Not only is matrix theory significant in a wide range of fields mathematical economics, quantum physics, geophysics, electrical network synthesis, crystallography, and structural engineering, among others-but with the vast proliferation of digital computers, knowledge of matrix theory is a must for every modern engineer, mathematician, and scientist. Matrices represent linear transformations from a finiteset of numbers to another finite set of numbers.
Since many important problems are linear, and since digital computers with finite memory manipulate only finite sets of numbers, the solution of linear problems by digital computers usually involves matrices. Developed from the author's course on matrix theory at the California
Institute of Technology, the book begins with a concise presentation of the theory of determinants, continues with a discussion of classical linear algebra, and an optional chapter on the use of matrices to solve systems of linear triangularizations of Hermitian and nonHermitian matrices, as well as a chapter presenting a proof of the difficult and important matrix theory of Jordan. The book concludes with discussions of variational principles and perturbation theory of matrices, matrix numerical analysis, and an introduction to the subject of linear computations.
The book is designed to meet many different needs, and because it is mathematically rigorous, it may be used by students of pure and applied mathematics. Since it is oriented towards applications, it is valuable to students of engineering, science, and the social sciences. And because it contains the basic preparation in matrix theory required for numerical analysis, it can be used by students whose main interest is computers. The book assumes very little mathematical preparation, and except for the single section on the continuous dependence of eigenvalues on matrices, a knowledge of elementary algebra and calculus is sufficient.

Similar Products:


Hands-On Matrix Algebra Using R: Active And Motivated Learning With Applications

Hands-On Matrix Algebra Using R: Active And Motivated Learning With Applications Lowest new price: $50.00
Lowest used price: $39.99
List price: $55.00
Author: Hrishikesh D Vinod
Brand: Hrishikesh D Vinod

This is the first book of its kind which teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. Instead of a calculator, R is a vastly more powerful free software and graphics system. The book provides a comprehensive overview of matrix theory without being bogged down in proofs or tedium. The reader can check each matrix result with numerical examples of exactly what they mean and understand their implications. The book does not shy away from advanced topics, especially the ones with practical applications.

Features:

  • Hands on Matrix Algebra Using R Active and Motivated Learning With Applications

Similar Products:


<< Prev   Next >>
Page 5 of 78

[Kindle]    [Kindle DX]
  Privacy Policy

CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED AS IS AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.