An Introduction to Linear Algebra for Science and Engineering

An Introduction to Linear Algebra for Science and Engineering
Author: Daniel Norman
Publisher:
Total Pages: 528
Release: 2011-12-15
Genre: Algebras, Linear
ISBN: 9780321748966

Norman/Wolczuk's An Introduction to Linear Algebra for Science and Engineering has been widely respected for its unique approach, which helps students understand and apply theory and concepts by combining theory with computations and slowly bringing students to the difficult abstract concepts. This approach includes an early treatment of vector spaces and complex topics in a simpler, geometric context. An Introduction to Linear Algebra for Science and Engineering promotes advanced thinking and understanding by encouraging students to make connections between previously learned and new concepts and demonstrates the importance of each topic through applications. NEW! MyMathLab is now available for this text. The course features assignable homework exercises plus the complete eBook, in addition to tutorial and assessment tools that make it easy to manage your course online.

Linear Algebra for Computational Sciences and Engineering

Linear Algebra for Computational Sciences and Engineering
Author: Ferrante Neri
Publisher: Springer
Total Pages: 574
Release: 2019-07-26
Genre: Computers
ISBN: 3030213218

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.

Introduction to Linear Algebra for Science and Engineering

Introduction to Linear Algebra for Science and Engineering
Author: Daniel Norman
Publisher: Don Mills, Ont. : Addison-Wesley
Total Pages: 555
Release: 1995
Genre: Algebras, Linear
ISBN: 9780201602104

Provides an innovative approach to the subject for students of science and engineering. Although this text was written for students with some exposure to calculus and physics, those with a less extensive background will not feel overwhelmed. The author was particularly conscious of the need for students to relate linear algebra to their earlier mathematics, to develop geometrical understanding, and to see clear indications of applications.

Introduction to Linear Algebra for Science and Engineering Plus Mylab Mathematics with Pearson EText -- Access Card Package

Introduction to Linear Algebra for Science and Engineering Plus Mylab Mathematics with Pearson EText -- Access Card Package
Author: Dan Norman
Publisher:
Total Pages: 99999
Release: 2019
Genre:
ISBN: 9780135309025

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide. Norman/Wolczuk's An Introduction to Linear Algebra for Science and Engineering has been widely respected for its unique approach, which helps students understand and apply theory and concepts by combining theory with computations and slowly bringing students to the difficult abstract concepts. This approach includes an early treatment of vector spaces and complex topics in a simpler, geometric context. An Introduction to Linear Algebra for Science and Engineering promotes advanced thinking and understanding by encouraging students to make connections between previously learned and new concepts and demonstrates the importance of each topic through applications. 0135309026 / 9780135309025 Introduction to Linear Algebra for Science and Engineering Plus MyLab Mathematics with Pearson eText -- Access Card Package, 3/e Package consists of: 0134682637 / 9780134682631 Introduction to Linear Algebra for Science and Engineering, 3/e 0135278600 / 9780135278604 MyLab Math with Pearson eText -- Standalone Access Card -- for Introduction to Linear Algebra for Science and Engineering, 3/e

Introduction to Applied Linear Algebra

Introduction to Applied Linear Algebra
Author: Stephen Boyd
Publisher: Cambridge University Press
Total Pages: 477
Release: 2018-06-07
Genre: Business & Economics
ISBN: 1316518965

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Linear Algebra

Linear Algebra
Author: Arak M. Mathai
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 564
Release: 2017-10-23
Genre: Mathematics
ISBN: 3110562596

In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to be self-contained, so no other material is required for an understanding of the topics covered. As the basis for courses on space and atmospheric science, remote sensing, geographic information systems, meteorology, climate and satellite communications at UN-affiliated regional centers, various applications of the formal theory are discussed as well. These include differential equations, statistics, optimization and some engineering-motivated problems in physics. Contents Vectors Matrices Determinants Eigenvalues and eigenvectors Some applications of matrices and determinants Matrix series and additional properties of matrices

Numerical Linear Algebra and Matrix Factorizations

Numerical Linear Algebra and Matrix Factorizations
Author: Tom Lyche
Publisher: Springer Nature
Total Pages: 376
Release: 2020-03-02
Genre: Mathematics
ISBN: 3030364682

After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large and difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones. The main characteristics of this book are as follows: It is self-contained, only assuming that readers have completed first-year calculus and an introductory course on linear algebra, and that they have some experience with solving mathematical problems on a computer. The book provides detailed proofs of virtually all results. Further, its respective parts can be used independently, making it suitable for self-study. The book consists of 15 chapters, divided into five thematically oriented parts. The chapters are designed for a one-week-per-chapter, one-semester course. To facilitate self-study, an introductory chapter includes a brief review of linear algebra.