Linear Algebra with Mathematica: An Introduction Using Mathematica - Tapa blanda

Reseña del editor

Linear Algebra: An Introduction With Mathematica uses a matrix-based presentation and covers the standard topics any mathematician will need to understand linear algebra while using Mathematica. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems using Mathematica. The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics.

• Includes a thematic presentation of linear algebra
• Provides a systematic integration of Mathematica
• Encourages students to appreciate the benefits of mathematical rigor
• All exercises can be solved with Mathematica

Contraportada

This book is written for a standard first course in linear algebra, taught and learned with MATHEMATICA. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems using MATHEMATICA.
Linear algebra's rich pertinence to problem-solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, an statistics. Topic coverage includes linear systems, matrix algebra, determinants, real vector spaces, eigenvalues and eigenvectors, vector and matrix norms, inner products, orthogonality, and singular valuedecoposition. The book's matrix-based approach has been extensively classroom tested.|This book is written for a standard first course in linear algebra, taught and learned withMATHEMATICA. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems usingMATHEMATICA.
Linear algebra's rich pertinence to problem-solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, an statistics. Topic coverage includes linear systems, matrix algebra, determinants, real vector spaces, eigenvalues and eigenvectors, vector and matrix norms, inner products, orthogonality, and singular valuedecoposition. The book's matrix-based approach has been extensively classroom tested.