Showing results for "MATLAB Linear Algebra German"

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.MATLAB Linear Algebra introduces you to the MATLAB language with practical hands-on i...

Linear Algebra is intended for a one-term course at the junior or senior level. It begins with an exposition of the basic theory of vector spaces and proceeds to explain the fundamental structure theorems for linear maps, including eigenvectors and eigenvalues, quadric and hermitian forms, diagonalization of symmetric, hermitian, and unitary linear maps and matrices, triangulation, and Jordan canonical form. The book also includes a useful chapter on convex sets and the finite-dimensional ...

This self-contained textbook takes a matrix-oriented approach to linear algebra and presents a complete theory, including all details and proofs, culminating in the Jordan canonical form and its proof. Throughout the development, the applicability of the results is highlighted. Additionally, the book presents special topics from applied linear algebra including matrix functions, the singular value decomposition, the Kronecker product and linear matrix equations.The matrix-oriented ...

MATLAB Engineer's Toolkit, Volume 2: Engineering Mathematics, Data Analysis, and Economics presents 59 ready-to-use MATLAB® functions for solving mathematical, numerical, statistical, data-analysis, and engineering-economic problems. Written for engineering students, instructors, researchers, and practicing engineers, the book covers algebra, vectors and matrices, numerical methods, descriptive statistics, error and uncertainty, experimental-data a...

Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations.A rigorous presentation has been maintain...

Numerical Linear Algebra with Applications is designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, using MATLAB as the vehicle for computation. The book contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis...

Numerical Linear Algebra with Applications: Using MATLAB and Octave, Second Edition provides practical knowledge on modern computational techniques for the numerical solution of linear algebra problems. The book offers a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions. Useful to readers regardless of background, the text begins with six introductory courses to provide background for those who haven't taken applied or theoretical lin...

Students and research workers in mathematics, physics, engineering and other sciences will find this compilation of more than 4,000 mathematical formulas and tables invaluable. All the information included is practical, rarely used results are excluded. Topics range from elementary to advanced - from algebra, trigonometry and calculus to linear algebra and statistics. Great care has been taken to present all results concisely and clearly. Excellent to keep as a handy reference! If you don'...

This self-contained textbook, now in a thoroughly revised and expanded second edition, takes a matrix-oriented approach to Linear Algebra. It presents a complete theory, including all details and proofs, culminating in the Jordan canonical form and its derivation. Throughout, the book emphasizes the practical applicability of results. It therefore also covers special topics in Applied Linear Algebra, such as matrix functions, the singular value decomposition, the Kronecker product, and lin...

Matlab is a high-level scientific calculation platform. Most topics in algebra and classical numerical analysis are handled by this software. It supports matrix calculus, statistics, interpolation, least squares fitting, numerical integration, function minimisation, linear programming, numerical and algebraic solutions of differential equations and a long list of additional methods that make Matlab a very suitable software for mathematical work. Matlab has functions that allow easy work in...

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows:...

Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences.Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book:Outlines the bas...