Vakinhoud: - Leren rekenen met vectoren en matrices. - De methode van …
Vakinhoud: - Leren rekenen met vectoren en matrices. - De methode van rijreductie voor het oplossen van lineaire systemen. - De begrippen lineair onafhankelijk, span en basis - Elementaire lineaire transformaties, de begrippen surjectief en injectief. - De begrippen deelruimte, basis en dimensie en voorbeelden hiervan. - Eigenwaardes en eigenvectoren van een matrix. - Dit vak is een combinatie van de vakken Lineaire Algebra 1 en Lineaire Algebra 2 die bij andere TU-opleidingen aangeboden worden.
Leerdoelen: - Het kennen van basisbegrippen, het gebruik van basismethodes. - Het maken van logische afleidingen met behulp van deze begrippen en methodes
This course offers a rigorous treatment of linear algebra, including vector spaces, …
This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linear equations, bases, linear independence, matrices, determinants, eigenvalues, inner products, quadratic forms, and canonical forms of matrices. Compared with 18.06 Linear Algebra, more emphasis is placed on theory and proofs.
This course covers matrix theory and linear algebra, emphasizing topics useful in …
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering. It parallels the combination of theory and applications in Professor Strang’s textbook Introduction to Linear Algebra. Course Format This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
A complete set of Lecture Videos by Professor Gilbert Strang. Summary Notes for all videos along with suggested readings in Prof. Strang’s textbook Linear Algebra. Problem Solving Videos on every topic taught by an experienced MIT Recitation Instructor. Problem Sets to do on your own with Solutions to check your answers against when you’re done. A selection of Java® Demonstrations to illustrate key concepts. A full set of Exams with Solutions, including review material to help you prepare.
This is a basic subject on matrix theory and linear algebra. Emphasis …
This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.
Linear Algebra is a text for a first US undergraduate Linear Algebra …
Linear Algebra is a text for a first US undergraduate Linear Algebra course. It is Free. You can use it as a main text, as a supplement, or for independent study.
We believe the entire book can be taught in twenty five 50-minute …
We believe the entire book can be taught in twenty five 50-minute lectures to a sophomore audience that has been exposed to a one year calculus course. Vector calculus is useful, but not necessary preparation for this book, which attempts to be self-contained. Key concepts are presented multiple times, throughout the book, often first in a more intuitive setting, and then again in a definition, theorem, proof style later on. We do not aim for students to become agile mathematical proof writers, but we do expect them to be able to show and explain why key results hold. We also often use the review exercises to let students discover key results for themselves; before they are presented again in detail later in the book.
This is a book on linear algebra and matrix theory. While it …
This is a book on linear algebra and matrix theory. While it is self contained, it will work best for those who have already had some exposure to linear algebra. It is also assumed that the reader has had calculus. Some optional topics require more analysis than this, however.
This book features an ugly, elementary, and complete treatment of determinants early in the book. Thus it might be considered as Linear algebra done wrong. I have done this because of the usefulness of determinants. However, all major topics are also presented in an alternative manner which is independent of determinants.
The book has an introduction to various numerical methods used in linear algebra. This is done because of the interesting nature of these methods. The presentation here emphasizes the reasons why they work. It does not discuss many important numerical considerations necessary to use the methods effectively. These considerations are found in numerical analysis texts.
After being traditionally published for many years, this formidable text by W. …
After being traditionally published for many years, this formidable text by W. Keith Nicholson is now being released as an open educational resource and part of Lyryx with Open Texts! Supporting today’s students and instructors requires much more than a textbook, which is why Dr. Nicholson opted to work with Lyryx Learning.
Overall, the aim of the text is to achieve a balance among computational skills, theory, and applications of linear algebra. It is a relatively advanced introduction to the ideas and techniques of linear algebra targeted for science and engineering students who need to understand not only how to use these methods but also gain insight into why they work.
The contents have enough flexibility to present a traditional introduction to the subject, or to allow for a more applied course. Chapters 1–4 contain a one-semester course for beginners whereas Chapters 5–9 contain a second semester course. The text is primarily about real linear algebra with complex numbers being mentioned when appropriate (reviewed in Appendix A).
Mathematics explained: Here you find videos on various math topics: Pre-university Calculus …
Mathematics explained: Here you find videos on various math topics:
Pre-university Calculus (functions, equations, differentiation and integration) Vector calculus (preparation for mechanics and dynamics courses) Differential equations, Calculus Functions of several variables, Calculus Linear Algebra Probability and Statistics
Find out what solid-state physics has brought to Electromagnetism in the last …
Find out what solid-state physics has brought to Electromagnetism in the last 20 years. This course surveys the physics and mathematics of nanophotonics—electromagnetic waves in media structured on the scale of the wavelength. Topics include computational methods combined with high-level algebraic techniques borrowed from solid-state quantum mechanics: linear algebra and eigensystems, group theory, Bloch’s theorem and conservation laws, perturbation methods, and coupled-mode theories, to understand surprising optical phenomena from band gaps to slow light to nonlinear filters. Note: An earlier version of this course was published on OCW as 18.325 Topics in Applied Mathematics: Mathematical Methods in Nanophotonics, Fall 2005.
This course covers the mathematical techniques necessary for understanding of materials science …
This course covers the mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from the materials science and engineering core courses (3.012 and 3.014) to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigenvalues and eigenvectors, quadratic forms, tensor operations, symmetry operations, calculus of several variables, introduction to complex analysis, ordinary and partial differential equations, theory of distributions, and fourier analysis. Users may find additional or updated materials at Professor Carter’s 3.016 course Web site.
Mathematics for Quantum Physics provides a compact introduction to the most important …
Mathematics for Quantum Physics provides a compact introduction to the most important mathematical tools used in quantum mechanics. The text is aimed at students who already possess basic knowledge of calculus and complex numbers. It is divided into three parts: analysis, linear algebra and probability. The focus is on examples and applications, and each section comes with a collection of exercises.
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