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- Author:
-
Stephen Boyd
- Subject:
- Mathematics and Statistics, Science and Technology
- Institution Name:
- Stanford University
- Collection:
-
Stanford University - School of Engineering
- Grade Level:
- Post-secondary
- Abstract:
Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation.
- Languages:
- English
- Material Type:
- Audio Lectures, Full Course, Lecture Notes, Video Lectures
- Media Format:
- Audio, Text/HTML, Downloadable docs, Video
- Conditions of Use:
-
Creative Commons Attribution 3.0
- Copyright Holder:
- Stanford University
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
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restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.
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