Abstract
Orthogonality, distance, and length are primary considerations for applications involving vector spaces. Once these are established, a host of applied problems can be addressed by the techniques that result, such as vector orthonormalization, matrix factorization, and modeling based on least squares. Readers are encouraged to apply whichever computer algebra system is at their disposal to implement some of the algorithms here.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.