Edgar H. Sanchez rated it it was amazing Dec 08, Vanja Novosel rated it liked it May 09, Charles Ritter rated it it was amazing Apr 24, Dudley Grant rated it liked it Nov 30, Sai Tanmai rated it liked it Nov 14, Lawrence Klinkert rated it it was amazing Jan 05, Jeff rated it liked it Jan 06, Abhishek Grewal rated it really liked it Nov 03, Patricia Stevens rated it it was amazing Jan 22, Cobey rated it really liked it Oct 25, Cilinnie Ngo-Pondi rated it did not like it Mar 15, Xin Song rated it really liked it Nov 05, Nina Silvia added it Jul 19, J marked it as to-read Dec 15, Bob marked it as to-read Dec 26, Mohdiliyas is currently reading it Jan 08, Eelvex marked it as to-read Jan 10, Sal Delprado marked it as to-read Feb 01, Germancho added it Feb 22, Mornatur added it Feb 24, Aaron Fulkerson marked it as to-read May 19, Tahir marked it as to-read Jun 07, Shiva marked it as to-read Oct 02, Bruce added it Oct 05, Maha added it Nov 07, Getasew added it Dec 06, Faiza Khurshid added it Feb 21, Bilal is currently reading it Mar 03, Knud van Eeden added it Apr 27, Jo Stone added it Jun 09, Saada added it Aug 26, Yasin Kailani marked it as to-read Oct 19, Sinchita Chakraborty marked it as to-read Oct 25, Venkat Ram marked it as to-read Dec 04, Linear algebra is central to almost all areas of mathematics.
For instance, linear algebra is fundamental in modern presentations of geometry, including for defining basic objects such as lines, planes, and rotations. Also, the functional analysis may be basically viewed as the application of linear algebra to spaces of functions. Linear algebra is also used in most sciences and engineering areas, because it allows modeling many natural phenomena, and efficiently computing with such models. For nonlinear systems, which cannot be modeled with linear algebra, linear algebra is often used as a first approximation.
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