03220cam a2200481M  45000010014000000030008000140050017000220060019000390070015000580080041000730400026001140200036001400200033001760200036002090200033002450200043002780200040003210200049003610200046004100200015004560200018004710350022004890350024005110500010005350720025005450720025005700720025005950720016006200820015006361000043006512450059006942600041007533000022007945201538008165880047023546500022024016500045024236500044024686500035025128560072025478560102026199990017027219781003137702FlBoTFG20260210180720.0m     o  d        cr |n|||||||||210203s2021    xx      o     0|| 0 eng d  aOCoLC-PbengcOCoLC-P  a9781000345872q(electronic bk.)  a1000345874q(electronic bk.)  a9781003137702q(electronic bk.)  a1003137709q(electronic bk.)  a9781000345896q(electronic bk. : EPUB)  a1000345890q(electronic bk. : EPUB)  a9781000345889q(electronic bk. : Mobipocket)  a1000345882q(electronic bk. : Mobipocket)  z0367697386  z9780367697389  a(OCoLC)1236035083  a(OCoLC-P)1236035083 4aQA251 7aMATx0020002bisacsh 7aMATx0020502bisacsh 7aMATx0000002bisacsh 7aPBF2bicssc04a512/.52231 aWoerdeman, Hugo J.q(Hugo Jan),d1962-10aFIRST COURSE IN LINEAR ALGEBRAh[electronic resource].  a[S.l.] :bCHAPMAN & HALL CRC,c2021.  a1 online resource  aThis book is intended for a first linear algebra course. The text includes all essential topics in a concise manner and can therefore be fully covered in a one term course. After this course, the student is fully equipped to specialize further in their direction(s) of choice (advanced pure linear algebra, numerical linear algebra, optimization, multivariate statistics, or one of the many other areas of linear algebra applications). Linear Algebra is an exciting area of mathematics that is gaining more and more importance as the world is becoming increasingly digital. It has the following very appealing features: It is a solid axiomatic based mathematical theory that is accessible to a large variety of students. It has a multitude of applications from many different fields, ranging from traditional science and engineering applications to more daily life' applications (internet searches, guessing consumer preferences, etc.). It easily allows for numerical experimentation through the use of a variety of readily available software (both commercial and open source). This book incorporates all these aspects throughout the whole text with the intended effect that each student can find their own niche in the field. Several suggestions of different software are made. While MATLAB is certainly still a favorite choice, open source programs such as Sage (especially among algebraists) and the Python libraries are increasingly popular. This text guides the student through different programs by providing specific commands.  aOCLC-licensed vendor bibliographic record. 0aAlgebras, Linear. 7aMATHEMATICS / Algebra / General2bisacsh 7aMATHEMATICS / Algebra / Linear2bisacsh 7aMATHEMATICS / General2bisacsh403Taylor & Francisuhttps://www.taylorfrancis.com/books/9781003137702423OCLC metadata license agreementuhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf  c89311d89310