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143 bytes added ,  14:09, May 13, 2010
Matrices can be used for data fitting tasks such as "curving" student grades on exams, and for finding correlations between two sets of data.
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'''Linear algebra''' is the branch of [[mathematics]] that deals with [[vector]]s, vector spaces, linear maps, and systems of linear [[equation]]s. Topics studied in Linear algebra include Linear equations, Matrices, [[Matrix]] decompositions, Computations, Vectors, Vector spaces, Multilinear algebra, Affine space, Projective space.<ref>[http://www.m-w.com/cgi-bin/dictionary?book=Dictionary&va=linear+algebra Merriam Webster definition of Linear Algebra]</ref>  
 
'''Linear algebra''' is the branch of [[mathematics]] that deals with [[vector]]s, vector spaces, linear maps, and systems of linear [[equation]]s. Topics studied in Linear algebra include Linear equations, Matrices, [[Matrix]] decompositions, Computations, Vectors, Vector spaces, Multilinear algebra, Affine space, Projective space.<ref>[http://www.m-w.com/cgi-bin/dictionary?book=Dictionary&va=linear+algebra Merriam Webster definition of Linear Algebra]</ref>  
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Linear algebra has numerous applications in [[engineering]], [[chemistry]] and [[physics]].  Linear algebra is particularly useful for organizing and simplifying data.
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Linear algebra has numerous applications in [[engineering]], [[chemistry]] and [[physics]].  Matrices can be used for data fitting tasks such as "curving" student grades on exams, and for finding correlations between two sets of data.  Linear algebra is particularly useful for organizing and simplifying data.
    
The three most vexing computations in linear algebra are these:
 
The three most vexing computations in linear algebra are these:
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