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Chapter 3: Overdetermined linear systems

Tobin A. Driscoll, Richard J. Braun

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Abstract

So far we have considered Ax = b only when A is a square matrix. In this chapter we consider how to interpret and solve the problem for an m × n matrix where m > n— and in practice, m is often much larger than n. This is called an overdetermined linear system because, in general, the system has more equations to satisfy than the variables allow. The complementary underdetermined case m < n turns up less frequently and will not be considered in this book.

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So far we have considered Ax = b only when A is a square matrix. In this chapter we consider how to interpret and solve the problem for an m × n matrix where m > n— and in practice, m is often much larger than n. This is called an overdetermined linear system because, in general, the system has more equations to satisfy than the variables allow. The complementary underdetermined case m < n turns up less frequently and will not be considered in this book.

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Available abstract

So far we have considered Ax = b only when A is a square matrix. In this chapter we consider how to interpret and solve the problem for an m × n matrix where m > n— and in practice, m is often much larger than n. This is called an overdetermined linear system because, in general, the system has more equations to satisfy than the variables allow. The complementary underdetermined case m < n turns up less frequently and will not be considered in this book.

Key concepts: Overdetermined system, Underdetermined system, System of linear equations, Mathematics, Matrix (chemical analysis), Linear system, Applied mathematics, Coefficient matrix

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