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# Solutions for Chapter 6-4: The Determinant of a Matrix ## Full solutions for Numerical Analysis (Available Titles CengageNOW) | 8th Edition

ISBN: 9780534392000 Solutions for Chapter 6-4: The Determinant of a Matrix

Solutions for Chapter 6-4
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##### ISBN: 9780534392000

Numerical Analysis (Available Titles CengageNOW) was written by and is associated to the ISBN: 9780534392000. Chapter 6-4: The Determinant of a Matrix includes 13 full step-by-step solutions. Since 13 problems in chapter 6-4: The Determinant of a Matrix have been answered, more than 11924 students have viewed full step-by-step solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Numerical Analysis (Available Titles CengageNOW) , edition: 8.

Key Calculus Terms and definitions covered in this textbook

If u < v , then u + w < v + w

• Aphelion

The farthest point from the Sun in a planet’s orbit

• Damping factor

The factor Ae-a in an equation such as y = Ae-at cos bt

• Distance (on a number line)

The distance between real numbers a and b, or |a - b|

• Dot product

The number found when the corresponding components of two vectors are multiplied and then summed

• Extraneous solution

Any solution of the resulting equation that is not a solution of the original equation.

• Focal axis

The line through the focus and perpendicular to the directrix of a conic.

• Interquartile range

The difference between the third quartile and the first quartile.

• Inverse cosine function

The function y = cos-1 x

• Left-hand limit of f at x a

The limit of ƒ as x approaches a from the left.

• Linear factorization theorem

A polynomial ƒ(x) of degree n > 0 has the factorization ƒ(x) = a(x1 - z1) 1x - i z 22 Á 1x - z n where the z1 are the zeros of ƒ

• Local extremum

A local maximum or a local minimum

• Parallelogram representation of vector addition

Geometric representation of vector addition using the parallelogram determined by the position vectors.

• Polynomial interpolation

The process of fitting a polynomial of degree n to (n + 1) points.

• Quotient of functions

a ƒ g b(x) = ƒ(x) g(x) , g(x) ? 0

• Rational zeros theorem

A procedure for finding the possible rational zeros of a polynomial.

• Residual

The difference y1 - (ax 1 + b), where (x1, y1)is a point in a scatter plot and y = ax + b is a line that fits the set of data.

• Sample space

Set of all possible outcomes of an experiment.

• Scalar

A real number.

• Triangular form

A special form for a system of linear equations that facilitates finding the solution.

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