= Convex Optimization by Stephen Boyd and Lieven Vandenberghe
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{tag=Work by Stephen Boyd}
{tag=Work by Lieven Vandenberghe}
{title2=2004}
By <Stephen Boyd>, <Lieven Vandenberghe>.
Publisher: Cambridge University Press.
Online text: https://www.seas.ucla.edu/~vandenbe/cvxbook/bv_cvxbook.pdf
Cited passages: Appendix A.5.2, pp. 646–647: symmetric eigenvalue decomposition and definiteness; §2.2.2, p. 30, equation (2.3): ellipsoids and semi-axis lengths; the book uses the inverse quadratic coefficient matrix; §3.1.4, Example 3.2, p. 71: a quadratic function is strictly convex exactly when its symmetric coefficient matrix is positive definite.
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