Convex Optimization by Stephen Boyd and Lieven Vandenberghe (2004)

By Stephen Boyd, Lieven Vandenberghe.

Publisher: Cambridge University Press.

Online text: 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.