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Titlebook: Handbook on Semidefinite, Conic and Polynomial Optimization; Miguel F. Anjos,Jean B. Lasserre Book 2012 Springer Science+Business Media, L

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Elementary Optimality Conditions for Nonlinear SDPsparallels and some differences. It starts by discussing a constraint qualification for both programs. First order optimality conditions are presented for the case where this constraint qualification is satisfied. For the second order conditions, in addition, strict complementarity is assumed.
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The Approach of Moments for Polynomial Equationsame real zero set as the system of polynomials to be solved. Combining this characterization with ideas from commutative algebra, (numerical) linear algebra and semidefinite optimization yields a new class of real algebraic algorithms. This chapter sheds some light on the underlying theory and the link to polynomial optimization.
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Convex Relaxations and Integrality Gapsproved approximation algorithms. We also discuss known lower bounds on the integrality gaps of relaxations arising from these hierarchies, demonstrating limits on the applicability of such hierarchies for certain optimization problems.
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A “Joint+Marginal” Approach in Optimizationrobust optimization (where the parameter is the robust decision) and (b), an iterative algorithm for non parametric optimization (where the parameter is the first coordinate . of the variable, then . after . has been calculated, etc.)
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An Introduction to Formally Real Jordan Algebras and Their Applications in Optimizationomposition. Finally we show how this theory transparently unifies presentation and analysis of issues such as degeneracy and complementarity, and proofs of polynomial time convergence of interior point methods in linear, second order and semidefinite optimization problems.
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Relaxations of Combinatorial Problems Via Association Schemesesner algebra of an association scheme, or, more generally, a coherent algebra. Thus we obtain new (and known) relaxations of the traveling salesman problem, maximum equipartition problems in graphs, the maximum stable set problem, etc.
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