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3.<b>ABS algorithms for linear equations and linear least squares; Automatic differentiation: Point and interval; Automatic differentiation: Point and interval Taylor operators; Bounding derivative ranges; Cholesky factorization; Global optimization: Application to phase equilibrium problems; Interval analysis: Application to chemical engineering design problems; Interval analysis: Differential equations; Interval analysis: Eigenvalue bounds of interval matrices; Interval analysis: Intermediate terms; Interval analysis: Nondifferentiable problems; Interval analysis: Parallel methods for global optimization; Interval analysis: Subdivision directions in interval branch and bound methods; Interval analysis: Systems of nonlinear equations; Interval analysis: Unconstrained and constrained optimization; Interval analysis: Verifying feasibility; Interval constraints; Interval fixed point theory; Interval global optimization; Interval Newton methods; Large scale trust region problems; Large scal
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Publisher：Springer US
8.<b>Duality for semidefinite programming; Entropy optimization: Interior point methods; Homogeneous selfdual methods for linear programming; Linear programming: Interior point methods; Linear programming: Karmarkar projective algorithm; Matrix completion problems; Potential reduction methods for linear programming; Semi-infinite programming, semidefinite programming and perfect duality; Semidefinite programming and determinant maximization; Semidefinite programming and structural optimization; Semidefinite programming: Optimality conditions and stability; Sequential quadratic programming: Interior point methods for distributed optimal control problems; Solving large scale and sparse semidefinite programs; Successive quadratic programming: Solution by active sets and interior point methods</b> INTERIOR POINT METHODS FOR SEMIDEFINITE PROGRAMMING
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Publisher：Springer US
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