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  • Quantizationofcompactsymplecticmanifolds LaurentCharles . . .
    For any integer k, set Ak = Lk ⊗ A and introduce the scalar product on C∞(M,A k) given by integrating the pointwise scalar product against the Li-ouville measure Let Hk be a finite dimensional subspace of C∞(M,Ak) Con-sider the orthogonal projector of C∞(M,Ak) onto Hk and its Schwartz kernel Πk ∈ C∞(M2,Ak⊠ Ak) This kernel may
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  • On the R-superlinear convergence of the KKT residues . . .
    primal feasibility, dual feasibility and duality gap, against different choices of the penalty parameter k One can see that the KKT residues converge locally linearly; the linear convergence rate is a constant if k is xed, and is decreasing if k is increased 20 40 60 80 100 iterations 10-15 10-10 10-5 10 0 10 5 2 4 6 8 10 12 iterations 10-15
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  • Mortality estimation and prediction: Models, Methods and Issues
    k=0 v k kp x where v k is the expected present value of k years hence $1 , and kp x = P(T >x + kjT >x) = P(T >x + k) P(T >x) = ‘ x+k ‘ x where T is the random variable denoting age at death Knowledge of survivorship probabilities is essential 1
  • New York Journal of Mathematics
    A ()= of = ()= ((((= = = is ()= = and, ()= =, =, ()= ((); ()= () The ()of (()





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