Baggage by Kelli Jae Baeli

By Kelli Jae Baeli

In the course of storm Katrina, Patriarch Dominic Fontaine meets his freakish demise—the rubble of his “hurricane-proof” mansion throughout him—and not anyone suspects vengeful lady got here to kill him.

Real property Agent, Sienna Bachman, learns that karma can are available flavors, yet fears that even supposing she has, 'til now, been a moral individual, she might flavor simply one.

The darkish, good-looking artist, Jerrin Beaudreaux, Dominic Fontaine's estranged son, needs to take care of the threat of his father's dying, loathing him progressively more as his prior betrayal is compounded via nonetheless extra relations secrets.

Established agoraphobe, Cherise Fontaine, by no means understood her brother's hatred for his or her father, yet she wishes him greater than ever, now that Dominic won't be round to coax her out of her shell.

As Bay St. Louis sits in flooded, flattened wreck, 16 12 months previous Noah is stranded in Jackson in the course of a gig together with his band, watching for his alcoholic mom to affix him as Katrina bears down at the coast. She by no means seems to be. eager to locate her, he has no assets left to him other than the notorious Envelope. eventually, he needs to open it, in step with his mother's guideline, with a purpose to locate aid from a stranger.

A petty thief named Kitcher is blind to the function he performs in linking those humans together.

In the aftermath of the worst typhoon in American historical past, the secrets and techniques held in a secure deposit field spur the Fontaine offspring right into a trip of enlightenment and self-discovery as their lives converge with strangers, and the mysteries of karma, desire, and synchronicity take over.

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12) to get z k . Adopting such an iterative approach presupposes that maximizing H(z k−1 , z) is simpler than maximizing f (z) itself. This is the case with the EM algorithms. Sequential Optimization 31 One of the most useful and easily proved facts about the KullbackLeibler distance is contained in the following lemma. 1 For nonnegative vectors x and z, with z+ = have x+ KL(x, z) = KL(x+ , z+ ) + KL(x, z). 13) This lemma can be extended to obtain the following useful identity; we simplify the notation by setting b(z) = b(x, z).

3 Proximal Minimization . . . . . . . . . . . . . . . . . 4 The IPA . . . . . . . . . . . . . . . . . . . . . . . . . 25 26 27 27 28 28 28 29 29 30 31 31 32 33 34 The Landweber and projected Landweber algorithms, the SMART and the EMML are all examples of sequential optimization methods. Perhaps the best known examples of sequential optimization are the sequential unconstrained minimization (SUM) methods [126]. Auxiliary-function algorithms, a broad subclass of sequential optimization methods, provide a unifying framework for these and many other iterative algorithms.

6 The Lagrangian in Convex Programming . . . . . . . . 7 Infimal Convolution . . . . . . . . . . . . . . . . . . . 8 Moreau’s Proximity-Function Method . . . . . . . . . Basic Facts . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 35 36 36 36 39 39 39 40 40 40 41 41 42 42 43 Barrier-function and penalty-function methods are the best known examples of sequential optimization. In their usual formulations neither fits into the AF class of algorithms.

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