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Choosing a suitable value of T for the desired accuracy depends on the time range of interest (e.g., 0 to tmax ) and the computation time. When t is much smaller than 2T, then the approximation of f t by Eq. (3.3.19) converges very slowly because the frequency step determined by 1=T is too small and we need to include many terms for the summation to converge. On the other hand, if t is too close to 2T, then the error due to the term E t in Eq. (3.3.18) becomes large, as can be seen from Eq. (3.3.20). A good choice for T lies in the range (0:8tmax ; 1:2tmax ). Numerical computations show that if we apply inverse Laplace transformation directly, then the summation converges very slowly for small values of t. This is because the frequency step determined by 1=T is too small for small t. To solve this problem, we can divide the time range [0; tmax ] into several time ranges [0; pk tmax ],

A 34-year-old nulligravida presents with a solid 9-cm adnexal mass and menorrhagia. She desires to preserve fertility, if possible. At surgery, a bosselated 9-cm solid tumor replacing the left ovary is removed intact and is classi ed as mixed granulosa and theca cell tumor on frozen section. No apparent metastases or ascites are noted; the uterus and contralateral adnexal structures appear normal.

3 Compare, for example, the K2 (Bayesian Dirichlet uniform) metric discussed in Section 7.2.4. The likelihood equivalent Bayesian Dirichlet uniform metric, however, uses a di erent value, although the prior is still uniform (cf. the same section).

This appendix provides the proofs of all theorems in this book. It also contains a few additional lemmata and their proofs, which are needed in the proofs of some of the theorems. For reading convenience each section restates the theorem proven in it.

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IP and Ethernet The goal is to create a flatter network with overall reduced costs of equipment and maintenance, permitting more rapid, flexible service introduction, provisioning, and control This trend has moved from LAN to MAN, and yet need to happen in the WAN Key deficiencies of Ethernet that are restricting its use in the wide area include its use of broadcast signaling for resource discovery, its flat address space, its lack of fast protection and restoration capability as well as sophisticated management tools for remote operations and fault detection and resolution, the limitations of its spanning tree capabilities, its minimal security attributes, and its limited capabilities for virtualization All of these areas are important to implementing flexible Ethernet services within Grid environments and are all being addressed through IEEE standardization initiatives One important activity is the IEEE 802.

1ah [8], which is defining an architecture and bridge protocols that will allow for the interconnection of multiple bridge networks (defined in 8021ad [9]) to ensure VLAN scalability and associated management capabilities, eg, through SNMP The 8021ad effort addresses issues such as layer 2 control protocol tunneling, VLAN stacking ( UNI QinQ ), and spanning tree segmentation The 8021d and 8021w define the standards and protocols for the MAC spanning tree specification Spanning tree prevents loops and assists in fault isolation The 8021s ( virtual bridge local area networks ) extends the standard to include support for multiple spanning trees for metro areas Unlike SONET/SDH which provides fast protection and restoration, existing Ethernet technologies still lack such recovery capabilities from failures The Resilient Packet Ring (RPR), a ring-based protocol, which was standardized by the IEEE 802.

As discussed in this section, color can be described as the addition or subtraction of specific wavelengths of light. Light is perceived as white when all three cone cell types (red, green, and blue) are stimulated equally as occurs when viewing a nonabsorbing white sheet of paper in sunlight. It was found over a century ago by James Clerk Maxwell (1831 1879) that color vision can be approximated by a simple tristimulus system involving red, green, and blue color stimulation. By varying the relative intensities of the three colors, all of the colors of the visual spectrum can be created, ranging from violet to red. Positive colors are created by combining different color wavelengths. A fine example of mixing wavelengths to create positive colors can be made using three slide projectors, each equipped with monochromatic red, green, and blue cellophane filters (the kind used for RGB color analysis) from a scientific supply house. The filters are mounted in slide holders and covered with an opaque aluminum foil mask containing a

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