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where accounts for measurement noise and all uncorrected lever arm or exure e ects The instrumentation errors are represented in this model as biases The known position assumption is reasonable in several applications In the master/slave calibration scenario, the o set vector between the two platforms is usually known to within a few meters (the error being due to di erent stored locations and structure ex) In stationary calibration applications, the calibration location may be known and programmable The majority of the following discussion concentrates on a nominally stationary system The analysis is also valid for low-speed, non-accelerating vehicles In the more general approaches, ie, using radar, GPS, masterslave INS or other external sensors for which measurements are available while the vehicle is in motion, the approach is essentially the same The fact that the F matrix is dependent on the velocity, acceleration, and rotation rate will enhance the ability to estimate the system errors (ie, observability) relative to the performance for a stationary system that is discussed in the following

Storage Management (ASM, explained in 2), the request is for allocation units gathered from the ASM extent map If the access method for the table uses a full scan for the table or the index, the database node also includes meta-data, which describes predicate information used for the query The Exadata Storage Server Software retrieves all the data from the disks (and may also use the Exadata Smart Flash Cache, as described later in this chapter) and uses the predicate information to reject all of the data that does meet the conditions imposed by the predicate A query will not use Smart Scan if the columns being requested by the query include a database large object (LOB), or if a table is a clustered table or an index-organized table If a query would normally qualify for Smart Scan but doesn t because the query contains a LOB, it s easy to work around this restriction by breaking the query up into two queries one without a LOB that can take advantage of Smart Scan, and another to retrieve the LOB based on the results of the first query If a query does not require a full scan, the Exadata software works as a normal data block server, sending blocks back to the requesting database instance, just as a standard Oracle database would return data But if the query can use Smart Scan, the Exadata software goes to work The Smart Scan process reads data blocks and keeps the relevant rows to return to the database instance The relevant rows are identified by filtering based on selection criteria specified in the query Smart Scan filters on predicates that use most comparison operators, including >, <, =, !=, <=, =>, IS [NOT] NULL, LIKE, [NOT} BETWEEN, [NOT]IN, EXISTS, IS OF type, NOT, and AND, as well as most SQL functions The 11202 release of the Exadata Storage software allows for the use of OR predicates and IN lists You can get a list of comparison operators that support Smart Scan with the following SQL query:.

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Let s look at the breakeven for this option and at what point it starts becoming pro table A single $2000 call option gives us the right to Home Depot at $2000 per share on 100 shares We have spent $233 per share in premium which we need to add to our strike price; we also need to add our costs of trading

When the velocity is near zero and the system is nearly level, the error dynamics reduce to 0 2 D 0 g 0 VN VN 2 D VE 0 g 0 0 VE 1 N = 0 D 0 N 0 Re 1 R E 0 D 0 N E e tan( ) D 0 0 N 0 D Re bN N bE E + dN + N (11179) dE E dD D The observability matrix is 1 0 0 1 H 0 2 D HF = 2 D 0 HF2 A 0 0 A

(11180)

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2 where A = ( S 4 D ) This observability matrix has rank equal to 5 The ve nominal states are observable from the north and east velocity mea-

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