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IDictionary, IDictionary<TKey, TValue>, ICollection, ICollection< KeyValuePair<TKey, TValue>>, IEnumerable, and IEnumerable< KeyValuePair<TKey, TValue>>. The size of a SortedList<TKey, TValue> is dynamic and will automatically grow as needed. SortedList<TValue, TKey> is similar to SortedDictionary<TKey, TValue> but has different performance characteristics. For example, a SortedList<TKey, TValue> uses less memory, but a SortedDictionary<TKey, TValue> is faster when inserting out-of-order elements. SortedList<TKey, TValue> provides many constructors. Here is a sampling: public SortedList( ) public SortedList(IDictionary<TKey, TValue> dictionary) public SortedList(int capacity) public SortedList(IComparer<TKey> comparer) The first constructor creates an empty list with a default capacity. The second creates a list that contains the same elements as those in dictionary. The third lets you specify an initial capacity. If you know in advance that you will need a list of a certain size, then specifying that capacity will prevent the resizing of the list at runtime, which is a costly process. The fourth form lets you specify a comparison method that will be used to compare the objects contained in the list. The capacity of a SortedList<TKey, TValue> list grows automatically as needed when elements are added to the list. When the current capacity is exceeded, the capacity is increased. The advantage of specifying a capacity is that you can prevent or minimize the overhead associated with resizing the collection. Of course, it makes sense to specify an initial capacity only if you have some idea of how many elements will be stored. In addition to the methods defined by the interfaces that it implements, SortedList<TKey, TValue> also defines several methods of its own. A sampling is shown in Table 25-19. Notice the enumerator returned by GetEnumerator( ) enumerates the key/value pairs stored in the list as objects of type KeyValuePair. In addition to the properties defined by the interfaces that it implements, SortedList<TKey, TValue> defines the following properties:
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This curve has a maximum acceleration of about 125 percent of the acceleration of the parabolic curve, or about 81 percent of the acceleration of the cycloidal curve. In this way, other higher-order mulitple harmonic curves can be generated. Baranyi (1970) has derived and tabulated the Fourier coef cients up to and including the seventeenth harmonic of the pro le groups for the DRD cam. Unfortunately, these high-order harmonic curves do not generally produce a satisfactory dynamic response of the follower. Nevertheless, there is an advantage in using a harmonic series for cam motion design. This advantage is the direct knowledge of the harmonic content of the forcing function applied to the cam-and-follower system. With this knowledge, the designer can create a system that will avoid the resonance at certain critical harmonics. In the foregoing discussion, we have studied the dwell-to-dwell curves including the transition between endpoints designed to have nite terminal velocities. Weber (1979) has presented an approximate method to generate Fourier series of cams with this transition. His method is based on the superposition principle in which simple curves are combined to develop a complex curve. In Weber s work, a curve is considered to be the composite of two elements: a chord (constant velocity line) connecting the endpoints and a Fourier sine series having terminal slopes equal and opposite to the chordal slope discontinuities such that the composite curve is slope-continuous.
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template <class Argument, class Result> struct unary_function { typedef Argument argument_type; typedef Result result_type; }; template <class Argument1, class Argument2, class Result> struct binary_function { typedef Argument1 first_argument_type; typedef Argument2 second_argument_type; typedef Result result_type; };
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