Algorithms and Data Structures

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N.Wirth. Algorithms and Data Structures. Oberon version 206 Exercises 5.1. If the amount of information associated with each key is relatively large (compared to the key itself), this information should not be stored in the hash table. Explain why and propose a scheme for representing such a set of data. 5.2. Consider the proposal to solve the clustering problem by constructing overflow trees instead of overflow lists, i.e., of organizing those keys that collided as tree structures. Hence, each entry of the scatter (hash) table can be considered as the root of a (possibly empty) tree. Compare the expected performance of this tree hashing method with that of open addressing. 5.3. Devise a scheme that performs insertions and deletions in a hash table using quadratic increments for collision resolution. Compare this scheme experimentally with the straight binary tree organization by applying random sequences of keys for insertion and deletion. 5.4. The primary drawback of the hash table technique is that the size of the table has to be fixed at a time when the actual number of entries is not known. Assume that your computer system incorporates a dynamic storage allocation mechanism that allows to obtain storage at any time. Hence, when the hash table H is full (or nearly full), a larger table H' is generated, and all keys in H are transferred to H', whereafter the store for H can be returned to the storage administration. This is called rehashing. Write a program that performs a rehash of a table H of size N. 5.5. Very often keys are not integers but sequences of letters. These words may greatly vary in length, and therefore they cannot conveniently and economically be stored in key fields of fixed size. Write a program that operates with a hash table and variable length keys. References [5.1] W.D. Maurer. An Improved Hash Code for Scatter Storage. Comm. ACM, 11, No. 1 (1968), 35-38. [5.2] R. Morris. Scatter Storage Techniques. Comm. ACM, 11, No. 1 (1968), 38-43. [5.3] W.W. Peterson. Addressing for Random-access Storage. IBM J. Res. & Dev., 1 (1957), 130-46. [5.4] G. Schay and W. Spruth. Analysis of a File Addressing Method. Comm. ACM, 5, No. 8 (1962) 459-62.
N.Wirth. Algorithms and Data Structures. Oberon version 207 Appendix A. The ASCII Character Set 0 10 20 30 40 50 60 70 0 nul dle 0 @ P ` p 1 soh dc1 ! 1 A Q a q 2 stc dc2 " 2 B R b r 3 etx dc3 # 3 C S c s 4 eot dc4 $ 4 D T d t 5 enq nak % 5 E U e u 6 ack syn & 6 F V f v 7 bel etb ' 7 G W g w 8 bs can ( 8 H X h x 9 ht em ) 9 I Y i y A lf sub * : J Z j z B vt esc + ; K [ k { C ff fs , < L \ l | D cr gs - = M ] m } E so rs . > N ^ n ~ F si us / ? O _ o del
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Algorithms and Data Structures

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