000 | 01246pam a2200301 a 4500 | ||
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999 |
_c194301 _d194301 |
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020 | _a9780486691152 | ||
040 | _cCUS | ||
082 | 0 | 0 |
_a511 _bBAL/I |
100 | 1 | _aBalakrishnan, V. K., | |
245 | 1 | 0 |
_aIntroductory discrete mathematics / _cV.K. Balakrishnan. |
250 | _aDover ed. | ||
260 |
_aNew York : _bDover Publications, _c1996. |
||
300 |
_axiv, 236 p. : _bill. ; _c24 cm. |
||
440 | 0 | _aDover books on mathematics | |
500 | _a"An unabridged, corrected republication of the work first published by Prentice Hall, Englewood Cliffs, N.J., 1991"--T.p. verso. | ||
504 | _aIncludes bibliographical references (p. 219-223) and index. | ||
505 | _aSet theory and logic. Introduction to set theory ; Functions and relations ; Inductive proofs and recursive definitions -- Combinatorics. Two basic counting rules ; Permutations ; Combinations ; More on permutations and combinations ; The pigeonhole principle ; The inclusion-exclusion principle ; Summary of results in combinatorics -- Generating functions. Ordinary generating functions ; Exponential generating functions -- Recurrence relations. Homogeneous recurrence relations ; Inhomogeneous recurrence relations ; Recurrence relations and generating functions ; Analysis of algorithms -- Graphs and digraphs. Adjacency matrices and incidence matrices ; Joining in graphs ; Reaching in digraphs ; Testing connectedness ; Strong orientation of graphs -- More on graphs and digraphs. Eulerian paths and Eulerian circuits ; Coding and de Bruijn digraphs ; Hamiltonian paths and Hamiltonian cycles ; Applications of Hamiltonian cycles ; Vertex coloring and planarity of graphs -- Trees and their applications. Spanning trees ; Binary trees -- Spanning tree problems. More on spanning trees ; Kruskal's greedy algorithm ; Prim's greedy algorithm ; Comparison of the two algorithms -- Shortest path problems. Dijkstra's algorithm ; Floyd-Warshall algorithm ; Comparison of the two algorithms -- What is NP-completeness? Problems and their instances ; The size of an instance ; Algorithm to solve a problem ; The "Big Oh" or the O(ยท) notation ; Easy problems and difficult problems ; the Class P and the Class NP ; Polynomial transformations and NP-completeness ; Coping with hard problems. | ||
650 | 0 | _aMathematics. | |
650 | 0 |
_aComputer science _xMathematics. |
|
942 | _cWB16 |