Discrete Mathematics For Computing Peter Grossman Pdf - Google

| Chapter Topic | Grossman’s Focus | Real Computing Application | | --- | --- | --- | | | Propositions, Tautologies, Logical Equivalence | Writing complex if-else statements; Refactoring conditional logic. | | Set Theory | Unions, Intersections, Power Sets | Python set operations; SQL JOIN and UNION queries. | | Matrices & Relations | Binary relations, Representing relations as matrices | Graph adjacency matrices; Database foreign keys. | | Combinatorics | Permutations, Combinations, Pigeonhole Principle | Probability in games; Load balancing in distributed systems. | | Graph Theory | Euler/Hamiltonian paths, Trees, Planarity | Network topology; XML/JSON tree traversal; Git branching. | | Recurrence | Solving linear recurrences, Master Theorem | Time complexity of recursive algorithms (Merge Sort, Fibonacci). |

The text focuses on the mathematical concepts programmers use daily, including:

Bases, computer representation of numbers, and binary arithmetic. | Chapter Topic | Grossman’s Focus | Real

Aimed at first-year undergraduates who may have a limited mathematical background.

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Detailed coverage of sets, relations, functions, and graph theory.

Peter Grossman, an experienced educator and mathematician, authored Discrete Mathematics for Computing with a specific audience in mind: the computing student who may not be a math major. and graph theory. Peter Grossman

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