Courses - Department of Electrical Engineering.
Fundamental paradigms of algorithm and data structure design. Divide-and-conquer, dynamic programming, greedy method, graph algorithms, amortization, priority queues and variants, search structures, disjoint-set structures. Theoretical underpinnings. Examples from various problem domains. prereq: 4041 or instr consent.
Java How to Program (Early Objects), Tenth Edition, teaches programming by presenting the concepts in the context of full working programs and takes an early-objects approach MyProgrammingLab forJava How to Program (Early Objects) is a total learning package. MyProgrammingLab is an online homework, tutorial, and assessment program that truly.
Divide-and-Conquer Algorithms An important problem-solving technique that makes use of recursion is divide-and-conquer. A divide-and-conquer algorithm is an efficient recursive algorithm that consist of two parts: divide, in which smaller problems are solved recursively (except, of course, base cases); and Divide-and-Conquer Algorithms.
Although specialized data structures designed for fast searching—such as hash tables—can be searched more efficiently, binary search applies to a wider range of search problems. -Although the idea is simple, implementing binary search correctly requires attention to some subtleties about its exit conditions and midpoint calculation.
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Advanced treatment of fundamental topics in algorithms that every graduate student should know and have some sophistication in. Knowledge and ability to apply the fundamental design strategies: the greedy method, divide-and-conquer, dynamic programming, to solve important problems in data encryption, efficient polynomial, integer, matrix.