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Introduction to Algorithms. Steven Skiena. Department of Computer Science. State University of New York. Stony Brook, NY 11794–4400. LEC #, TOPICS. Unit 1: Introduction. 1, Algorithmic thinking, peak finding (PDF - 1.9MB). 2. Models of computation, document distance. Computer Science & Engineering 235. Introduction to Discrete Mathematics. Section 2.1 of Rosen cse235@cse.unl.edu. Notes. Algorithms. Brief Introduction. UNIT I: Introduction: Algorithm, Psuedo code for expressing algorithms, Performance Analysis-. Space complexity, Time complexity, Asymptotic Notation- Big oh Reminders of many of these will be included in the lectures. Textbooks. The lecture notes provide the essentials for each topic, for further material or aIntroduction. These lecture notes cover the key ideas involved in designing algorithms. We shall see how they depend on the design of suitable data Introduction to algorithm: Asymptotic notations, Analysis of algorithms: Time and Space complexity. Unit II. Arrays and Linked Lists: Arrays: Dynamic memory

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