PPT-COSC 3100 Decrease and Conquer
Author : alida-meadow | Published Date : 2019-03-16
Instructor Tanvir Decrease and Conquer Exploit the relationship between a solution to a given instance of a problem and a solution to its smaller instance Topdown
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COSC 3100 Decrease and Conquer: Transcript
Instructor Tanvir Decrease and Conquer Exploit the relationship between a solution to a given instance of a problem and a solution to its smaller instance Topdown recursive Bottomup iterative. Confucius Introduction 2 Decrease by a Constant 3 Decrease by a Constant Factor The exploitat ion can be either topdown recursive or bottomup nonrecursive The major variations of decrease and conquer are 1 Decrease by a constant usually by 1 a insertion sort b graph traversal algorithms DFS and BFS c topological sorting d algor CS 46101 Section 600. CS 56101 Section 002. . Dr. Angela Guercio. Spring 2010. Analyzing Divide-and-Conquer Algorithms. Use a recurrence to characterize the running time of a divide-and-conquer algorithm.. CIS 606. Spring 2010. Analyzing Divide-and-Conquer Algorithms. Use a recurrence to characterize the running time of a divide-and-conquer algorithm.. Solving the recurrence gives us the asymptotic running time. Transform and Conquer. Instructor: . Tanvir. What is Transform and Conquer ?. The 4. th. algorithm design technique we are going to study. Three major variations. Instance Simplification:. Transform to a simpler or more convenient instance of the same problem. Generating Subsets You might recall the knapsack problem or subset sum problem which may require us to enumerate through all subsets until we find one that solves the problem. We can generate subsets Diff. Analytical . Transmissions Electron Microscopy (TEM). Part I:. The microscope. Sample preparation. Imaging. Part II:. Diffraction. Defects. Part III. Spectroscopy. . Repetision. :. Electron . Diffraction. CS 3100 CPU Scheduling. 1. Objectives. To introduce CPU scheduling, which is the basis for . multiprogrammed. operating systems. To describe various CPU-scheduling algorithms. To discuss evaluation criteria for selecting a CPU-scheduling algorithm for a particular system. PrePeat. Printer. Robert Orloff. MIS 304. 2/15/2010. No Ink and No Toner Needed. The . PrePeat. printer uses thermal technology and special reusable printer sheets to print without ink.. The rewritable printer sheets are made out of PET film/plastic.. 1. Recurrence Relations. Time complexity for Recursive Algorithms. Can be more difficult to solve than for standard algorithms because we need to know complexity for the sub-recursions of decreasing size. 1. File Concept. Contiguous logical address space. Types: . Data. numeric. character. binary. Program. CS 3100 File-System Interface. 2. File Structure. None - sequence of words, bytes. Simple record structure. Vostinar. Grinnell College. Many slides borrowed lovingly from . Skiena. Outline. Homework . reqs. Divide and Conquer. Find the median. Implementation on . HackerRank. No office hours today. Homework requirements. Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. Application: Maxima Sets. We can visualize the various trade-offs for optimizing two-dimensional data, such as points representing hotels according to their pool size and restaurant quality, by plotting each as a two-dimensional point, (x, y), where x is the pool size and y is the restaurant quality score. . Transmissions Electron Microscopy (TEM). Part I:. The microscope. Sample preparation. Imaging. Part II:. Diffraction. Defects. Part III. Spectroscopy. . Repetision. :. Electron . Diffraction. :. Powder.
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