'Tight bound' presentation slideshows

Algorithm Analysis

Algorithm Analysis. Introduction. Data structures Methods of organizing data What is Algorithm? a clearly specified set of simple instructions on the data to be followed to solve a problem Takes a set of values, as input and produces a value, or set of values, as output

646 views • 47 slides

Algorithm Analysis

Algorithm Analysis. Introduction. Data structures Methods of organizing data What is Algorithm? a clearly specified set of simple instructions on the data to be followed to solve a problem Takes a set of values, as input and produces a value, or set of values, as output

616 views • 47 slides

622 views • 47 slides

Analysis of Algorithms

Analysis of Algorithms. Analyzing Algorithms. We need methods and metrics to analyze algorithms for: Correctness Methods for proving correctness Efficiency Time complexity, Asymptotic analysis. Lecture Outline. Short Review on Asymptotic Analysis Asymptotic notations

457 views • 45 slides

Analysis of Algorithms

Analysis of Algorithms. Analyzing Algorithms. We need methods and metrics to analyze algorithms for: Correctness Methods for proving correctness Efficiency Time complexity, Asymptotic analysis. Lecture Outline. Short Review on Asymptotic Analysis Asymptotic notations

413 views • 40 slides

Asymptotics

Asymptotics. Section 3.2 of Rosen Spring 2012 CSCE 235 Introduction to Discrete Structures Course web-page: cse.unl.edu/~cse235 Questions : Piazza. Outline. Introduction Asymptotic Definitions (Big O, Omega, Theta), properties Proof techniques

521 views • 38 slides

Efficient Hop ID based Routing for Sparse Ad Hoc Networks

Efficient Hop ID based Routing for Sparse Ad Hoc Networks. Yao Zhao 1 , Bo Li 2 , Qian Zhang 2 , Yan Chen 1 , Wenwu Zhu 3. 1 Lab for Internet & Security Technology, Northwestern University 2 Hong Kong University of Science and Technology 3 Microsoft Research Asia. Outline. Motivation

465 views • 36 slides

Discrete Mathematics Summer 2006

Discrete Mathematics Summer 2006. By Dan Barrish-Flood originally for Fundamental Algorithms For use by Harper Langston in D.M. What is an Algorithm?. A problem is a precise specification of input and desired output

577 views • 35 slides

348 views • 26 slides

Performances of List Scheduling for set partition problems

Performances of List Scheduling for set partition problems. ???????? ?????? ????? ???????. Set partition problems. Given: a set of positive numbers (not necessary distinct) Divide them into m parts Objective functions: Minimize the maximum part Minimize the sum of squares (L 2 metric)

271 views • 16 slides

Intuitive vs. Computable Topological Aspects of Computational Electromagnetics

Intuitive vs. Computable Topological Aspects of Computational Electromagnetics. P. Robert Kotiuga prk@bu.edu Boston University.

321 views • 14 slides

A Parallel MAC

236 views • 12 slides

Order of growth

Order of growth. Suppose you have analyzed two algorithms and expressed their run times in terms of the size of the input: Algorithm A: takes 100 n + 1 steps to solve a problem with size n ; Algorithm B: takes n 2 + n + 1 steps.

133 views • 11 slides