'Worst case' presentation slideshows

Chapter 4: Arithmetic for Computers (Part 1)

1.56k views • 74 slides

787 views • 42 slides

Programming a Computer for Playing Chess

689 views • 40 slides

CS2006 - Data Structures I

CS2006 - Data Structures I. Chapter 10 Algorithm Efficiency & Sorting I. Topics. Algorithm analysis & efficiency Big-O Searching Linear search Binary search. Introduction. Important Questions we ask ourselves about algorithm How to measure the cost of a program?

728 views • 40 slides

Formal Models for Distributed Negotiations Commit Protocols

758 views • 39 slides

CS 332: Algorithms

1.05k views • 38 slides

Optimistic Initialization and Greediness Lead to Polynomial-Time Learning in Factored MDPs

705 views • 36 slides

Administrative

577 views • 33 slides

Data Structures Introduction

Data Structures Introduction. Phil Tayco Slide version 1.3 Jan 29 , 2018. Introduction. Why are we here? Programs are created to make our lives easier The more efficient the program, the better they perform to serve us

957 views • 31 slides

Simulated annealing for convex optimization

Simulated annealing for convex optimization. Adam ? . Kalai: TTI-Chicago Santosh Vempala: MIT. Bar Ilan University 2004. 100-million dollar endowment (thanks, Toyoda!) 12 tenure -track slots, 18 visitors On University of Chicago campus Optional teaching Advising graduate students.

547 views • 28 slides

Finding Security Violations by Using Precise Source-level Analysis

Finding Security Violations by Using Precise Source-level Analysis. by Vladimir Livshits and Monica Lam {livshits, lam}@cs.stanford.edu SUIF Group CSL, Stanford University. Computer Break-ins: Major problem. Software break-ins: relatively easy to do: a lot of prior art

515 views • 28 slides

Evaluating Performance

651 views • 25 slides

A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume

A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume. Lyndon While Walking Fish Group School of Computer Science & Software Engineering The University of Western Australia. Overview. Metrics for MOEAs Hypervolume LebMeasure and its behaviour

491 views • 25 slides

Multi-Attribute Utility Models with Interactions

Multi-Attribute Utility Models with Interactions. Dr. Yan Liu Department of Biomedical, Industrial & Human Factors Engineering Wright State University. Introduction. Attributes Can be Substitutes to One Another

917 views • 22 slides

CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis. Rada Mihalcea http://www.cs.unt.edu/~rada/CSCE3110 Algorithm Analysis I Reading: Weiss, chap.2. Problem Solving: Main Steps. Problem definition Algorithm design / Algorithm specification Algorithm analysis Implementation Testing

664 views • 21 slides

Convex hulls Quickhull

LEFT. RIGHT. Convex hulls Quickhull. Quicksort The Quickhull algorithm is based on the Quicksort algorithm. Recall how quicksort operates: at each level of recursion, an array of numbers to be sorted is partitioned into two subarrays,

823 views • 20 slides

Amortized Algorithm Analysis

Amortized Algorithm Analysis. COP3503 July 25, 2007 Andy Schwartz. Contents. Indirect Solutions Amortized Analysis Introduction Extendable Array Example Binomial Queue Binomial Queue Example. Indirect Solution. 10 yards / minute 100 yards / minute.

902 views • 16 slides

476 views • 16 slides

You Can Avoid the Rain! Weather Tips for Biking

603 views • 13 slides

How do you model the future?

How do you model the future?. Stochastic approach: The future can be modeled as a distribution over possible events. Very successful in many contexts. Alternative: Think of the future as an adversary, do well against all possible future outcomes. Toy Example: Ski Optimization.

446 views • 9 slides