'Backtrack' diaporamas de présentation

CS294-32: Dynamic Partial Order Reduction

CS294-32: Dynamic Partial Order Reduction. Koushik Sen UC Berkeley. t1: if (x==100) a = 1 else a = 2. t2: if (y==9) a = 3 else a = 4. Exponential Blowup. Computation tree for a single thread . Conditional statement.

1.06k views • 80 slides

Incident Handling Foundations

Incident Handling Foundations. Agenda. What is incident handling? Why is it important? What is an incident? Fundamentals The Six Step process Legal issues. Incident Handling.

791 views • 60 slides

Lecture 26 Introduction to Bloodstain Pattern Analysis (BPA): (Continued)

Lecture 26 Introduction to Bloodstain Pattern Analysis (BPA): (Continued). Calculating the Angle of Impact. Mechanism of how blood forms elongated stains is critical for understanding how to determine the angle at which the blood impacted with the surface.

987 views • 54 slides

Syntax Analysis

Syntax Analysis. source program. lexical analyzer. tokens. syntax analyzer. parse tree. semantic analyzer. parser tree. The Role of the Parser. Construct a parse tree Report and recover from errors Collect information into symbol tables. Context-free Grammars. G=( S ,N,P,S).

859 views • 51 slides

Introduction to Bloodstain Pattern Analysis (BPA): (Continued)

Introduction to Bloodstain Pattern Analysis (BPA): (Continued). Calculating the Angle of Impact. Mechanism of how blood forms elongated stains is critical for understanding how to determine the angle at which the blood impacted with the surface.

871 views • 50 slides

Java Exceptions, Cloning, Serialization

Java Exceptions, Cloning, Serialization. Nelson Padua-Perez Chau-Wen Tseng Department of Computer Science University of Maryland, College Park. Overview. Review Errors Exceptions Java support Representing exceptions Generating & handling exceptions Designing & using exceptions.

563 views • 36 slides

Distances and Dead Reckoning

723 views • 35 slides

Exceptions in Java

Exceptions in Java. Fawzi Emad Chau-Wen Tseng Department of Computer Science University of Maryland, College Park. Overview. Background Errors Exceptions Java support Representing exceptions Generating & handling exceptions Designing & using exceptions. Program Errors.

635 views • 29 slides

Graphs

Graphs. COP 3502. Graphs. Train Lines. Daytona. Gainesville. Ocala. Deltona. Orlando. Melbourne. Lakeland. Tampa. Graphs. Southwest Flights in FL. Jax. Pan. Orl. Tpa. WPB. Naples. FTL. Graphs. Definition A Graph G, is a a set of vertices, V AND a set of edges, E

470 views • 29 slides

LIVE OAKS PROBLEM A: Santa-acre & Elfacre

LIVE OAKS PROBLEM A: Santa-acre & Elfacre. Elves: Mannello; Webb; Donnelly Santas: Ford; Patel; Sapir Judges: Edelstein; Lungarelli; Quigley Reserves: Albrecht; Lobel; McCay; Schwarz MUSIC: Jason Mraz, Waiting for My Rocket to Come (2002). PROBLEM A.

564 views • 28 slides

Hidden Markov Models

Hidden Markov Models. Ankur Jain Y7073. What is Covered. Observable Markov Model Hidden Markov Model Evaluation problem Decoding Problem. Markov Models. Set of states: Process moves from one state to another generating a sequence of states :

883 views • 28 slides

KD-Tree Acceleration Structures for a GPU Raytracer

KD-Tree Acceleration Structures for a GPU Raytracer. Tim Foley, Jeremy Sugerman Stanford University. Motivation. Accelerated raytracing On commodity HW Production rendering Real-time applications? Performance trend 9800 XT : 170M ray-triangle intersects/s

768 views • 27 slides

Realization of Incompletely Specified Reversible Functions

Realization of Incompletely Specified Reversible Functions. Manjith Kumar Ying Wang Natalie Metzger Bala Iyer Marek Perkowski Portland Quantum Logic Group Portland State University, Oregon RM 2007, Oslo, Norway. Objectives.

589 views • 27 slides

Notes for CS3310 Artificial Intelligence Part 6: Control structures and expert systems

Notes for CS3310 Artificial Intelligence Part 6: Control structures and expert systems. Prof. Neil C. Rowe Naval Postgraduate School Version of January 2009. Control structures for rule-based systems. = your policy about what to do next at any time; or

436 views • 26 slides

SAT and Model Checking

SAT and Model Checking. Bounded Model Checking (BMC). Biere, Cimatti, Clarke, Zhu, 1999. A.I. Planning problems: can we reach a desired state in k steps? Verification of safety properties: can we find a bad state in k steps? Verification: can we find a counterexample in k steps ?.

419 views • 24 slides

STCON in Directed Unique-Path Graphs

STCON in Directed Unique-Path Graphs. Sampath Kannan Sanjeev Khanna Sudeepa Roy University of Pennsylvania. (Directed) st-connectivity (STCON). t. t. s. directed path from s to t in G?. Questions involving STCON. Known Results NL-complete O(n) space and O(m+n) time (BFS or DFS)

498 views • 23 slides

Adopt Algorithm for Distributed Constraint Optimization

Adopt Algorithm for Distributed Constraint Optimization . Pragnesh Jay Modi Information Sciences Institute & Department of Computer Science University of Southern California http://www.isi.edu/~modi. Distributed Optimization Problem.

301 views • 20 slides

Depth-First Search

G is completely traversed before exploring G and G . 1. 2. 3. Depth-First Search. Idea : Keep going forward as long as there are unseen nodes to be visited. Backtrack when stuck. v. G. 3. G. G. 2. 1. From Computer Algorithms by S. Baase and A. van Gelder.

760 views • 17 slides

Boolean Satisfiability in Electronic Design Automation (EDA )

Boolean Satisfiability in Electronic Design Automation (EDA ). By Kunal P. Ganeshpure. Talk structure. Introduction to Boolean Satisfiability Applications of SAT in EDA CNF equations for logic gates and combinational circuits Backtrack search algorithm. Recursive learning. Conclusion.

359 views • 16 slides

Fast Planning through Planning Graph Analysis

331 views • 16 slides