'Cost path' diaporamas de présentation

DD* Lite: Efficient Incremental Search with State Dominance

DD* Lite: Efficient Incremental Search with State Dominance. Paper by G. Ayorkor Mills-Tettey, Anthony Stentz, and M. Bernardine Dias. Presented on 1 October 2007 in 16-735 Motion Planning by Ross A. Knepper and Sean Hyde. 1. 2. 3. 4. 5. D* Lite.

1.55k views • 134 slides

Chapter 4 roadmap

1.02k views • 93 slides

ECE544: Communication Networks-II, Spring 2009

978 views • 87 slides

Wireless Networking & Mobile Computing Network Layer Overview ECE 256

Wireless Networking & Mobile Computing Network Layer Overview ECE 256. Romit Roy Choudhury Dept. of ECE and CS. transport segment from sending to receiving host on sending side encapsulates segments into datagrams on rcving side, delivers segments to transport layer

869 views • 79 slides

Search Algorithms for Discrete Optimization Problems

Search Algorithms for Discrete Optimization Problems. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar To accompany the text ``Introduction to Parallel Computing'', Addison Wesley, 2003. Topic Overview . Discrete Optimization - Basics Sequential Search Algorithms

777 views • 65 slides

CSCI-1680 Network Layer: Intra-domain Routing

512 views • 40 slides

Math Review

Math Review. Why do we need math in a data structures course?. To Analyze data structures and algorithms Deriving formulae for time and memory requirements Will the solution scale? Quantify the results Proving algorithm correctness.

631 views • 39 slides

Informed Search

CMSC 471. Informed Search. Chapter 4. Prof. Marie desJardins Fall 2009. Adapted from materials by Tim Finin, Eric Eaton, and Charles R. Dyer. Outline. Heuristic search Best-first search Greedy search Beam search A, A* Examples Memory-conserving variations of A* Heuristic functions

558 views • 38 slides

Review: Search problem formulation

Review: Search problem formulation. Initial state Actions Transition model Goal state (or goal test ) Path cost What is the optimal solution? What is the state space?. Example 1: Romania. On vacation in Romania; currently in Arad Flight leaves tomorrow from Bucharest. Initial state

500 views • 37 slides

Review: Search problem formulation

Review: Search problem formulation. Initial state Actions Transition model Goal state (or goal test ) Path cost What is the optimal solution? What is the state space?. Example 1: Romania. On vacation in Romania; currently in Arad Flight leaves tomorrow from Bucharest. Initial state

473 views • 37 slides

On the Cost/Delay Tradeoff of Wireless Delay Tolerant Geographic Routing

On the Cost/Delay Tradeoff of Wireless Delay Tolerant Geographic Routing. Argyrios Tasiopoulos MSc , student, AUEB. Introduction. Many networks are characterized by: Intermittent Connectivity. Long or variable delays. In both cases traditional TCP/IP protocols fail.

546 views • 36 slides

Data and Computer Communications

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CMSC 671 Fall 2001

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Computer Networks Layering and Routing

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Bridging

Bridging. LAN Properties. Exploit physical proximity. Typically there is a limitation on the physical distance between the nodes E.g. to collect collisions in a contention based network E.g. to limit the overhead introduced by token passing or slot reservations

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Network layer functions

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A* Search Algorithm

A* Search Algorithm. -- Yinfei Yang. What is A* Search Algorithm How A* Algorithm works The A* algorithm in our project. What is A* Search Algorithm. What is A* search algorithm. Description:

891 views • 27 slides

A* Search Algorithm

A* Search Algorithm. -- Yinfei Yang. What is A* Search Algorithm How A* Algorithm works The A* algorithm in our project. What is A* Search Algorithm. What is A* search algorithm. Description:

896 views • 27 slides

NAT: Network Address Translation

NAT: Network Address Translation. rest of Internet. local network (e.g., home network) 10.0.0/24. 10.0.0.1. 10.0.0.4. 10.0.0.2. 138.76.29.7. 10.0.0.3. Datagrams with source or destination in this network have 10.0.0/24 address for source, destination (as usual).

437 views • 26 slides

Topological Sorting and Least-cost Path Algorithms

Topological Sorting and Least-cost Path Algorithms. undershorts. socks. watch. pants. shoes. shirt. belt. tie. jacket. Topological Sort. Topological sort of a dag G = (V, E) Linear ordering A of all vertices from V If edge ( u,v ) ? E => A[u] < A[v].

364 views • 17 slides