'Backtracking' presentation slideshows

John Muir Part 2

1.05k views • 87 slides

Constraint Satisfaction Problems

803 views • 58 slides

Chapter 6

Chapter 6. Applications of Constraint Programming and Local Search. Outline. Employee Scheduling Exam Timetabling Traveling Salesman Problem Car Sequencing Job-Shop Scheduling. There are several real-world applications of CSPs, especially constraint-based scheduling .

722 views • 56 slides

Lecture #7, Feb. 5, 2007

Lecture #7, Feb. 5, 2007. Grammars Top down parsing Transition Diagrams Ambiguity Left recursion Refactoring by adding levels Recursive descent parsing Predictive Parsers First and Follow Parsing tables. Assignments. Reading Chapter 3 Page 73-106 Quiz on Wednesday Mid Term exam

556 views • 43 slides

Input Validation with Regular Expressions

Input Validation with Regular Expressions. COEN 351. Input Validation. Security Strategies Black List List all things that are NOT allowed List is difficult to create Adding insecure constructs on a continuous basis means that the previous version was unsafe

518 views • 41 slides

CS20a: NP problems

CS20a: NP problems. The SAT problem Graph theory. Time-bounded TMs. All tapes are 2-way infinite M is DTIME(T(n)) if M is deterministic For any input of length n, M takes at most T(n) steps M is NTIME(T(n)) Nondeterministic case. NP problems.

652 views • 37 slides

CS344 : Introduction to Artificial Intelligence

544 views • 37 slides

COT 5407: Introduction to Algorithms

COT 5407: Introduction to Algorithms. Tao Li ECS 318; Phone: x6036 taoli@cs.fiu.edu http://www.cs.fiu.edu/~taoli/class/COT5407-F09/index.html. Why should I care about Algorithms ?. Cartoon from Intractability by Garey and Johnson. More questions you should ask.

515 views • 33 slides

Backtrack Algorithm for Listing Spanning Trees R. C. Read and R. E. Tarjan (1975)

Backtrack Algorithm for Listing Spanning Trees R. C. Read and R. E. Tarjan (1975). Presented by Levit Vadim. Abstract. Describe and analyze backtrack algorithm for listing all spanning trees Time requirement: polynomial in |V|, |E| and linear in |T|

426 views • 29 slides

Resolution Based Search

Resolution Based Search. John Hooker GSIA Feb 2003. Previous Work. This talk generalizes & unifies contributions of: Gaschnig 1977 (backjumping, backmarking, backchecking) Ginsberg 1993 (dynamic backtracking) McAllester 1993 (partial order dynamic backtracking)

369 views • 28 slides

Comp 205: Comparative Programming Languages

Comp 205: Comparative Programming Languages. Declarative Programming Languages Logic Programming Horn-Clause Logic Prolog Lecture notes, exercises, etc., can be found at: www.csc.liv.ac.uk/~grant/Teaching/COMP205/. Declarative vs Imperative. Declarative Languages

713 views • 24 slides

Using JavaCC

Using JavaCC. CMSC 431. String stream. Scanner generator. Java scanner program. NFA. RE. DFA. Minimize DFA. Simulate DFA. Automating Lexical Analysis Overall picture. Tokens. Building Faster Scanners from the DFA. Table-driven recognizers waste a lot of effort

397 views • 22 slides

CSP: Definition, Creation, and Algorithms

CSP: Definition, Creation, and Algorithms. Mr. Tianbing Lin t.lin@ieee.org Dr. Goodwin Scott University of Windsor. Outline. Introduction of Constraint Satisfaction Problem Algorithms: Backtracking, Forward Checking, Back Jump, Dynamic Backtracking Evaluation: Random CSP, N-Queen

386 views • 21 slides

Book Review by Mr. S. Anand Reddy

287 views • 19 slides

What is Software Design?

What is Software Design?. Systems Development Life-Cycle. Planning Analysis Design Implementation. Design. Software Design. The main aim of design is to develop a solution to a problem. Each problem is specified in the form of a description of the requirements.

383 views • 18 slides

Memory Technology Comparison

Memory Technology Comparison. Silicon on insulator technology ( SOI ) refers to the use of a layered silicon-insulator-silicon substrate in place of conventional silicon substrates in semiconductor manufacturing.

383 views • 17 slides

Chapter 10: Algorithm Design Techniques

Mark Allen Weiss: Data Structures and Algorithm Analysis in Java. Chapter 10: Algorithm Design Techniques. Lydia Sinapova, Simpson College. Algorithm Design Techniques. Brute Force Greedy Algorithms Divide and Conquer Dynamic Programming Transform and Conquer Backtracking

783 views • 15 slides

CPSC 335

CPSC 335. Greedy methods and Backtracking Dr. Marina Gavrilova Computer Science University of Calgary Canada. Dynamic programming. Optimal structure: optimal solution to problem consists of optimal solutions to subproblems Overlapping subproblems : few subproblems in total,

170 views • 14 slides

Building Java Programs

Building Java Programs. Appendix R Recursive backtracking. Backtracking. Useful to solve problems that require making decisions Insufficient information to make a thoughtful choice Each decision leads to new choices Some sequence of choices will be a solution

220 views • 11 slides

Challenges of Playing Bridge Well

Challenges of Playing Bridge Well. http://www.ny-bridge.com/allevy/Montreal/indexMenton.html Bridge requires a lot of real-time decision making in uncertain environments.

165 views • 3 slides