Algorithms in a Nutshell

(^292) | Chapter 9: Computational Geometry Range Queries Given a rectangular rangeRdefined by [xlow,ylow,xhigh,yhigh] and a set ...

Range Queries | 293 Computational Geometry Input/Output Input A set ofnpointsPind-dimensional space and ad-dimensional hypercube ...

(^294) | Chapter 9: Computational Geometry The code shown in Example 9-6 is a modified tree traversal that potentially visits ev ...

Range Queries | 295 Computational Geometry It is difficult to produce sample data sets to show the performance of RANGE QUERY. W ...

(^296) | Chapter 9: Computational Geometry Situation 1: Query region contains all points in the tree We construct a query region ...

Range Queries | 297 Computational Geometry Situation 3: Empty region We construct a query region from a single random point draw ...

(^298) | Chapter 9: Computational Geometry References Akl, Selim G. and Godfried Toussaint, “A Fast Convex Hull Algorithm,”Infor ...

III Chapter 10,When All Else Fails Chapter 11,Epilogue Algorithms in a Nutshell Algorithms in a Nutshell By Gary Pollice, George ...

301 Chapter 10. When All Else Fails............................................................................................. ...

(^302) | Chapter 10: When All Else Fails Approximation Algorithms An approximation algorithm seeks answers that are close to, bu ...

Randomized Algorithms | 303 When All Else Fails Parallel Algorithms A computational process may spawn several computational proc ...

(^304) | Chapter 10: When All Else Fails The expected execution time of this algorithm is That is, the expected number of execut ...

Randomized Algorithms | 305 When All Else Fails Because of the random nature of the trials, it is not at all guaranteed that the ...

(^306) | Chapter 10: When All Else Fails To count the number of exact solutions to the 4-Queens Problem, we expand a search tree ...

Randomized Algorithms | 307 When All Else Fails the 19-Queens Problem is much harder. Since there are 4,968,057,848 nodes at lev ...

(^308) | Chapter 10: When All Else Fails To the lower node of the current random path, we apply the operation of deter- mining h ...

Randomized Algorithms | 309 When All Else Fails Example 10-2. Implementation of Knuth’s randomized estimation of n-Queens proble ...

(^310) | Chapter 10: When All Else Fails Algorithms That Can Be Wrong, but with Diminishing Probability In this section we study ...

Algorithms That Can Be Wrong, but with Diminishing Probability | 311 When All Else Fails Testing Inequality of Databases Suppose ...

(^312) | Chapter 10: When All Else Fails The following protocol assumes that the two problems of Graph Isomorphism and Hamiltoni ...