'Int col' presentation slideshows

Recursion

Recursion. Basic Recursions. Basic Recursions. Break a problem into smaller identical problems Each recursive call solves an identical but smaller problem. Stop the break-down process at a special case whose solution is obvious, (termed a base case )

427 views • 35 slides

CSC 421: Algorithm Design & Analysis Spring 2013

CSC 421: Algorithm Design & Analysis Spring 2013. Backtracking greedy vs. backtracking (DFS) greedy vs. generate & test examples: N-queens, 2-D gels, Boggle branch & bound problem characteristics aside: game trees. Greed is good?.

422 views • 32 slides

CSC 421: Algorithm Design & Analysis Spring 2014

CSC 421: Algorithm Design & Analysis Spring 2014. Backtracking greedy vs. backtracking (DFS) greedy vs. generate & test examples: N-queens, 2-D gels, Boggle branch & bound problem characteristics aside: game trees. Greed is good?.

323 views • 32 slides

CSC 427: Data Structures and Algorithm Analysis Fall 2008

CSC 427: Data Structures and Algorithm Analysis Fall 2008. Problem-solving approaches divide & conquer greedy backtracking examples: N-queens, 2-D gels, Boggle. Divide & Conquer.

312 views • 20 slides

CSC 427: Data Structures and Algorithm Analysis Fall 2007

CSC 427: Data Structures and Algorithm Analysis Fall 2007. Problem-solving approaches divide & conquer greedy backtracking examples: N-queens, 2-D gels, Boggle. Divide & Conquer.

202 views • 20 slides

CSC 427: Data Structures and Algorithm Analysis Fall 2007

CSC 427: Data Structures and Algorithm Analysis Fall 2007. Problem-solving approaches divide & conquer greedy backtracking examples: N-queens, 2-D gels, Boggle. Divide & Conquer.

204 views • 20 slides

363 views • 19 slides

CSC 427: Data Structures and Algorithm Analysis Fall 2006

CSC 427: Data Structures and Algorithm Analysis Fall 2006. Problem-solving approaches divide & conquer greedy backtracking examples: N-queens, Boggle, 2-D gels hw6: Sudoku solver. Divide & Conquer.

249 views • 17 slides

CSE 143 Lecture 17

CSE 143 Lecture 17. Recursive Backtracking slides created by Marty Stepp http://www.cs.washington.edu/143/. Exercise.

317 views • 15 slides

ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Feb 1, 2011 SharedMem.ppt

Using Shared memory. These notes will demonstrate the improvements achieved by using shared memory. ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Feb 1, 2011 SharedMem.ppt. Approach. Objective: As with memory coalescing demo, to load numbers into a two-dimensional array

273 views • 12 slides

ITCS 4/5010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 23, 2013 SharedMem

Using Shared memory. These notes will demonstrate the improvements achieved by using shared memory, with code and results running on coit-grid06.uncc.edu. ITCS 4/5010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 23, 2013 SharedMem.ppt. Approach.

227 views • 12 slides

Terrain

Terrain. Basic Terrain Rendering. ??? ???? ??? ???? ?? ???? ???? ???? ??? ?? , ??? ? ?? ??? ?? ?? . ?? ??? ? ??? ?? ???? ??? ??? ??? (View Frustum Culling), ?? ?? ??? ? ???? ??? (LOD:Level of Detail) ??? ????. Terrain Representation. Height Map

410 views • 12 slides

2-D Arrays

2-D Arrays. Overview Why do we need Multi-dimensional array 2-D array declaration Accessing elements of a 2-D array Declaration using Initializer List Examples using 2-D array. Why Multi-Dimensional Arrays?.

232 views • 10 slides

Warm up

Warm up. Determine the value stored in each of the following: gradeTable [ 0 ][ 0 ] gradeTable [ 1 ][ 1 ] gradeTable [ 3 ][ 4 ] gradeTable [ 5 ][ 2 ]. More 2-D Arrays. Different Numbers of Cells per Row. Usually you think of a 2D array as a table

158 views • 6 slides