'Smaller problems' presentation slideshows

Dynamic Programming

1.28k views • 110 slides

Recursion

Recursion. Chapter 11. Objectives. become familiar with the idea of recursion learn to use recursion as a programming tool become familiar with the binary search algorithm as an example of recursion become familiar with the merge sort algorithm as an example of recursion.

1.47k views • 107 slides

Dynamic Programming

Dynamic Programming. David Kauchak cs302 Spring 2012. Dynamic programming. One of the most important algorithm tools! Very common interview question Method for solving problems where optimal solutions can be defined in terms of optimal solutions to sub-problems AND

898 views • 68 slides

Lecture 3 Nearest Neighbor Algorithms

Lecture 3 Nearest Neighbor Algorithms. Shang-Hua Teng. What is Algorithm?. A computable set of steps to achieve a desired result from a given input Example: Input: An array A of n numbers Desired result Pseudo-code of Algorithm SUM. Pseudo-code of Algorithm SUM. Complexity:

357 views • 26 slides

Problem Decomposition and Abstraction

Problem Decomposition and Abstraction. Problem Solving. Which one is easier: Solving one big problem, or Solving a number of small problems?. Problem Solving. Which one is easier: Solving one big problem, or Solving a number of small problems?

323 views • 22 slides

Software Life Cycle

Software Life Cycle. Fawzi Emad Chau-Wen Tseng Department of Computer Science University of Maryland, College Park. Software Life Cycle. Problem specification Program design Algorithms and data structures Coding and debugging Testing and verification Documentation and support

344 views • 18 slides

Plot

Plot. Narrative Elements. Plot is a literary term defined as the events that make up a story, particularly as they relate to one another in a pattern, in a sequence through cause and effect, or by coincidence. What is Plot?.

328 views • 14 slides

Support Vector Machines: A Survey

Support Vector Machines: A Survey . Qiang Yang, for ICDM 2006 Panel http://www.cse.ust.hk/~qyang Partially based on slides from Prof Andrew Moore at CMU: http://www.cs.cmu.edu/~awm/tutorials. Problem: Given a set of objects with known descriptive variables, and from known classes, i

358 views • 12 slides

324 views • 8 slides

Drama Terms

377 views • 8 slides

143 views • 3 slides

Margin-based Decomposed Amortized Inference Gourab Kundu, Vivek Srikumar, Dan Roth

Margin-based Decomposed Amortized Inference Gourab Kundu, Vivek Srikumar, Dan Roth. Amortized Inference. General Recipe.

134 views • 1 slides