'Find max' presentation slideshows

Greedy Algorithms: Introduction

Greedy Algorithms: Introduction. http://iti.wtf Algorithms and Data Structures. Artem A. Golubnichiy artem@golubnichij.ru Department of Software of Computer Facilities and Automated Systems Katanov Khakass State University. STRUCTURE OF THE CLASS. Maximize Your Salary

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Algorithms Problem Solving

Algorithms Problem Solving. Readings: [SG] Ch. 2 Chapter Outline: Chapter Goals What are Algorithms Pseudo-Code to Express Algorithms Some Simple Algorithms [SG] Ch. 2.3 Computing Array-Sum Structure of Basic Iterative Algorithm Examples of Algorithmic Problem Solving.

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Regular expressions

Regular expressions. Perl provides a pattern-matching engine Patterns are called regular expressions They are extremely powerful probably Perl's strongest feature, compared to other languages Often called "regexps" for short. Motivation: N-glycosylation motif.

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Andy D. Digh Friday, May 29th, 1998

Passing Function Arguments by Reference : A Sample Lesson for CS 1 using the C Programming Language. Andy D. Digh Friday, May 29th, 1998. Passing Function Arguments by Value.

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Programming Concepts Part C GOTO_Beacon ENGR 10 Introduction to Engineering

Programming Concepts Part C GOTO_Beacon ENGR 10 Introduction to Engineering. Download the GOTO BEACON program from the E10 website , Robot lab section,. New controller (Cortex). Main() for GOTO_Beacon Program. Note: you need to change freq for the beacon you want to find!. Global

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Linear Matrix Inequalities in System and Control Theory

Linear Matrix Inequalities in System and Control Theory. Solmaz Sajjadi Kia Adviser: Prof. Jabbari System, Dynamics and Control Seminar UCI, MAE Dept. April 14, 2008. Linear Matrix Inequality (LMI). Set of n polynomial inequalities in x , e.g., Convex constraint on x.

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Programming Training

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Finding Body Parts with Vector Processing

Finding Body Parts with Vector Processing. Cynthia Bruyns Bryan Feldman CS 252. Introduction. Take existing algorithm for tracking human motion, speed up by computing on the GPU. Demonstrate that many vision algorithms are prime candidates for using vector processing. Demo.

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Math/CSE 1019C: Discrete Mathematics for Computer Science Fall 2012

Math/CSE 1019C: Discrete Mathematics for Computer Science Fall 2012. Jessie Zhao jessie@cse.yorku.ca Course page: http://www.cse.yorku.ca/course/1019. Introduction to Algorithms. Why algorithms? Consider the problems as special cases of general problems.

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Chapter 10 Sec 1

Chapter 10 Sec 1. Graphing Quadratic Functions. The seven steps to graphing. f ( x ) = ax 2 + bx + c. Find a = , b = , c = . Find y intercept = (0, c ). Find Axis of Symmetry Find Vertex ( AOS , __ ) Plug AOS in function to find y. Look at a is it (+) min or (-) max

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Chapter 6 Sec 1

Chapter 6 Sec 1. Graphing Quadratic Functions. The seven steps to graphing. f ( x ) = ax 2 + bx + c. Find a = , b = , c = . Find y intercept = (0, c ). Find Axis of Symmetry Find Vertex ( AOS , __ ) Plug AOS in function to find y. Look at a is it (+)min or (-)max

281 views • 12 slides

Weeks 7-8

Weeks 7-8. Memory allocation Pointers functions Complex structures with pointers, structures, etc Dynamic structures. Memory Allocation. Where we have dealt with memory issues: Address arithmetic: we had to use array to get memory

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16.6 Applying the Derivative

16.6 Applying the Derivative. The derivative can tell us all sorts of things in regards to physical situations. One of these is the instantaneous rate of change. Def: The instantaneous rate of change of y = f ( x ) per unit change in x at x 0 is:

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