'Input array' presentation slideshows

272: Software Engineering Fall 2008

272: Software Engineering Fall 2008. Instructor: Tevfik Bultan Lecture 10: Testing, Automated Testing. Finding Errors in Software. We discussed various approaches to finding errors in programs Static analysis techniques and tools such as automated theorem proving, ESC/Java

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Lecture #5

Lecture #5. Heap Sort. Outline. This topic covers the simplest Q ( n lg ( n )) sorting algorithm: heapsort We will: define the strategy analyze the run time convert an unsorted list into a heap cover some examples. Heap.

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Arrays

Arrays. Introduction. Introduction. In scientific and engineering computing, it is very common to need to manipulate ordered sets of values, such as vectors and matrices .

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ICS103: Programming in C 7 : Arrays

ICS103: Programming in C 7 : Arrays. Muhamed F. Mudawar. Outline. Declaring, Initializing, and Indexing Arrays Using Loops for Sequential Array Access Using Array Elements as Function Arguments Array Arguments Partially Filled Arrays. What is an Array?.

646 views • 41 slides

Compiling Array Assignments

Compiling Array Assignments. Allen and Kennedy, Chapter 13. Fortran 90. Fortran 90: successor to Fortran 77 Slow to gain acceptance: Need better/smarter compiler techniques to achieve same level of performance as Fortran 77 compilers

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Data Structure and Algorithms Design

Data Structure and Algorithms Design . Dr. Maheswari Karthikeyan Lecture2. Asymptotic Notations. A way to describe behavior of functions in the limit How we indicate running times of algorithms Describe the running time of an algorithm as n grows to ?

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Radix Sorting

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Introduction to Matlab

Introduction to Matlab. Outline:. What is Matlab? Matlab Screen Variables, array, matrix, indexing Operators (Arithmetic, relational, logical ) Display Facilities Flow Control M-Files Writing User Defined Functions Conclusion. Matlab. High Level Languages such as C, Pascal etc.

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Heapsort

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Analysis of Algorithms CS 477/677

Analysis of Algorithms CS 477/677. Instructor: Monica Nicolescu Lecture 8. i < k ? search in this partition. i > k ? search in this partition. General Selection Problem. Select the i-th order statistic ( i-th smallest element) form a set of n distinct numbers Idea:

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Analysis of Algorithms CS 477/677

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Comparison of PDE-based, Gaussian and Wavelet Approaches for Enhancing PET Images

Comparison of PDE-based, Gaussian and Wavelet Approaches for Enhancing PET Images . By: Abeer Mohtaseb Najla Bazaya Oraib Horini Supervised by: Dr.Musa Alrefaya. Contents:. Introduction Study Objectives Study Importance Methodology Study Schedule Image De-noising. Introduction .

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??? ?????. ??? joseph.deng@gmail.com http://www.ywdeng.idv.tw. ??. ???? ????? ???? ?????? ????. ????. ??????? ????? key ??. ??????. $products = array( " Tires " , " Oil " , " Spark Plugs " ); array() ???????????? $products[0] ? " Tires " $products[1] ? " Oil "

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An Array-Based Algorithm for Simultaneous Multidimensional Aggregates

An Array-Based Algorithm for Simultaneous Multidimensional Aggregates. By Yihong Zhao, Prasad M. Desphande and Jeffrey F. Naughton Presented by Kia Hall for CIS 661 (taught by Professor Megalooikonomou). Outline of Presentation. Purpose of Paper ROLAP vs. MOLAP systems Array Storage

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Announcements

Announcements . HW5 due tonight Last day for turn in is tomorrow! Review session in class on Wednesday Rather than tomorrow at 11:30. CSE373: Data Structures & Algorithms Problem Solving. Summer 2016, Hunter Zahn Slides thanks to Kevin Quinn. Tools at our Disposal.

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NMD202 Web Scripting

NMD202 Web Scripting. Week2. Web site. http://learnline.cdu.edu.au/units/webscripting. What we will cover today. Scope of Variables Predefined variables Exercises Array Functions Exercises Includes Exercises. Scope of variables. Function test() { $a=12 $b=13;

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Components of Scientific Programming

Components of Scientific Programming. Definition of problem Physical/mathematical formulation Development of computer code ( Focus today ) Development of logic (e.g., flowchart) Assembly of correct lines of code Testing and troubleshooting Visualization of results Optimization of code

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Merge Sort (Analysis )

Introduction. Merge Sort (Analysis ). Design and Analysis of Algorithms I. Running Time of Merge Sort. Claim: For every input array of numbers, Merge Sort produces a sorted output array and uses operations. Proof of claim (assuming n = power of 2):.

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6 Dynamic programming

6 Dynamic programming In the preceding chapters we have seen some elegant design principles.such as divide- andconquer , graph exploration, and greedy choice.that yield denitive algorithms for a variety

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