'1 matrix' diaporamas de présentation

Solution Strategies 1. PROGRAMMING WITH MATLAB

Solution Strategies 1. PROGRAMMING WITH MATLAB. MATLAB Fundamentals. MATLAB. Matrix Laboratory. Problem-Solving Methodology. State the problem clearly Describe the Input/Output (I/O) Work the problem by hand Algorithm - Numerical Method Develop a MATLAB Solution Debugging and Testing

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Longest common subsequence

Longest common subsequence. INPUT: two strings OUTPUT: longest common subsequence. ACTGAACTCTGTGCACT TGACTCAGCACAAAAAC. Longest common subsequence. INPUT: two strings OUTPUT: longest common subsequence. AC TGA A CTC T G TG CAC T TGACTC A GCAC AAAAAC. Longest common subsequence.

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Longest common subsequence

Longest common subsequence. INPUT: two strings OUTPUT: longest common subsequence. ACTGAACTCTGTGCACT TGACTCAGCACAAAAAC. Longest common subsequence. INPUT: two strings OUTPUT: longest common subsequence. AC TGA A CTC T G TG CAC T TGACTC A GCAC AAAAAC. Longest common subsequence.

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Alternating Sign Matrices and Symmetry

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Linear regression models in matrix terms

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Mathematics for Computer Graphics

Mathematics for Computer Graphics. Lecture Summary. Matrices Some fundamental operations Vectors Some fundamental operations Geometric Primitives: Points, Lines, Curves, Polygons. 2D Modeling Transformations. Modeling Coordinates. Scale Translate. y. x. Scale Rotate Translate.

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GRAPHS AND MATRICES

GRAPHS AND MATRICES. Prof. B.Basavanagoud Department of Mathematics Karnatak University Dharwad-580 003 Karnataka, India email: b.basavanagoud@gmail.com. Diagrams of a road map, a family tree and chemical compound are as shown

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Lecture 38-39

Lecture 38-39. Matrix Multiplication Chains 20.2.2. n. A(i,k) B(k,j). C(i,j) =. k = 1. Matrix Multiplication Chains. Multiply an m x n matrix A and an n x p matrix B to get an m x p matrix C. We shall use the number of multiplications as our complexity measure.

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3.1 Determinants The Laplace Expansion

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Unit 39 Matrices

Unit 39 Matrices. Unit 39. 39.1 Matrix Additional and Subtraction. If a matrix has m rows and n columns, we say that its dimensions are m x n . For example. is a 2 x 2 matrix. ?. is a 2 x 3 matrix. ?.

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Introduction to MATLAB Session 1

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Introduction to MATLAB Session 1

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Dynamic Programming

Dynamic Programming. Steps. View the problem solution as the result of a sequence of decisions. Obtain a formulation for the problem state. Verify that the principle of optimality holds. Set up the dynamic programming recurrence equations.

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MATLAB Tutorial

MATLAB Tutorial. Dmitry Drutskoy Some material borrowed from the departmental MATLAB info session by Philippe Rigollet Kevin Wayne. Overview. Getting MATLAB set up Scalar/matrix creation and operations MATLAB programming Plotting. Installation.

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Dynamic Programming (DP)

Dynamic Programming (DP). Three Steps: Initialization Matrix fill (scoring) Traceback (alignment) Global Alignment: Needleman-Wunsch Local Alignment: Smith-Waterman. G A A T T C A G T T A (sequence #1) G G A T C G A (sequence #2). http://www.avatar.se/molbioinfo2001/dynprog/dynamic.html.

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Warm up

Warm up. Solve this system of equations using an augmented matrix: 2x ? 3y ? z = ?7 ?x + 2y + z = 6 9x ? 4y + 4z = 5. Warm-Up. Give the dimensions of each matrix. 2). 1). Identify the entry at each location of the matrix below. 3) b 12. 4) b 21. 5) b 32.

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Presenter ? Ying-Yu Chen Authors: Ying-Yu Chen, Justie Su-Tzu Juan

A Study of ( k, n )-threshold Secret Image Sharing Schemes in Visual Cryptography without Expansion. Presenter ? Ying-Yu Chen Authors: Ying-Yu Chen, Justie Su-Tzu Juan. Department of Computer Science and Information Engineering National Chi Nan University Puli, Nantou Hsien, Taiwan .

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Advanced Research Methods II 03/25/2009

Advanced Research Methods II 03/25/2009. General Linear Models (GLM). Topic Overview. The Basic Equation for GLM Analysis Methods Subsumed Under GLM ANOVA (One-way and Factorial) ANCOVA Regression MANOVA and Discriminant Analysis Repeated Measures ANOVA Multivariate Regression

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The decidability of Presburger Arithmetic

The decidability of Presburger Arithmetic. By Guillermo Guillen 04/13/05. Dr. Smith COT 6421 FIU Spring 2005. Theorem (Decidability of Presburger Arithmetic, 1929 Warsaw Pol.) : Th(N, + ) is decidable, where Th(N, +) is the set of true

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4-3: Matrix Multiplication

Essential Question: Unfortunately, no one can be told how to calculate a matrix. You have to do it yourself. 4-3: Matrix Multiplication. 4-3: Multiplying Matrices. Two matrices can be multiplied together if the number of columns from A is equal to the number of rows of B.

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