'Matrix chain multiplication' presentation slideshows

Dynamic Programming Part One

Dynamic Programming Part One. HKOI Training Team 2004. Recurrences. Function defined in terms of itself M(X) = X * M(X-1) F n+2 = F n+1 + F n K n+1 = max{K n-1 +100, K n } One or more base cases are needed M(0) = 1 F 0 = 1, F 1 = 1 K 10 = 100, K 11 = 177. Evaluating recurrences.

638 views • 52 slides

3.4/3.5 The Integers and Division/ Primes and Greatest Common Divisors

3.4/3.5 The Integers and Division/ Primes and Greatest Common Divisors. Let each of a and b be integers. We say that a divides b, in symbols a | b , provided that there exists an integer m for which b=am . Other ways of saying the same thing: a is a divisor of b a is a factor of b

668 views • 52 slides

CSC 413/513: Intro to Algorithms

535 views • 35 slides

Algorithms Analysis lecture 9 Dynamic Programming Matrix Multiplication

Algorithms Analysis lecture 9 Dynamic Programming Matrix Multiplication. Multiplying Matrices. Two matrices, A with ( p x q) matrix and B with ( q x r) matrix, can be multiplied to get C with dimensions p x r, using scalar multiplications. Multiplying Matrices.

593 views • 33 slides

Multiplying Matrices

Multiplying Matrices. Two matrices, A with ( p x q) matrix and B with ( q x r) matrix, can be multiplied to get C with dimensions p x r, using scalar multiplications. Multiplying Matrices. Ex2:Matrix-chain multiplication.

719 views • 32 slides

Matrix Chain Multiplication CLRS 15.2

335 views • 26 slides

Analysis of Algorithms Chapter - 07 Dynamic Programming

Analysis of Algorithms Chapter - 07 Dynamic Programming. This Chapter Contains the following Topics: Introduction What is Dynamic Programming? Elements of Dynamic Programming Matrix-Chain Multiplication Matrix-Chain Multiplication Problem Algorithms Examples. Introduction.

404 views • 23 slides

Dynamic Programming

Dynamic Programming. Carrie Williams. What is Dynamic Programming?. Method of breaking the problem into smaller, simpler sub-problems Start with the smallest sub-problems and combine to produce a solution Similar to Divide and Conquer But uses a bottom-top approach. When is it used?.

153 views • 15 slides

More Dynamic Programming

More Dynamic Programming. Matrix Chain Multiplication. Matrix Chain Multiplication. Given some matrices to multiply, determine the best order to multiply them so you minimize the number of single element multiplications. i.e. Determine the way the matrices are parenthesized.

207 views • 13 slides

CSCI 235 , Fall 2019, Lecture 25 Dynamic Programming

CSCI 235 , Fall 2019, Lecture 25 Dynamic Programming. Dynamic programming is a problem solving technique that, like Divide and Conquer, solves problems by dividing them into subproblems .

209 views • 12 slides