PPT-Polynomial Time Algorithms

P computational problems that can be solved efficiently ie solved in time n c for some constant c where n input size This is a bit vague Consider an LP max c T. Lecture . 22. : . The P vs. NP question. , . NP-Completeness. Lauren Milne. Summer 2015. Admin. Homework 6 is posted. Due next Wednesday. No partners. Algorithm Design Techniques. Greedy. Shortest path, minimum spanning tree, …. Mrs. . Chernowski. Pre-Calculus. Chris Murphy. Requirements:. At least 3 relative maxima and/or minima. The ride length must be at least 4 minutes. The coaster ride starts at 250 feet. The ride dives below the ground into a tunnel at least once. Algorithms. and Networks 2015/2016. Hans L. . Bodlaender. Johan M. M. van Rooij. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. A. A. What to do if a problem is. (a brief introduction to theoretical computer science). slides by Vincent Conitzer. Set Cover . (a . computational problem. ). We are given:. A finite set S = {1, …, n}. A collection of subsets of S: S. Introduction. Minimum-Mean Cycle Canceling . Algorithm. Repeated Capacity Scaling . Algorithm. Enhanced Capacity Scaling. Algorithm. Summary. Minimum Cost Flow Problem –. Strongly Polynomial Algorithms. Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. Defn. : . Polynomial function. In the form of: . ..  . The coefficients are real numbers.. The exponents are non-negative integers.. The domain of the function is the set of all real numbers.. Definitions. Coefficient. : the numerical factor of each term.. Constant. : the term without a variable.. Term. : a number or a product of a number and variables raised . to a power.. Polynomial. : a finite sum of terms of the form . Quadratic Function. A . quadratic function . is defined by a quadratic or second-degree polynomial.. Standard Form. , . where . a. . ≠ 0. .. Vertex Form. , where a. . ≠ 0..  . Vertex and Axis of Symmetry. Now, we have learned about several properties for polynomial functions. Finding y-intercepts. Finding x-intercepts (zeros). End behavior (leading coefficient, degree). Testing values for zeros/factors (synthetic division) . Section 2.4. Terms. Divisor: . Quotient: . Remainder:. Dividend: . PF. FF .  . Long Division. Use long division to find . divided by . ..  . Division Algorithm for Polynomials. Let . and . be polynomials with the degree of . Objectives:. To approximate . x. -intercepts of a polynomial function with a graphing utility. To locate and use relative . extrema. of polynomial functions. To sketch the graphs of polynomial functions. Standard 15. Graph and analyze polynomial and radical functions to determine:. Domain and range. X and y intercepts. Maximum and minimum values. Intervals of increasing and decreasing. End behavior. With the function: f(x) = . ••»••••• Online Polynomial Regression HomeContents LR LnR ExpR PowR PR MLR MPR NLR More...Contact This page allows performing polynomial regressions (polynomial l