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Derivatives of Parametric Equations

Derivatives of Parametric Equations

Derivatives of Parametric Equations. Lesson 10.2. Studying Graphs. Recall that a function , y = f(x) is intersected no more than once by a vertical line Other graphs exist that are not functions We seek to study characteristics of such graphs

By aqua
(752 views)

Introduction To Equalization

Introduction To Equalization

Introduction To Equalization. Presented By : Guy Wolf Roy Ron Guy Shwartz (Adavanced DSP, Dr.Uri Mahlab) HAIT 14.5.04. TOC. Communication system model Need for equalization ZFE MSE criterion LS LMS Blind Equalization – Concepts Turbo Equalization – Concepts MLSE - Concepts.

By crystal
(354 views)

Meeting 1 Finite Mixture Models

Meeting 1 Finite Mixture Models

Meeting 1 Finite Mixture Models. Mixtures of univariate processes such as normals, Poissons, etc. Often used to account for “over-dispersion.” B Mixtures of product binomial or product multinomial processes (otherwise known as Latent Class Analysis).

By kimama
(154 views)

Maximum likelihood (ML) and likelihood ratio (LR) test

Maximum likelihood (ML) and likelihood ratio (LR) test

Maximum likelihood (ML) and likelihood ratio (LR) test. Conditional distribution and likelihood Maximum likelihood estimator Information in the data and likelihood Observed and Fisher’s information Likelihood ratio test Exercise. Introduction.

By deon
(226 views)

Ch. 4: Velocity Kinematics

Ch. 4: Velocity Kinematics

Ch. 4: Velocity Kinematics. Velocity Kinematics. We want to relate end-effector linear and angular velocities with the joint velocities First we will discuss angular velocities about a fixed axis Second we discuss angular velocities about arbitrary (moving) axes

By hedda
(217 views)

2008 General Meeting Assemblée générale 2008 Toronto, Ontario

2008 General Meeting Assemblée générale 2008 Toronto, Ontario

Canadian Institute of Actuaries. L’Institut canadien des actuaires. 2008 General Meeting Assemblée générale 2008 Toronto, Ontario. Key standards for insurance.

By shaw
(175 views)

Mathematical Methods

Mathematical Methods

Mathematical Methods. A review and much much more!. Trigonometry Review. First, recall the Pythagorean theorem for a 90 0 right triangle a 2 +b 2 = c 2. c. b. a. Trigonometry Review. Next, recall the definitions for sine and cosine of the angle q . sin q = b/c or

By zitomira
(149 views)

IT1005

IT1005

IT1005. Lab session on week 10 (6 th meeting) Roughly 3 more weeks to end of the semester! Busy weeks for IT1005, but hang on…!. Lab 6 – Quick Check. Have you all received my reply for lab 6? My reply should contains:

By quang
(131 views)

ECE 472/572 - Digital Image Processing

ECE 472/572 - Digital Image Processing

ECE 472/572 - Digital Image Processing. Lecture 4 - Image Enhancement - Spatial Filter 09/06/11. Introduction Image format (vector vs. bitmap) IP vs. CV vs. CG HLIP vs. LLIP Image acquisition Perception Structure of human eye rods vs. conss (Scotopic vision vs. photopic vision)

By Jims
(210 views)

Chapter 2 Economic optimization

Chapter 2 Economic optimization

Chapter 2 Economic optimization. OVERVIEW. Economic Optimization Process Expressing Economic Relations Marginal Analysis in Decision Making Incremental Concept in Economic Analysis. 一 . Economic relationship. 1.Ways to show economic relationship (variables) Table. Graph. Equation

By marcellus
(32 views)

International Financial Reporting Standards (IFRS)

International Financial Reporting Standards (IFRS)

IFRS and Indian Accounting Standards. International Financial Reporting Standards (IFRS) Indian Accounting Standards

By tex
(253 views)

Differentiating “Combined” Functions ---Part I

Differentiating “Combined” Functions ---Part I

Differentiating “Combined” Functions ---Part I. Constant Multiples, Sums and Differences. Algebraic Combinations. We have seen that it is fairly easy to compute the derivative of a “simple” function using the definition of the derivative.

By sera
(92 views)

Introduction to Optimization (Part 1)

Introduction to Optimization (Part 1)

Introduction to Optimization (Part 1). Daniel Kirschen. L. A. B. C. Economic d ispatch problem. Several generating units serving the load What share of the load should each generating unit produce? Consider the limits of the generating units Ignore the limits of the network.

By lydie
(214 views)

Derivatives

Derivatives

Derivatives. What is a derivative? . Mathematically, it is the slope of the tangent line at a given pt. Scientifically, it is the instantaneous velocity of a particle along a line at time, t. Or the instantaneous rate of change of a fnc . at a pt. We write:.

By yelena
(119 views)

EKF , UKF Pieter Abbeel UC Berkeley EECS

EKF , UKF Pieter Abbeel UC Berkeley EECS

EKF , UKF Pieter Abbeel UC Berkeley EECS Many slides adapted from Thrun , Burgard and Fox, Probabilistic Robotics. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A A A A A A. Kalman Filter.

By fordon
(170 views)

PHY1012F ROTATION II

PHY1012F ROTATION II

PHY1012F ROTATION II. Gregor Leigh gregor.leigh@uct.ac.za. ROTATIONAL ENERGY. Use the laws of conservation of mechanical energy and angular momentum to solve rotational problems, including those involving rolling motion.

By tilden
(114 views)

Bruce Mayer, PE Licensed Electrical & Mechanical Engineer BMayer@ChabotCollege

Bruce Mayer, PE Licensed Electrical & Mechanical Engineer BMayer@ChabotCollege

Chabot Mathematics. §3.5 Added Optimization. Bruce Mayer, PE Licensed Electrical & Mechanical Engineer BMayer@ChabotCollege.edu. 3.4. Review §. Any QUESTIONS About §3.4 → Optimization & Elasticity Any QUESTIONS About HomeWork §3.4 → HW-16. §3.5 Learning Goals.

By barr
(47 views)

Derivatives of the inverse trigonometric functions

Derivatives of the inverse trigonometric functions

Section 3.8. Derivatives of the inverse trigonometric functions. Derivatives of Inverse Functions. Theorem: If is differentiable at every point of an interval I and is never zero on I , then has an inverse and is differentiable at every point of the interval I.

By tamas
(97 views)

3.5 – Derivative of Trigonometric Functions

3.5 – Derivative of Trigonometric Functions

3.5 – Derivative of Trigonometric Functions. HW: Complete 3.5 Part 2 WKSH By the end of today you should be able to understand the derivatives of all of the trigonometric functions. Derivative of sine. Derivative of cosine. Derivative of tangent. Derivative of secant. Derivative of cosecant.

By wesley
(216 views)

Local and Local-Global Approximations

Local and Local-Global Approximations

Local and Local-Global Approximations. Local algebraic approximations Variants on Taylor series Local-Global approximations Variants on “fudge factor”. Local algebraic approximations. Linear Taylor series Intervening variables Transformed approximation Most common: y i =1/x i.

By oprah
(136 views)

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