'Complex functions' presentation slideshows

Contents

Contents. 17.1 Complex Numbers 17.2 Powers and Roots 17.3 Sets in the Complex Plane 17.4 Functions of a Complex Variable 17.5 Cauchy-Riemann Equations 17.6 Exponential and Logarithmic Functions 17.7 Trigonometric and Hyperbolic Functions 17.8 Inverse Trigonometric and Hyperbolic Functions.

1.42k views • 102 slides

PSY 312: Brain and Behavior

PSY 312: Brain and Behavior. Dr. Mark Prendergast Office: B449 BBSRB (on the corner of Virginia and Limestone St.) Office hours: by appointment Telephone: 257-6120 e-mail: prender@email.uky.edu Tracy Butler, M.S. Office: 448-D BBSRB Office hours: by appointment

854 views • 68 slides

S parse K ernel M achines

Christopher M. Bishop, Pattern Recognition and Machine Learning. S parse K ernel M achines. Outline. Introduction to kernel methods Support vector machines (SVM) Relevance vector machines (RVM) Applications Conclusions. Supervised Learning.

626 views • 52 slides

Implicit Differentiation

792 views • 50 slides

Chapter 28

Chapter 28. Cerebrovascular Accident. Learning Objectives. Discuss the risk factors for cerebrovascular accident (CVA). Identify the two major types of CVA. Describe the pathophysiology, signs and symptoms, and medical treatment for each type of CVA.

824 views • 46 slides

Bruce Mayer, PE Registered Electrical & Mechanical Engineer BMayer@ChabotCollege.edu

Engr/Math/Physics 25. Chp3 MATLAB Functions: Part1. Bruce Mayer, PE Registered Electrical & Mechanical Engineer BMayer@ChabotCollege.edu. Learning Goals. Understand the difference between Built-In and User-Defined Functions Write User Defined Functions

553 views • 44 slides

714 views • 35 slides

The Nervous System

The Nervous System . Nervous System Organization. All animals must be able to respond to environmental stimuli - Sensory receptors = Detect stimulus - Motor effectors = Respond to it -The nervous system links the two -Consists of neurons and supporting cells.

631 views • 31 slides

Kingdoms of the Living World

1.06k views • 28 slides

Timer Products

Timer Products. Multitechnology. COMMUNICATING. PROCESSING. ACTUATING. PROCESSING. SENSING. COMMUNICATING. SOLUTIONS. Multitechnology. COMMUNICATING. ACTUATING. ACTUATING. PROCESSING. SENSING. COMMUNICATING. SOLUTIONS. Processing. Timers Cam timers. Timers.

379 views • 28 slides

The Transmission Lines

The Transmission Lines. Definition: Structures used to transmit energy or signal in the form of guided-wave electromagnetic fields from one place to another Modeling: Distributed-element model Electromagnetic model Key Concepts: Waves and properties. Different Types of Transmission Lines.

1.1k views • 25 slides

835 views • 24 slides

Limits cont.

Limits cont. Evaluating them- Numerically, Anallyitically and Graphically. 1.3 Properties of Limits :. Properties :. Scalar multiple Sum or difference Product Quotient Power . Scalar multiple :.

327 views • 22 slides

Application to Graduation

Application to Graduation. This is a rough guide to the options available to students on the 16 different courses available in the Department of Mathematical Sciences.

338 views • 21 slides

Inverse Laplace Transforms

768 views • 19 slides

Nonsinusoidal Waveforms

Nonsinusoidal Waveforms. Objective of Lecture. Introduce several nonsinusoidal waveforms including Impulse waveforms Step functions Ramp functions Convolutions Pulse and square waveforms Sawtooth and triangular w aveforms

507 views • 18 slides

BioMEMS, Bio-Nanotechnology, and Agricultural Research

BioMEMS, Bio-Nanotechnology, and Agricultural Research. Michael R. Ladisch, Rashid Bashir, Arun Bhunia Laboratory of Renewable Resources Engineering, Departments of ABE, ECE, BME and Food Science Schools of Agriculture and Engineering Purdue University. Multi-disciplinary. Agriculture.

725 views • 17 slides

Orthogonal Functions and Fourier Series

Orthogonal Functions and Fourier Series. Vector Spaces. Set of vectors Closed under the following operations Vector addition: v 1 + v 2 = v 3 Scalar multiplication: s v 1 = v 2 Linear combinations: Scalars come from some field F e.g. real or complex numbers Linear independence

209 views • 17 slides

Learning Deep Architectures for AI

Learning Deep Architectures for AI. Yoshua Bengio. Deep Architecture in our Mind. ??Humans organize their ideas and concepts hierarchically ??Humans first learn simpler concepts and then compose them to represent more abstract ones

690 views • 16 slides

Why study oscillations?

Oscillation: A periodic (often sinusoidal) variation. Example: Mass on a spring. Why are oscillations so important?. They are everywhere, and are central to science and engineering. Examples from everyday life:. Why study oscillations?. Examples from science & engineering:

444 views • 15 slides