Modeling Logic Gates with Delay- Part#1

Size: px
Start display at page:

Download "Modeling Logic Gates with Delay- Part#1"

Transcription

1 Modelg Logic Gates with Delay- Part#1 by George Lungu - The previous series of tutorials treated logic gates ideally with considerg propagation delays, havg perfect edges at the put (negligible rise time and fall time) and with fite voltage ga (the gate fully switches for the slightest deviation of the put voltage around a threshold typically vdd/2). - The purpose of the models developed on this blog is not only educational but also utilitarian. We therefore try to obta teractive and animated models which are targeted to be fairly fast. While modelg a gate with all the aforementioned effects is fairly trivial Excel (especially by usg user defed functions), the model would become slow when these said models were to volve more than a half of dozen gates (as we could see one of the previous tutorials ab ideal logic gates). - In order to be able to conveniently simulate effects such as glitches combatorial logic (static and dynamic hazard), oscillation rg and relaxation oscillators, etc, with reasonable precision, we only need to troduce a propagation delay caused solely by rise or fall time (we actually consolidate propagation delay and edge delays a sgle effect sce we will apply the model to sgle-stage gates). This makes the model of a sgle-stage gate fairly simple and easy to program a sgle cell usg built- spreadsheet formulas (hence makg the model much faster than usg user defed functions). 1

2 The delay mechanism sgle-stage logic gates: - Let s consider the schematic of a isolated verter used the design of an tegrated circuit digital block and then let s connect it with other logic gates and see how we can model delays. -Let s also clude the parasitic capacitances which cause rise time and fall time delays. For any given logic gate the capacitance at the put of a gate is usually higher than its capacitance at its own put. The total capacitance at a logic gate put connected a circuit is the sum between it s own put capacitance and the put capacitance to the next stage (the latter usually domates). vdd vdd PMOS (pull up transistor) NMOS (pull down transistor) Drivg gate Co1 Ci2 Co2 Current gate Ci3 Driven gate (some arbitrary configuration) -Let s now consolidate a node capacitance to a total capacitance Ct vdd and attribute it to a the put of the drivg gate Co1+Ci2 Co2+Ci3 Drivg gate Current gate Driven gate 2

3 A Theven equivalent of a sgle-stage logic gate (verter): - After we consolidated the capacitances on each node, let s see how we can model an verter usg a Theven approximation. - With gettg to details you can read ab Theven s theorem and Theven equivalent circuits: - Besides the put capacitance, the put of the verter (or some other logic gate) has a very high impedance sce the put node is composed of two transistor gates which are isolated from the rest of the circuit. - The put can be modeled by a voltage source and a series resistor. Lookg at the static characteristic of an verter (the ones below were published by professor Bruce McNair from Stevens Institute of Technology bmcnair@stevens-tech.edu) we can see that for a typical gate the maximum ga (when put is around vdd/2 where both NMOS and PMOS transistors are saturation) is around the value of -20 (negative). The crowbar (short circuit) current for a small gate the modern CMOS process is ab 5uA -20uA around 2V supply which gives typical put resistances the range of hundreds of KW. - The values above are rough approximations. Besides, a CMOS logic gate has a Theven small signal put resistance that varies wildly dependg on the large signal value of the put (the transistors can be either a saturation, a triode regime, or a combation of both) but for the sake of buildg a high level model we can choose a number proportional to the size of the gate which produces the same delay as real gate connected the same conditions (same load capacitance) as the Excel gate. -Thgs get even more complicated for large capacitances or very fast edges due to the fact that the slew rate will completely cover any ga effects so the ga might be able to be replaced with negative fity which is actually good for us sce it simplifies the model. Static transfer characteristics of two different CMOS verters with different size ratios between N and P transistors (prof. Bruce McNair SIT) 3

4 The Theven equivalent (contuation): - Makg abstraction of the put capacitance for now, the equivalent put impedance (resistive) is fite. - The equivalent put resistance could be calibrated by benchmarkg real transient put waveform (or a precise V vdd/2 SPICE simulation) with the Excel model for a series of various size verters. For now we can consider it somewhere the range 100KW to 500KW.. - The ga for the put level around half the supply voltage is around -20 (26dB) for a typical modern CMOS gate, but with the caveat that the equivalent source voltage needs to be limited between and vdd. R G*V V vdd/2 - An equivalent model would be the one below which the comparator has a ga Ga_comp = G (ab 20) and, of course, its put is limited between and vdd. comparator - R + V V vdd/2 - Sce the ga is fairly high and the put signal has large and fast swgs around vdd/2 it might pay off (major model simplification and simulation speed improvement) to crease the ga of the comparator to fity hence replace the comparator with an ideal verter. - An extra argument for adoptg this model is the fact that realistic transient operation, due to the fast chargg of the put capacitance voltage by the logic gate, the slew rate effects weigh the ga effects (see next page for the simple model) =>>> 4

5 A simplified equivalent model: - We will use the model to the right, which (as we will see soon) can be written as a built- formula a sgle cell with the need to use very slow user defed functions =>>>>> - The problem with this model is that it can simulate rise time and fall time delays but no propagation delays. In order to simulate propagation delays we will need to cascade at least a couple of these models hence use at the least two cells of formulas. V Ideal Inverter Ga = - fity V_m = 0 V_max = vdd Threshold = vdd/2 R C - The aspect mentioned before is not much of a problem because as we can see the diagram below all the delay a simple (sglestage) gate is maly caused by rise time/fall time delays (t plh is ab half of the rise time). V A typical diagram explag the propagation delays and the edge delays (rise and fall time) for a generic gate 5

6 - Lookg aga at the simulated results of a modern CMOS verter (the ones here were published by professor Bruce McNair from Stevens Institute of Technology) we can see that, for a sharp put, the propagation delays are solely caused by edge delays. - For slopg puts thgs might be a little different but, aga the ga of a CMOS gate is high (around 20) and this must not affect the precision too much. - Besides, as mentioned before, an approximate model Excel could be benchmarked and calibrated agast a precision SPICE simulator if precision is important and it could be proven that the ma contributg factor the propagation delay for a simple gate is the slope delay. - In the figure to the right there is no practical or theoretical reason for the put not to start fallg at 2ns or start risg at exactly 8ns time. It might seems there is if we look at catalog sheets of verters sold commercially as stand-alone components (74HC series for stance), but we need not to forget that such parts have several stages (at least an additional put buffer plus one stage to compensate for the version of the buffer the case of an verter). For registers, counters, etc thgs are even worse sce such parts cannot be made with usg a tra of gates. In those cases the edge delay will be the native edge delay of the last stage (buffer) but the propagation delay will be due to a cumulative effect of the edge delays of the gates the critical path. A good example of this concept is a rg oscillator which has an obvious propagation delay between nonconsecutive stages but the edges of any stage put could be quite sharp. - The model formulas takg to consideration RC edge delay will be derived the next presentation. to be contued 6

Lecture 4: Opamp Review. Inverting Amplifier (Finite A 0 )

Lecture 4: Opamp Review. Inverting Amplifier (Finite A 0 ) Lecture 4: Opamp eview Effect of fite open-loop ga, A Frequency dependence of open-loop ga Frequency dependence of closed-loop ga Output voltage and current saturation Output slew rate Offset voltage Input

More information

CGTA: Current Gain-based Timing Analysis for Logic Cells

CGTA: Current Gain-based Timing Analysis for Logic Cells GTA: urrent Ga-based Timg Analysis for Logic ells S. Nazarian, M. Pedram University of Shern alifornia EE-Systems, Los Angeles A 90089 T. L, E. Tuncer Magma Design Automation Santa lara, A 95054 rosstalk-aware

More information

In Class Question. List what topics you d like to emphasize in the quiz review: (top three)

In Class Question. List what topics you d like to emphasize in the quiz review: (top three) In Class Question List what topics you d like to emphasize the quiz review: (top three) Combg resistors oltage divider Identiyg ilters (high and low req) Transer unctions (magnitude, phase) Determg resonant

More information

Revision: August 21, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 21, E Main Suite D Pullman, WA (509) Voice and Fax .7.: Frequency doma system characterization Revision: August, 00 E Ma Suite D Pullman, WA 9963 (09 334 6306 Voice and Fax Overview In previous chapters, we wrote the differential equation governg the relationship

More information

Lab #3: Operational Amplifiers

Lab #3: Operational Amplifiers Indiana U, Physics Dept (H.O. Meyer 7/06) Lab #3: Operational Amplifiers Goal: Learn how to use operational amplifiers (opamps) with various types of feedback ga control. Equipment: OP07 opamp, bread board,

More information

EE115C Spring 2013 Digital Electronic Circuits. Lecture 19: Timing Analysis

EE115C Spring 2013 Digital Electronic Circuits. Lecture 19: Timing Analysis EE115C Spring 2013 Digital Electronic Circuits Lecture 19: Timing Analysis Outline Timing parameters Clock nonidealities (skew and jitter) Impact of Clk skew on timing Impact of Clk jitter on timing Flip-flop-

More information

TB General description. 2. Features and benefits. 3. Applications. 4. Pinning information. 5. Ordering information

TB General description. 2. Features and benefits. 3. Applications. 4. Pinning information. 5. Ordering information 30 September 2016 Product data sheet 1. General description High voltage, high speed, planar passivated NPN power switching transistor in a SOT54 (TO92) plastic package intended for use in low power SMPS

More information

Practice 10: Ratioed Logic

Practice 10: Ratioed Logic Practice 0: Ratioed Logic Digital Electronic Circuits Semester A 0 Ratioed vs. Non-Ratioed Standard CMOS is a non-ratioed logic family, because: The logic function will be correctly implemented regardless

More information

A Heuristic Method for Statistical Digital Circuit Sizing

A Heuristic Method for Statistical Digital Circuit Sizing A Heuristic Method for Statistical Digital Circuit Sizing Stephen Boyd Seung-Jean Kim Dinesh Patil Mark Horowitz Microlithography 06 2/23/06 Statistical variation in digital circuits growing in importance

More information

Bitline PUF:! Building Native Challenge-Response PUF Capability into Any SRAM. Daniel E. Holcomb Kevin Fu University of Michigan

Bitline PUF:! Building Native Challenge-Response PUF Capability into Any SRAM. Daniel E. Holcomb Kevin Fu University of Michigan Sept 26, 24 Cryptographic Hardware and Embedded Systems Bitline PUF:! Building Native Challenge-Response PUF Capability into Any SRAM Daniel E. Holcomb Kevin Fu University of Michigan Acknowledgment: This

More information

EXPERIMENT 6 LOW-PASS FILTERS, 3dB BREAKPOINT and COMPARATORS

EXPERIMENT 6 LOW-PASS FILTERS, 3dB BREAKPOINT and COMPARATORS PH-35. La osa EXPEIMENT 6 LOW-PSS FILTES, 3 BEKPOINT and OMPTOS I. PUPOSE: This laboratory session pursues two ma objecties. First, to build a low-pass filter and measure the put oltage (magnitude and

More information

LOW-PASS FILTERS (3dB frequency, Bode plots) POSITIVE FEEDBACK and OPERATIONAL AMPLIFIERS (Schmitt trigger comparator)

LOW-PASS FILTERS (3dB frequency, Bode plots) POSITIVE FEEDBACK and OPERATIONAL AMPLIFIERS (Schmitt trigger comparator) PH-35 LOW-PASS FILTES (3 frequency, Bode plots POSITIVE FEEDBAK and OPEATIONAL AMPLIFIES (Schmitt trigger comparator I. PUPOSE: This laboratory session pursues two ma objecties. A. La osa First, to build

More information

Electrical Building Blocks Electrical building blocks are characterized by their current-voltage (I-V) relationship.

Electrical Building Blocks Electrical building blocks are characterized by their current-voltage (I-V) relationship. Basic Electrical Measurements E80 /7/09 - Professor Sarah Harris Oeriew Electrical Buildg Blocks:, L, C Impedance: Z oltage Diision Experimental Plots Time Doma s. Bode Plots Instrumentation Signal generators

More information

Statistical Static Timing Analysis: How simple can we get?

Statistical Static Timing Analysis: How simple can we get? Statistical Static Timing Analysis: How simple can we get? Chirayu Amin, Noel Menezes *, Kip Killpack *, Florentin Dartu *, Umakanta Choudhury *, Nagib Hakim *, Yehea Ismail ECE Department Northwestern

More information

Lecture 8: Skew Tolerant Design (including Dynamic Circuit Issues)

Lecture 8: Skew Tolerant Design (including Dynamic Circuit Issues) Lecture 8: Skew Tolerant Design (including Dynamic Circuit Issues) Computer Systems Laboratory Stanford University horowitz@stanford.edu Copyright 2007 by Mark Horowitz w/ material from David Harris 1

More information

Lecture 8: Skew Tolerant Domino Clocking

Lecture 8: Skew Tolerant Domino Clocking Lecture 8: Skew Tolerant Domino Clocking Computer Systems Laboratory Stanford University horowitz@stanford.edu Copyright 2001 by Mark Horowitz (Original Slides from David Harris) 1 Introduction Domino

More information

The Effects of VSWR on Transmitted Power

The Effects of VSWR on Transmitted Power The Effects of VSWR on Transmitted Power By James G. Lee, W6VAT o matter how long you have been a ham, sooner of later you will be involved in at least one discussion of something called the Voltage Standing

More information

How Much Can Clients Spend in Retirement? A Test of the Two Most Prominent Approaches By Wade Pfau December 10, 2013

How Much Can Clients Spend in Retirement? A Test of the Two Most Prominent Approaches By Wade Pfau December 10, 2013 How Much Can Clients Spend in Retirement? A Test of the Two Most Prominent Approaches By Wade Pfau December 10, 2013 In my last article, I described research based innovations for variable withdrawal strategies

More information

1 Two Period Exchange Economy

1 Two Period Exchange Economy University of British Columbia Department of Economics, Macroeconomics (Econ 502) Prof. Amartya Lahiri Handout # 2 1 Two Period Exchange Economy We shall start our exploration of dynamic economies with

More information

Approximating a multifactor di usion on a tree.

Approximating a multifactor di usion on a tree. Approximating a multifactor di usion on a tree. September 2004 Abstract A new method of approximating a multifactor Brownian di usion on a tree is presented. The method is based on local coupling of the

More information

Lecture 7 Tolerance and Risk

Lecture 7 Tolerance and Risk Lecture 7 Tolerance and Risk Problem Requirements Verifications Risk and Tolerance Analyses: The risk of the failure of specific system component is dependent on two variables, the consequence of the loss

More information

Funeral by funeral, theory advances. (Paul Samuelson)

Funeral by funeral, theory advances. (Paul Samuelson) A broad hint from the VIX: Timing the market with implied volatility. Chrilly Donninger Chief Scientist, Sibyl-Project Sibyl-Working-Paper, April 2013 http://www.godotfinance.com/ Funeral by funeral, theory

More information

Full Monte. Looking at your project through rose-colored glasses? Let s get real.

Full Monte. Looking at your project through rose-colored glasses? Let s get real. Realistic plans for project success. Looking at your project through rose-colored glasses? Let s get real. Full Monte Cost and schedule risk analysis add-in for Microsoft Project that graphically displays

More information

Options Pricing Using Combinatoric Methods Postnikov Final Paper

Options Pricing Using Combinatoric Methods Postnikov Final Paper Options Pricing Using Combinatoric Methods 18.04 Postnikov Final Paper Annika Kim May 7, 018 Contents 1 Introduction The Lattice Model.1 Overview................................ Limitations of the Lattice

More information

Mitchell ClaimIQ. The intersection of accuracy and efficiency. (m)powered

Mitchell ClaimIQ. The intersection of accuracy and efficiency. (m)powered Mitchell ClaimIQ The intersection of accuracy and efficiency. (m)powered Mitchell ClaimIQ Mitchell ClaimIQ provides expert guidance with an easy-to-use framework helping to increase accuracy and efficiency

More information

Secure and Energy Efficient Physical Unclonable Functions

Secure and Energy Efficient Physical Unclonable Functions University of Massachusetts Amherst ScholarWorks@UMass Amherst Masters Theses 1911 - February 2014 Dissertations and Theses 2012 Secure and Energy Efficient Physical Unclonable Functions Sudheendra Srivathsa

More information

Copyright Quantext, Inc

Copyright Quantext, Inc Safe Portfolio Withdrawal Rates in Retirement Comparing Results from Four Monte Carlo Models Geoff Considine, Ph.D. Quantext, Inc. Copyright Quantext, Inc. 2005 1 Drawing Income from Your Investment Portfolio

More information

The Binomial Model. Chapter 3

The Binomial Model. Chapter 3 Chapter 3 The Binomial Model In Chapter 1 the linear derivatives were considered. They were priced with static replication and payo tables. For the non-linear derivatives in Chapter 2 this will not work

More information

Fig. 1. Min-Max Timing Simulation 1, 3 1, 2 1, 2 1, , 3 3, 4

Fig. 1. Min-Max Timing Simulation 1, 3 1, 2 1, 2 1, , 3 3, 4 2009 27th IEEE VLSI Test Symposium Output Hazard-Free Transition Delay Fault Test Generation Sreekumar Menon 1, Adit D. Singh 2, Vishwani Agrawal 2 1 Advanced Micro Devices 7171 Southwest Parkway Austin,

More information

Simulations Illustrate Flaw in Inflation Models

Simulations Illustrate Flaw in Inflation Models Journal of Business & Economic Policy Vol. 5, No. 4, December 2018 doi:10.30845/jbep.v5n4p2 Simulations Illustrate Flaw in Inflation Models Peter L. D Antonio, Ph.D. Molloy College Division of Business

More information

FUZZY LOGIC INVESTMENT SUPPORT ON THE FINANCIAL MARKET

FUZZY LOGIC INVESTMENT SUPPORT ON THE FINANCIAL MARKET FUZZY LOGIC INVESTMENT SUPPORT ON THE FINANCIAL MARKET Abstract: This paper discusses the use of fuzzy logic and modeling as a decision making support for long-term investment decisions on financial markets.

More information

Copyright 2011 Pearson Education, Inc. Publishing as Addison-Wesley.

Copyright 2011 Pearson Education, Inc. Publishing as Addison-Wesley. Appendix: Statistics in Action Part I Financial Time Series 1. These data show the effects of stock splits. If you investigate further, you ll find that most of these splits (such as in May 1970) are 3-for-1

More information

Intermodulation Distortion

Intermodulation Distortion /5/005 Intermodulation Distortion.doc / Intermodulation Distortion The db compression curve shows that amplifiers are only approximately lear. Actually, this should be obvious, as amplifiers are constructed

More information

Maximizing the Spread of Influence through a Social Network Problem/Motivation: Suppose we want to market a product or promote an idea or behavior in

Maximizing the Spread of Influence through a Social Network Problem/Motivation: Suppose we want to market a product or promote an idea or behavior in Maximizing the Spread of Influence through a Social Network Problem/Motivation: Suppose we want to market a product or promote an idea or behavior in a society. In order to do so, we can target individuals,

More information

Lecture 20: Sequential Circuits. Sequencing

Lecture 20: Sequential Circuits. Sequencing Lecture 20: Sequential Circuits Sequencing Elements Simple /FF Timing efinitions Source: Ch 7 (W&H) Sequencing Use flip-flops to delay fast tokens so they move through exactly one stage each cycle. Inevitably

More information

Practical issues with DTA

Practical issues with DTA Practical issues with DTA CE 392D PREPARING INPUT DATA What do you need to run the basic traffic assignment model? The network itself Parameters for link models (capacities, free-flow speeds, etc.) OD

More information

Your Keys to Successful Investing

Your Keys to Successful Investing 877-822-1445 1 info@dynamicinvestorpro.com www.dynamicinvestorpro.com Special Report 1 of 6 Your Keys to Successful Investing Successful investing requires a few keys, all of which anyone, including you,

More information

Real Options. Katharina Lewellen Finance Theory II April 28, 2003

Real Options. Katharina Lewellen Finance Theory II April 28, 2003 Real Options Katharina Lewellen Finance Theory II April 28, 2003 Real options Managers have many options to adapt and revise decisions in response to unexpected developments. Such flexibility is clearly

More information

AUFLS information paper

AUFLS information paper AUFLS information paper Contents 1 Introduction... 1 2 The under-frequency management challenge... 1 3 Overview of current arrangements... 3 3.1 The current AUFLS exemptions... 4 4 Initiatives to address

More information

Wage Setting and Price Stability Gustav A. Horn

Wage Setting and Price Stability Gustav A. Horn Wage Setting and Price Stability by Gustav A. Horn Duesseldorf March 2007 1 Executive Summary Wage Setting and Price Stability In the following paper the theoretical and the empirical background of the

More information

RN1421, RN1422, RN1423, RN1424 RN1425, RN1426, RN1427

RN1421, RN1422, RN1423, RN1424 RN1425, RN1426, RN1427 RN1421 TOSHIBA Transistor Silicon NPN Epitaxial Type (PCT Process) (Bias Resistor built-in Transistor) RN1421, RN1422, RN1423, RN1424 RN1425, RN1426, Switching, Inverter Circuit, Interface Circuit and

More information

Threading the Needle. Esther L. George President and Chief Executive Officer Federal Reserve Bank of Kansas City

Threading the Needle. Esther L. George President and Chief Executive Officer Federal Reserve Bank of Kansas City Threading the Needle Esther L. George President and Chief Executive Officer Federal Reserve Bank of Kansas City July 17, 2018 Federal Reserve Bank of Kansas City Agricultural Symposium Kansas City, Mo.

More information

Lattice Model of System Evolution. Outline

Lattice Model of System Evolution. Outline Lattice Model of System Evolution Richard de Neufville Professor of Engineering Systems and of Civil and Environmental Engineering MIT Massachusetts Institute of Technology Lattice Model Slide 1 of 48

More information

Moving PUFs out of the lab

Moving PUFs out of the lab Moving PUFs out of the lab Patrick Schaumont 2/3/2012 Research results by Abhranil Maiti, Jeff Casarona, Luke McHale, Logan McDougall, Vikash Gunreddy, Michael Cantrell What is a Physical Unclonable Function?

More information

Trading the Hidden Divergence. Presented by Sunil Mangwani

Trading the Hidden Divergence. Presented by Sunil Mangwani Trading the Hidden Divergence Indicators in technical analysis. Indicators along with chart patterns, trend lines, resistance / support levels etc., are an essential part of technical analysis. But there

More information

Market Mastery Protégé Program Method 1 Part 1

Market Mastery Protégé Program Method 1 Part 1 Method 1 Part 1 Slide 2: Welcome back to the Market Mastery Protégé Program. This is Method 1. Slide 3: Method 1: understand how to trade Method 1 including identifying set up conditions, when to enter

More information

PMBFJ111; PMBFJ112; PMBFJ113

PMBFJ111; PMBFJ112; PMBFJ113 SOT23 PMBFJ111; PMBFJ112; PMBFJ113 Rev. 4 20 September 2011 Product data sheet 1. Product profile 1.1 General description Symmetrical in a SOT23 package. 1.2 Features and benefits High-speed switching

More information

3. Probability Distributions and Sampling

3. Probability Distributions and Sampling 3. Probability Distributions and Sampling 3.1 Introduction: the US Presidential Race Appendix 2 shows a page from the Gallup WWW site. As you probably know, Gallup is an opinion poll company. The page

More information

MiCOM P443-6/P543-7/P841

MiCOM P443-6/P543-7/P841 MiCOM P443-6/P543-7/P841 Release Notes P443-6/P543-7/P841 Upgrade Platform Hardware Version: M, P Platform Software Version: 75, 65, 45 Publication Reference: P443-6/P543-7/P841-RNC1-TM-EN-1 ALSTOM 2013.

More information

Chapter 15: Dynamic Programming

Chapter 15: Dynamic Programming Chapter 15: Dynamic Programming Dynamic programming is a general approach to making a sequence of interrelated decisions in an optimum way. While we can describe the general characteristics, the details

More information

Optimization Prof. A. Goswami Department of Mathematics Indian Institute of Technology, Kharagpur. Lecture - 18 PERT

Optimization Prof. A. Goswami Department of Mathematics Indian Institute of Technology, Kharagpur. Lecture - 18 PERT Optimization Prof. A. Goswami Department of Mathematics Indian Institute of Technology, Kharagpur Lecture - 18 PERT (Refer Slide Time: 00:56) In the last class we completed the C P M critical path analysis

More information

Understanding goal-based investing

Understanding goal-based investing Understanding goal-based investing By Joao Frasco, Chief Investment Officer, STANLIB Multi-Manager This article will explain our thinking behind goal-based investing. It is important to understand that

More information

Issues in Revenue Forecasting

Issues in Revenue Forecasting Issues in Revenue Forecasting Rich Simons Itron, Inc. 2010 Energy Forecasting Week Las Vegas, Nevada Forecasters Forum/EFG Meeting Forecasters Forum/EFG Meeting April 29 30, 2010 Linking the Sales Forecast

More information

ESD 71 / / etc 2004 Final Exam de Neufville ENGINEERING SYSTEMS ANALYSIS FOR DESIGN. Final Examination, 2004

ESD 71 / / etc 2004 Final Exam de Neufville ENGINEERING SYSTEMS ANALYSIS FOR DESIGN. Final Examination, 2004 ENGINEERING SYSTEMS ANALYSIS FOR DESIGN Final Examination, 2004 Item Points Possible Achieved Your Name 2 1 Cost Function 18 2 Engrg Economy Valuation 26 3 Decision Analysis 18 4 Value of Information 15

More information

Valuation Public Comps and Precedent Transactions: Historical Metrics and Multiples for Public Comps

Valuation Public Comps and Precedent Transactions: Historical Metrics and Multiples for Public Comps Valuation Public Comps and Precedent Transactions: Historical Metrics and Multiples for Public Comps Welcome to our next lesson in this set of tutorials on comparable public companies and precedent transactions.

More information

Global Financial Management. Option Contracts

Global Financial Management. Option Contracts Global Financial Management Option Contracts Copyright 1997 by Alon Brav, Campbell R. Harvey, Ernst Maug and Stephen Gray. All rights reserved. No part of this lecture may be reproduced without the permission

More information

ECON 459 Game Theory. Lecture Notes Auctions. Luca Anderlini Spring 2017

ECON 459 Game Theory. Lecture Notes Auctions. Luca Anderlini Spring 2017 ECON 459 Game Theory Lecture Notes Auctions Luca Anderlini Spring 2017 These notes have been used and commented on before. If you can still spot any errors or have any suggestions for improvement, please

More information

November Circuit breaker: a new compact for school funding. Technical supplement. Peter Goss and Kate Griffiths

November Circuit breaker: a new compact for school funding. Technical supplement. Peter Goss and Kate Griffiths November 2016 Circuit breaker: a new compact for school funding Technical supplement Peter Goss and Kate Griffiths Overview This technical supplement to the report Circuit breaker: a new compact for school

More information

In other words, it s just taking a proven math principle and giving it a real world application that s admittedly shocking.

In other words, it s just taking a proven math principle and giving it a real world application that s admittedly shocking. Module 4 Lesson 11 In our continuing series on closing the gap, I m going to show you a simple way to maximize the Wealth Growth component of your wealth plan by controlling investment fees. This lesson

More information

CHAPTER 12 APPENDIX Valuing Some More Real Options

CHAPTER 12 APPENDIX Valuing Some More Real Options CHAPTER 12 APPENDIX Valuing Some More Real Options This appendix demonstrates how to work out the value of different types of real options. By assuming the world is risk neutral, it is ignoring the fact

More information

On Equivalent Resistance of Electrical Circuits. Mikhail Kagan 1 The Pennsylvania State University, Abington College

On Equivalent Resistance of Electrical Circuits. Mikhail Kagan 1 The Pennsylvania State University, Abington College On Equivalent Resistance of Electrical Circuits Mikhail Kagan 1 The Pennsylvania State University, Abington College Abstract One of the basic tasks related to electrical circuits is computing equivalent

More information

Web Extension: Continuous Distributions and Estimating Beta with a Calculator

Web Extension: Continuous Distributions and Estimating Beta with a Calculator 19878_02W_p001-008.qxd 3/10/06 9:51 AM Page 1 C H A P T E R 2 Web Extension: Continuous Distributions and Estimating Beta with a Calculator This extension explains continuous probability distributions

More information

Ultrafast epitaxial rectifier diode in a SOT226 (I2PAK) plastic package. Discontinuous Current Mode (DCM) Power Factor Correction (PFC)

Ultrafast epitaxial rectifier diode in a SOT226 (I2PAK) plastic package. Discontinuous Current Mode (DCM) Power Factor Correction (PFC) Rev. 01 4 February 2010 Product data sheet 1. Product profile 1.1 General description Ultrafast epitaxial rectifier diode in a SOT226 (I2PAK) plastic package 1.2 Features and benefits Fast switching High

More information

P1.T4.Valuation Tuckman, Chapter 5. Bionic Turtle FRM Video Tutorials

P1.T4.Valuation Tuckman, Chapter 5. Bionic Turtle FRM Video Tutorials P1.T4.Valuation Tuckman, Chapter 5 Bionic Turtle FRM Video Tutorials By: David Harper CFA, FRM, CIPM Note: This tutorial is for paid members only. You know who you are. Anybody else is using an illegal

More information

Renewable Generation (Category 2 20 kw to 150 kw)

Renewable Generation (Category 2 20 kw to 150 kw) Renewable Generation (Category 2 20 kw to 150 kw) Net Metering Program Generator Interconnection Application Interconnection & Parallel Operating Agreement 01/13 Net Metering Program What is net metering?

More information

Reporting Average Annual Returns

Reporting Average Annual Returns Reporting Average Annual Returns How complicated could this be? In the investment world I hear this term used all of the time, average annual returns. I take it for granted that the one providing the information

More information

ExcelBasics.pdf. Here is the URL for a very good website about Excel basics including the material covered in this primer.

ExcelBasics.pdf. Here is the URL for a very good website about Excel basics including the material covered in this primer. Excel Primer for Finance Students John Byrd, November 2015. This primer assumes you can enter data and copy functions and equations between cells in Excel. If you aren t familiar with these basic skills

More information

Hedge Fund Returns: You Can Make Them Yourself!

Hedge Fund Returns: You Can Make Them Yourself! ALTERNATIVE INVESTMENT RESEARCH CENTRE WORKING PAPER SERIES Working Paper # 0023 Hedge Fund Returns: You Can Make Them Yourself! Harry M. Kat Professor of Risk Management, Cass Business School Helder P.

More information

Finding Equilibria in Games of No Chance

Finding Equilibria in Games of No Chance Finding Equilibria in Games of No Chance Kristoffer Arnsfelt Hansen, Peter Bro Miltersen, and Troels Bjerre Sørensen Department of Computer Science, University of Aarhus, Denmark {arnsfelt,bromille,trold}@daimi.au.dk

More information

The private long-term care (LTC) insurance industry continues

The private long-term care (LTC) insurance industry continues Long-Term Care Modeling, Part I: An Overview By Linda Chow, Jillian McCoy and Kevin Kang The private long-term care (LTC) insurance industry continues to face significant challenges with low demand and

More information

Equalities. Equalities

Equalities. Equalities Equalities Working with Equalities There are no special rules to remember when working with equalities, except for two things: When you add, subtract, multiply, or divide, you must perform the same operation

More information

RN1114, RN1115, RN1116, RN1117, RN1118

RN1114, RN1115, RN1116, RN1117, RN1118 TOSHIBA Transistor Silicon NPN Epitaxial Type (PCT Process) RN4~RN8 RN4, RN5, RN6, RN7, RN8 Switching, Inverter Circuit, Interface Circuit and Driver Circuit Applications Unit: mm With built-in bias resistors.

More information

In Chapter 2, a notional amortization schedule was created that provided a basis

In Chapter 2, a notional amortization schedule was created that provided a basis CHAPTER 3 Prepayments In Chapter 2, a notional amortization schedule was created that provided a basis for cash flowing into a transaction. This cash flow assumes that every loan in the pool will make

More information

PUF RO (RING OSCILLATOR)

PUF RO (RING OSCILLATOR) PUF RO (RING OSCILLATOR) EEC 492/592, CIS 493 Hands-on Experience on Computer System Security Chan Yu Cleveland State University CIRCUIT PUF - PREVIOUS WORK Ravikanth et. al proposed the first PUF in literature

More information

A Physical Unclonable Function based on Capacitor Mismatch in a Charge-Redistribution SAR-ADC

A Physical Unclonable Function based on Capacitor Mismatch in a Charge-Redistribution SAR-ADC A Physical Unclonable Function based on Capacitor Mismatch in a Charge-Redistribution SAR-ADC Qianying Tang, Won Ho Choi, Luke Everson, Keshab K. Parhi and Chris H. Kim University of Minnesota Department

More information

Optimal Portfolios under a Value at Risk Constraint

Optimal Portfolios under a Value at Risk Constraint Optimal Portfolios under a Value at Risk Constraint Ton Vorst Abstract. Recently, financial institutions discovered that portfolios with a limited Value at Risk often showed returns that were close to

More information

RN1401, RN1402, RN1403 RN1404, RN1405, RN1406

RN1401, RN1402, RN1403 RN1404, RN1405, RN1406 TOSHIBA Transistor Silicon NPN Epitaxial Type (PCT Process),,,, ~ Switching, Inverter Circuit, Interface Circuit and Driver Circuit Applications Unit: mm With built-in bias resistors Simplified circuit

More information

Proposed Statutory Definition of Tax Residence for Individuals

Proposed Statutory Definition of Tax Residence for Individuals Proposed Statutory Defition of Tax Residence for Individuals SUMMARY The government has released draft legislation for a statutory residence test ( SRT ) for dividuals. The new test is tended to give the

More information

TOSHIBA Transistor Silicon NPN Epitaxial Type (PCT Process) (Bias Resistor built-in Transistor) RN1910, RN1911

TOSHIBA Transistor Silicon NPN Epitaxial Type (PCT Process) (Bias Resistor built-in Transistor) RN1910, RN1911 TOSHIBA Transistor Silicon NPN Epitaxial Type (PCT Process) (Bias Resistor built-in Transistor) RN1910, RN1911 Switching, Inverter Circuit, Interface Circuit and Driver Circuit Applications Unit: mm Including

More information

Elementary Statistics

Elementary Statistics Chapter 7 Estimation Goal: To become familiar with how to use Excel 2010 for Estimation of Means. There is one Stat Tool in Excel that is used with estimation of means, T.INV.2T. Open Excel and click on

More information

Efficient Power Conversion Corporation

Efficient Power Conversion Corporation The egan FET Journey Continues Using egan FETs for Envelope Tracking Buck Converters Johan Strydom Efficient Power Conversion Corporation EPC - The Leader in egan FETs PELS 2014 www.epc-co.com 1 Agenda

More information

Accelerated Option Pricing Multiple Scenarios

Accelerated Option Pricing Multiple Scenarios Accelerated Option Pricing in Multiple Scenarios 04.07.2008 Stefan Dirnstorfer (stefan@thetaris.com) Andreas J. Grau (grau@thetaris.com) 1 Abstract This paper covers a massive acceleration of Monte-Carlo

More information

Manual Npv Formula Excel 2010 Example

Manual Npv Formula Excel 2010 Example Manual Npv Formula Excel 2010 Example As the example spreadsheet embedded below shows, the NPV is by its nature an Excel 2010 and 2013 Basics Demystifying The Excel Pro-Forma: What It Is And file below

More information

Based on BP Neural Network Stock Prediction

Based on BP Neural Network Stock Prediction Based on BP Neural Network Stock Prediction Xiangwei Liu Foundation Department, PLA University of Foreign Languages Luoyang 471003, China Tel:86-158-2490-9625 E-mail: liuxwletter@163.com Xin Ma Foundation

More information

The Economist March 2, Rules v. Discretion

The Economist March 2, Rules v. Discretion Rules v. Discretion This brief in our series on the modern classics of economics considers whether economic policy should be left to the discretion of governments or conducted according to binding rules.

More information

Announcing Pro Tools V2.0 March 28, 2015

Announcing Pro Tools V2.0 March 28, 2015 Announcing Pro Tools V2.0 March 28, 2015 A letter from the CEO.. Greetings OmniVest subscribers! Spring is in the air and it s the perfect time for me to update you on our magnificent OmniVest Professional

More information

BAT54 series 1. Product profile 2. Pinning information Schottky barrier diodes 1.1 General description 1.2 Features and benefits

BAT54 series 1. Product profile 2. Pinning information Schottky barrier diodes 1.1 General description 1.2 Features and benefits SOT2 Rev. 5 5 October 2012 1. Product profile 1.1 General description Planar with an integrated guard ring for stress protection, encapsulated in a small SOT2 (TO-26AB) Surface-Mounted Device (SMD) plastic

More information

Square Timer v3.5.x Users Guide

Square Timer v3.5.x Users Guide Square Timer v3.5.x Users Guide The Square Timer program, also called SQT, is a very useful program for the purpose of time/price squaring. W. D. Gann determined decades ago that there was a mathematical

More information

Handout 4: Deterministic Systems and the Shortest Path Problem

Handout 4: Deterministic Systems and the Shortest Path Problem SEEM 3470: Dynamic Optimization and Applications 2013 14 Second Term Handout 4: Deterministic Systems and the Shortest Path Problem Instructor: Shiqian Ma January 27, 2014 Suggested Reading: Bertsekas

More information

Problems and Solutions

Problems and Solutions 1 CHAPTER 1 Problems 1.1 Problems on Bonds Exercise 1.1 On 12/04/01, consider a fixed-coupon bond whose features are the following: face value: $1,000 coupon rate: 8% coupon frequency: semiannual maturity:

More information

Mathematics 102 Fall Exponential functions

Mathematics 102 Fall Exponential functions Mathematics 102 Fall 1999 Exponential functions The mathematics of uncontrolled growth are frightening. A single cell of the bacterium E. coli would, under ideal circumstances, divide about every twenty

More information

Monetary Policy Objectives During the Crisis: An Overview of Selected Southeast European Countries

Monetary Policy Objectives During the Crisis: An Overview of Selected Southeast European Countries Monetary Policy Objectives During the Crisis: An Overview of Selected Southeast European Countries 35 UDK: 338.23:336.74(4-12) DOI: 10.1515/jcbtp-2015-0003 Journal of Central Banking Theory and Practice,

More information

Advanced Operations Research Prof. G. Srinivasan Dept of Management Studies Indian Institute of Technology, Madras

Advanced Operations Research Prof. G. Srinivasan Dept of Management Studies Indian Institute of Technology, Madras Advanced Operations Research Prof. G. Srinivasan Dept of Management Studies Indian Institute of Technology, Madras Lecture 23 Minimum Cost Flow Problem In this lecture, we will discuss the minimum cost

More information

Online Course Manual By Craig Pence. Module 7

Online Course Manual By Craig Pence. Module 7 Online Course Manual By Craig Pence Copyright Notice. Each module of the course manual may be viewed online, saved to disk, or printed (each is composed of 10 to 15 printed pages of text) by students enrolled

More information

2. Aggregate Demand and Output in the Short Run: The Model of the Keynesian Cross

2. Aggregate Demand and Output in the Short Run: The Model of the Keynesian Cross Fletcher School of Law and Diplomacy, Tufts University 2. Aggregate Demand and Output in the Short Run: The Model of the Keynesian Cross E212 Macroeconomics Prof. George Alogoskoufis Consumer Spending

More information

Lattice Model of System Evolution. Outline

Lattice Model of System Evolution. Outline Lattice Model of System Evolution Richard de Neufville Professor of Engineering Systems and of Civil and Environmental Engineering MIT Massachusetts Institute of Technology Lattice Model Slide 1 of 32

More information

STRATEGIES WITH OPTIONS

STRATEGIES WITH OPTIONS MÄLARDALEN UNIVERSITY PROJECT DEPARTMENT OF MATHEMATICS AND PHYSICS ANALYTICAL FINANCE I, MT1410 TEACHER: JAN RÖMAN 2003-10-21 STRATEGIES WITH OPTIONS GROUP 3: MAGNUS SÖDERHOLTZ MAZYAR ROSTAMI SABAHUDIN

More information

Energy Procurement Strategies in the Presence of Intermittent Sources

Energy Procurement Strategies in the Presence of Intermittent Sources Energy Procurement Strategies the Presence of Intermittent Sources Jayakrishnan Nair Centrum Wiskunde & Informatica Sach Adlakha California Institute of Technology Adam Wierman California Institute of

More information

1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and

1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and CHAPTER 13 Solutions Exercise 1 1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and (13.82) (13.86). Also, remember that BDT model will yield a recombining binomial

More information

Master Budget Excel Project

Master Budget Excel Project Master Budget Excel Project Overview: In this project, you will prepare a master budget in an Excel spreadsheet for Cascade Products Company for the year 2018, based on the materials in Ch. 7 Master Budgeting.

More information