Soumettre la recherche
Mettre en ligne
Inequalties Of Combined Functions2[1]
•
Télécharger en tant que PPT, PDF
•
0 j'aime
•
270 vues
G
guestf0cee6
Suivre
Technologie
Signaler
Partager
Signaler
Partager
1 sur 21
Télécharger maintenant
Recommandé
Inequalties Of Combined Functions2[1]
Inequalties Of Combined Functions2[1]
guestf0cee6
3.6
Lar calc10 ch03_sec6
Lar calc10 ch03_sec6
Institute of Applied Technology
Inequalities of combined functions
Inequalities of combined functions
chattiechick
Assignment problem
Hungarian Method
Hungarian Method
Aritra7469
Permutation graphsandapplications
Permutation graphsandapplications
Joe Krall
Rightand wrong[1]
Rightand wrong[1]
slange
Hungarian Algorithm which is used in optimizing the assignment problems are simply described using a working example.
Hungarian algorithm
Hungarian algorithm
Charith Suriyakula
computer graphics
Seed filling algorithm
Seed filling algorithm
Mani Kanth
Recommandé
Inequalties Of Combined Functions2[1]
Inequalties Of Combined Functions2[1]
guestf0cee6
3.6
Lar calc10 ch03_sec6
Lar calc10 ch03_sec6
Institute of Applied Technology
Inequalities of combined functions
Inequalities of combined functions
chattiechick
Assignment problem
Hungarian Method
Hungarian Method
Aritra7469
Permutation graphsandapplications
Permutation graphsandapplications
Joe Krall
Rightand wrong[1]
Rightand wrong[1]
slange
Hungarian Algorithm which is used in optimizing the assignment problems are simply described using a working example.
Hungarian algorithm
Hungarian algorithm
Charith Suriyakula
computer graphics
Seed filling algorithm
Seed filling algorithm
Mani Kanth
msa
Msa manual 4 th edition
Msa manual 4 th edition
SANKUSI
what are the impacts of error in computer architecture!!
Impact of error
Impact of error
Anil Pokhrel
Lecture given in course Applied Statistics in Engineering OAH305 in Mälardalen University Sweden
Regression analysis in excel
Regression analysis in excel
Awais Salman
Boundary fill algorithm is used frequently in computer graphics to fill a desired color inside a closed polygon having the same boundary color for all of its sides.Boundary Fill Algorithm starts at a pixel inside the polygon to be filled and paints the interior proceeding outwards towards the boundary. This algorithm works only if the color with which the region has to be filled and the color of the boundary of the region are different.
4-CONNECTED AND 8-CONNECTED NEIGHBOR SELECTION By Sintiak Haque
4-CONNECTED AND 8-CONNECTED NEIGHBOR SELECTION By Sintiak Haque
Sintiak haque
Assignment problem
Assignment problem
Harshil Vakani
Ch 7 tutoring notes quadratics
Ch 7 tutoring notes quadratics
srobbins4
regresion lineal
Regression planar
Regression planar
Kike Herlindo
Assignment Problem
Assignment Problem
Amit Kumar
April 4, 2014
April 4, 2014
khyps13
Lesson on functions.
Lesson 1
Lesson 1
urenaa
The assignment problem is a kind of linear programming problem, but the hungarian method is a quicker algorithm for solving it.
Lesson 33: The Assignment Problem
Lesson 33: The Assignment Problem
Matthew Leingang
Operation Research Assignment model Assignment method Hungarian method
Assignment method
Assignment method
R A Shah
How to do least-squares fitting of curves and interpolate the data points using MATLAB
06-07 Chapter interpolation in MATLAB
06-07 Chapter interpolation in MATLAB
Dr. Mohammed Danish
9.2 graphing simple rational functions
9.2 graphing simple rational functions
hisema01
fill area algo
Fill area algorithms
Fill area algorithms
Kumar
computer graphics
Boundary fill algm
Boundary fill algm
rajeshranjithsingh
Assignment problem
Assignment problem
Abu Bashar
DiffCalculus: September 17, 2012
DiffCalculus: September 17, 2012
Carlos Vázquez
This presentation contains - - Polygon Filling Algorithm - Inside Test - Even Odd Test - Scanline Polygon Filling Algorithm - Seed Filling Approach - Boundary Fill Algorihtm - Edge Fill Algorithm - 4-connected polygon - 8-connected polygon - Flood Fill Algorithm
Polygon filling algorithm
Polygon filling algorithm
Aparna Joshi
government polytechnic mumbai computer department
Examplelf flowchart
Examplelf flowchart
Ankit Dubey
Building CLR/H Registration Site with ASP.NET MVC4 and EF4CodeFirst
Building CLR/H Registration Site with ASP.NET MVC4 and EF4CodeFirst
Jun-ichi Sakamoto
Inequalties Of Combined Functions2[1]
Inequalties Of Combined Functions2[1]
guestf0cee6
Contenu connexe
Tendances
msa
Msa manual 4 th edition
Msa manual 4 th edition
SANKUSI
what are the impacts of error in computer architecture!!
Impact of error
Impact of error
Anil Pokhrel
Lecture given in course Applied Statistics in Engineering OAH305 in Mälardalen University Sweden
Regression analysis in excel
Regression analysis in excel
Awais Salman
Boundary fill algorithm is used frequently in computer graphics to fill a desired color inside a closed polygon having the same boundary color for all of its sides.Boundary Fill Algorithm starts at a pixel inside the polygon to be filled and paints the interior proceeding outwards towards the boundary. This algorithm works only if the color with which the region has to be filled and the color of the boundary of the region are different.
4-CONNECTED AND 8-CONNECTED NEIGHBOR SELECTION By Sintiak Haque
4-CONNECTED AND 8-CONNECTED NEIGHBOR SELECTION By Sintiak Haque
Sintiak haque
Assignment problem
Assignment problem
Harshil Vakani
Ch 7 tutoring notes quadratics
Ch 7 tutoring notes quadratics
srobbins4
regresion lineal
Regression planar
Regression planar
Kike Herlindo
Assignment Problem
Assignment Problem
Amit Kumar
April 4, 2014
April 4, 2014
khyps13
Lesson on functions.
Lesson 1
Lesson 1
urenaa
The assignment problem is a kind of linear programming problem, but the hungarian method is a quicker algorithm for solving it.
Lesson 33: The Assignment Problem
Lesson 33: The Assignment Problem
Matthew Leingang
Operation Research Assignment model Assignment method Hungarian method
Assignment method
Assignment method
R A Shah
How to do least-squares fitting of curves and interpolate the data points using MATLAB
06-07 Chapter interpolation in MATLAB
06-07 Chapter interpolation in MATLAB
Dr. Mohammed Danish
9.2 graphing simple rational functions
9.2 graphing simple rational functions
hisema01
fill area algo
Fill area algorithms
Fill area algorithms
Kumar
computer graphics
Boundary fill algm
Boundary fill algm
rajeshranjithsingh
Assignment problem
Assignment problem
Abu Bashar
DiffCalculus: September 17, 2012
DiffCalculus: September 17, 2012
Carlos Vázquez
This presentation contains - - Polygon Filling Algorithm - Inside Test - Even Odd Test - Scanline Polygon Filling Algorithm - Seed Filling Approach - Boundary Fill Algorihtm - Edge Fill Algorithm - 4-connected polygon - 8-connected polygon - Flood Fill Algorithm
Polygon filling algorithm
Polygon filling algorithm
Aparna Joshi
government polytechnic mumbai computer department
Examplelf flowchart
Examplelf flowchart
Ankit Dubey
Tendances
(20)
Msa manual 4 th edition
Msa manual 4 th edition
Impact of error
Impact of error
Regression analysis in excel
Regression analysis in excel
4-CONNECTED AND 8-CONNECTED NEIGHBOR SELECTION By Sintiak Haque
4-CONNECTED AND 8-CONNECTED NEIGHBOR SELECTION By Sintiak Haque
Assignment problem
Assignment problem
Ch 7 tutoring notes quadratics
Ch 7 tutoring notes quadratics
Regression planar
Regression planar
Assignment Problem
Assignment Problem
April 4, 2014
April 4, 2014
Lesson 1
Lesson 1
Lesson 33: The Assignment Problem
Lesson 33: The Assignment Problem
Assignment method
Assignment method
06-07 Chapter interpolation in MATLAB
06-07 Chapter interpolation in MATLAB
9.2 graphing simple rational functions
9.2 graphing simple rational functions
Fill area algorithms
Fill area algorithms
Boundary fill algm
Boundary fill algm
Assignment problem
Assignment problem
DiffCalculus: September 17, 2012
DiffCalculus: September 17, 2012
Polygon filling algorithm
Polygon filling algorithm
Examplelf flowchart
Examplelf flowchart
En vedette
Building CLR/H Registration Site with ASP.NET MVC4 and EF4CodeFirst
Building CLR/H Registration Site with ASP.NET MVC4 and EF4CodeFirst
Jun-ichi Sakamoto
Inequalties Of Combined Functions2[1]
Inequalties Of Combined Functions2[1]
guestf0cee6
Sculptures And Structures
Sculptures And Structures
vgriego
ASAP engaged in correspondence with Santos to try to achieve a more positive outcome for mud-flow affected communities in Sidoarjo. At first Santos seemed willing to negotiate further assistance, however in 2009 Santos withdrew its interest in providing any aid to Sidoarjo. Santos has also declined to formally respond (in writing) to more recent ASAP letters and has instead asked PR spokesperson Christian Bennett to talk Santos' way out of their ethical responsibilities.
Asap Santos Correspondence
Asap Santos Correspondence
guest6a32ad
prezentare chimie zeca stefanita
Prezentare Chimie Zeca Stefanita
Prezentare Chimie Zeca Stefanita
zek93
Asap Santos Correspondence
Asap Santos Correspondence
guest6a32ad
cara daftar alert pay
Panduan alertpay
Panduan alertpay
rame99
En vedette
(7)
Building CLR/H Registration Site with ASP.NET MVC4 and EF4CodeFirst
Building CLR/H Registration Site with ASP.NET MVC4 and EF4CodeFirst
Inequalties Of Combined Functions2[1]
Inequalties Of Combined Functions2[1]
Sculptures And Structures
Sculptures And Structures
Asap Santos Correspondence
Asap Santos Correspondence
Prezentare Chimie Zeca Stefanita
Prezentare Chimie Zeca Stefanita
Asap Santos Correspondence
Asap Santos Correspondence
Panduan alertpay
Panduan alertpay
Similaire à Inequalties Of Combined Functions2[1]
Calculo Integral
Tarea1
Tarea1
DULCECRUZ11
167 c h a p t e r 4 Optimized Implementation of Logic Functions Chapter Objectives In this chapter you will learn about: • Synthesis of logic functions • Analysis of logic circuits • Techniques for deriving minimum-cost implementations of logic functions • Graphical representation of logic functions in the form of Karnaugh maps • Cubical representation of logic functions • Use of CAD tools and VHDL to implement logic functions 168 C H A P T E R 4 • Optimized Implementation of Logic Functions In Chapter 2 we showed that algebraic manipulation can be used to find the lowest-cost implementations of logic functions. The purpose of that chapter was to introduce the basic concepts in the synthesis process. The reader is probably convinced that it is easy to derive a straightforward realization of a logic function in a canonical form, but it is not at all obvious how to choose and apply the theorems and properties of section 2.5 to find a minimum-cost circuit. Indeed, the algebraic manipulation is rather tedious and quite impractical for functions of many variables. If CAD tools are used to design logic circuits, the task of minimizing the cost of implementation does not fall to the designer; the tools perform the necessary optimizations automatically. Even so, it is essential to know something about this process. Most CAD tools have many features and options that are under control of the user. To know when and how to apply these options, the user must have an understanding of what the tools do. In this chapter we will introduce some of the optimization techniques implemented in CAD tools and show how these techniques can be automated. As a first step we will discuss a graphical approach, known as the Karnaugh map, which provides a neat way to manually derive minimum-cost implementations of simple logic functions. Although it is not suitable for implementation in CAD tools, it illustrates a number of key concepts. We will show how both two-level and multilevel circuits can be designed. Then we will describe a cubical representation for logic functions, which is suitable for use in CAD tools. We will also continue our discussion of the VHDL language. 4.1 Karnaugh Map In section 2.6 we saw that the key to finding a minimum-cost expression for a given logic function is to reduce the number of product (or sum) terms needed in the expression, by applying the combining property 14a (or 14b) as judiciously as possible. The Karnaugh map approach provides a systematic way of performing this optimization. To understand how it works, it is useful to review the algebraic approach from Chapter 2. Consider the function f in Figure 4.1. The canonical sum-of-products expression for f consists of minterms m0, m2, m4, m5, and m6, so that f = x1x2x3 + x1x2x3 + x1x2x3 + x1x2x3 + x1x2x3 The combining property 14a allows us to replace two minterms that differ in the value of only one variable with a single product term that does not include that variable a.
167c h a p t e r4Optimized Implementation of Logic.docx
167c h a p t e r4Optimized Implementation of Logic.docx
hyacinthshackley2629
ENGR 102B: Microsoft Excel Proficiency Levels Please have your instructor or TA initial each level as you complete it. If you need additional help, ask the TAs or use the help guide within Excel. Once you master Excel Levels I through IV, you can note Excel as a skill on your resume! Please see D2L Content for this week for your Excel Homework assignment (individual), which is due via D2L Dropbox by the due date specified in the D2L News for your section. If you use a Mac, please be sure to submit your homework in a format that the grader and instructor can open on a PC. Level I: Basic Functions Initials _______ 1. Calculating an Average: Calculate the arithmetic average of the 5 values listed below. Enter the values in cells A2 through A6. Place a descriptive label in cell A1. 3.6, 3.8, 3.5, 3.7, 3.6 First, calculate the average the long way, by summing the values and dividing by 5: You will enter the following formula into a blank cell to accomplish this: =(A2+A3+A4+A5+A6)/5 Second, calculate the average using Excel’s AVERAGE( ) function by entering the following formula in a cell: =AVERAGE(cellrange) Replace the “cellrange” with the actual addresses in your spreadsheet of the range of cells holding the five values (i.e., for this problem, the cell range is A2:A6). 2. Determining Velocities (in kph): Some friends at the University of Calgary are coming south for spring break. Help them avoid a speeding ticket by completing a velocity conversion worksheet that calculates the conversion from mph to kph in increments of 10 from 10 to 100. A conversion factor you will need is 0.62 miles/km; you will need this factor to convert from miles/hour to km/hour. Place the conversion factor in its own cell and then reference it in your conversion calculations using absolute cell referencing (e.g., $C$2). Refer to the CBT video on Absolute and Relative Cell Referencing from the “Preparation for the Excel Workshop” assignment if you don’t remember how to do this. Level II: Advanced Functions Initials _______ 1. Projectile Motion I: (See following page for Fig. 1 Excel chart) A projectile is launched at the angle 35o from the horizontal with a velocity equal to 30 m/s. Neglecting air resistance and assuming a horizontal surface, determine how far away from the launch site the projectile will land. To answer this problem, you will need: 1. Excel’s trigonometry functions to handle the 35o angle, and 2. Equations relating distance to velocity and acceleration When velocity is constant, as in the horizontal motion of our particle (since we’re neglecting air resistance), the distance traveled is simply the initial horizontal velocity times the time of flight: (Equation 1) What keeps the projectile from flying forever is gravity. Since the gravitational acceleration is constant, the vertical distance traveled becomes (Equation 2) Because the projectile ends up back on the ground, the final value of y is zero (a hor ...
ENGR 102B Microsoft Excel Proficiency LevelsPlease have your in.docx
ENGR 102B Microsoft Excel Proficiency LevelsPlease have your in.docx
YASHU40
MATH133 UNIT 2: Quadratic Equations Individual Project Assignment: Version 2A Show all of your work details for these calculations. Please review this Web site to see how to type mathematics using the keyboard symbols. Problem 1: Modeling Profit for a Business IMPORTANT: See Question 3 below for special IP instructions. This is mandatory. Remember that the standard form for the quadratic function equation is y = f ( x ) = ax 2 + bx + c and the vertex form is y = f ( x ) = a ( x – h ) 2 + k , where ( h , k ) are the coordinates of the vertex of this quadratic function’s graph. You will use P ( x ) = −0.2 x 2 + bx – c where (−0.2 x 2 + bx ) represents the business’ variable profit and c is the business’s fixed costs. So, P ( x ) is the store’s total annual profit (in $1,000) based on the number of items sold, x . 1. Choose a value between 100 and 200 for b . That value does not have to be a whole number. 2. Think about and list what the fixed costs might represent for your fictitious business (be creative). Start by choosing a fixed cost, c , between $5,000 and $10,000, according to the first letter of your last name from the values listed in the following chart: If your last name begins with the letter Choose a fixed cost between A–E $5,000–$5,700 F–I $5,800–$6,400 J–L $6,500–$7,100 M–O $7,200–$7,800 P–R $7,800–$8,500 S–T $8,600–$9,200 U–Z $9,300–$10,000 4.Replace b and c with your chosen values in Parts 1 and 2 in P ( x ) = −0.2 x 2 + bx − c . This is your quadratic profit model function. State that quadratic profit model functions equation. 5. Next, choose 5 values of x (number of items sold) between 500 and 1,000. Think about the general characteristics of quadratic function graphs (parabolas) to help you with choosing these 5 values of x . 6. Plug these 5 values into your model for P ( x ), and evaluate the annual business profit given those sales volumes. (Be sure to show all of your work for these calculations.) 7. Use the 5 ordered pairs of numbers from 5 and 6 and Excel or another graphing utility to graph your quadratic profit model, and insert the graph into your Word answer document. The graph of the quadratic function is called a parabola . 8. What is the vertex of the quadratic function graph? (Show your work details, or explain how you found the vertex.) 9. What is the equation of the line of symmetry? Explain how you found this equation. 10. Write the vertex form for your quadratic profit function. 11. Is there a maximum profit for your business? If so, how many items must be sold to produce the maximum profit, and what is that maximum profit? If your quadratic profit function has a maximum, show your work or explain how the maximum profit figure was obtained. 12. How would knowing the number of items sold that produces the maximum profit help you to run your business more effectively. 13. Analyze the results of these profit cal.
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
healdkathaleen
MATH133 UNIT 2: Quadratic Equations Individual Project Assignment: Version 2A Name (Required): __________________________________________________ Show all of your work details for these calculations. Please review this Web site to see how to type mathematics using the keyboard symbols. Handwritten scanned work is not acceptable for AIU Online. Problem 1: Modeling Profit for a Business IMPORTANT: See Question 3 below. This is mandatory. Remember that the standard form for the quadratic function equation is y = f (x) = ax2 + bx + c and the vertex form is y = f (x) = a(x – h)2 + k, where (h, k) are the coordinates of the vertex of this quadratic function’s graph. You will use P(x) = -0.2x2 + bx – c where (-0.2x2 + bx) represents the business’s variable profit and c is the business’s fixed costs. So, P(x) is the store’s total annual profit (in $1,000) based on the number of items sold, x. 1. (List your chosen value for between 100 and 200.) 2. (List what the fixed costs might represent for your fictitious business, and be creative; also list your chosen value for c from the table below). If your last name begins with the letter Choose a fixed cost between A–E $5,000–$5,700 F–I $5,800–$6,400 J–L $6,500–$7,100 M–O $7,200–$7,800 P–R $7,800–$8,500 S–T $8,600–$9,200 U–Z $9,300–$10,000 3. Important: By Wednesday night at midnight, submit a Word document with only your name and your chosen values for b and c above in Parts 1 and 2. Submit this in the Unit 2 IP submissions area. This submitted Word document will be used to determine the Last Day of Attendance for government reporting purposes. 4. (State that quadratic profit model function’s equation by replacing and with your chosen values.) 5. (Choose five values of (number of items sold) between 500 and 1000. Insert those -values in the table.) 6. Plug these five values into your model for and evaluate the annual business profit given those sales volumes. (Be sure to show all your work for these calculations; complete the table below.) 7. Use the five ordered pairs of numbers from 5 and 6, and Excel or another graphing utility, to graph your quadratic profit model and insert the graph into your Word answer document. The graph of a quadratic function is called aparabola. (Insert graph below.) 8. (Show work details or explain how you found the vertex. Write the vertex in ordered-pair form: .) 9. (Write the explanation and the equation of the line of symmetry.) 10. (Write your quadratic profit function in vertex form, where is the vertex of this quadratic function’s graph. Show the details of how you found this equation.) 11. (State the maximum profit (if any), and show how you determined how many items must be sold to give the maximum profit.) 12. (State how knowing the number of items sold that produces the maximum profit help you to run business more effectively.) 13. (Give an analysis of the results of these profit calculations, and give some ...
MATH133 UNIT 2 Quadratic EquationsIndividual Project Assignment.docx
MATH133 UNIT 2 Quadratic EquationsIndividual Project Assignment.docx
andreecapon
Just share about interpolation in cse
Interpolation and-its-application
Interpolation and-its-application
Apurbo Datta
interpolation
interpolation-and-its-application-180107160107.pptx
interpolation-and-its-application-180107160107.pptx
SomitSamanto1
Report and analysis examples
Rick Watkins Docs
Rick Watkins Docs
rickwatkins
Complex Excel spreadsheets designed to automate and streamline processes with robust functionality
Rick Watkins Docs
Rick Watkins Docs
rickwatkins
Content
VCE Unit 01 (2).pptx
VCE Unit 01 (2).pptx
skilljiolms
You can enter formulas in two ways, either directly into the cell itself, or at the input line. Either way, you need to start a formula with one of the following symbols: =, + or –. Starting with anything else causes the formula to be treated as if it were text. Creating Formulas Understanding Functions Using regular expressions in functions Using Pivot tables The DataPilot dialog
Libre Office Calc Lesson 4: Understanding Functions
Libre Office Calc Lesson 4: Understanding Functions
Smart Chicago Collaborative
SQL, or Structured Query Language, is a powerful and versatile programming language used for managing and manipulating relational databases. With its intuitive syntax and wide-ranging capabilities, SQL has become a cornerstone of modern data management systems, enabling users to interact with databases efficiently and effectively. One of the primary functions of SQL is to retrieve data from databases using queries. These queries allow users to specify the data they want to retrieve, filter it based on certain criteria, and perform various operations on it. SQL queries typically consist of several components, including: 1. **SELECT statement**: The SELECT statement is used to specify the columns of data that should be retrieved from the database. It allows users to choose which fields they want to include in the query's results. 2. **FROM clause**: The FROM clause specifies the table or tables from which the data should be retrieved. It identifies the source of the data for the query. 3. **WHERE clause**: The WHERE clause is used to filter the data based on specific conditions. It allows users to narrow down the results of their query by specifying criteria that must be met by the data. 4. **JOIN clause**: The JOIN clause is used to combine data from multiple tables in a database. It allows users to create relationships between tables based on common fields and retrieve data that spans multiple tables. 5. **GROUP BY clause**: The GROUP BY clause is used to group the results of a query based on one or more columns. It allows users to aggregate data and perform calculations on groups of records rather than individual records. 6. **HAVING clause**: The HAVING clause is used in conjunction with the GROUP BY clause to filter groups of data based on specific conditions. It allows users to apply conditions to groups of records after they have been grouped by the GROUP BY clause. 7. **ORDER BY clause**: The ORDER BY clause is used to sort the results of a query based on one or more columns. It allows users to specify the order in which the data should be displayed. SQL also provides a wide range of functions and operators for performing calculations, manipulating strings and dates, and performing various other tasks. These functions and operators enhance the flexibility and power of SQL queries, enabling users to perform complex operations on their data with ease. In addition to querying data, SQL is also used for managing database structures, creating and modifying tables, defining relationships between tables, and enforcing constraints to maintain data integrity. SQL's data definition language (DDL) allows users to create, alter, and drop database objects such as tables, indexes, and views, while its data manipulation language (DML) allows users to insert, update, delete, and retrieve data from tables. Overall, SQL is a fundamental tool for working with relational databases, providing users with the ability to retrieve, manipulate, and manage
MS_Excel_Module4.1 ffor beginners yo .pptx
MS_Excel_Module4.1 ffor beginners yo .pptx
shagunjain2k22phdcs0
This presentation is a part of Computer Oriented Numerical Method . Newton-Cotes formulas are an extremely useful and straightforward family of numerical integration techniques.
Newton cotes integration method
Newton cotes integration method
shashikant pabari
Wolfram Mathematica Mechanical Engineering University of Gaziantep
Me 443 4 plotting curves Erdi Karaçal Mechanical Engineer University of Gaz...
Me 443 4 plotting curves Erdi Karaçal Mechanical Engineer University of Gaz...
Erdi Karaçal
PHYS 221 Lab 1 - Acceleration Due to Gravity Please work in groups of three. Please submit one lab report per person via Canvas. In this laboratory we will measure the acceleration due to gravity by studying the motion of a cart accelerating down an inclined plane. Background Suppose we start with a level track and then tip it, as shown in Figure 1 below. Let L be the distance between two fixed points on a ramp, selected to be as far apart as possible, on the track. Let h be the difference in the vertical height above the table of these two points. Figure 1 - Schematic of a cart on an inclined plane. The magnitude of the acceleration of the cart down the ramp can be considered a component of the gravitational acceleration: a = g sinθ Then we have an incline of angle given by Equation 1: . (1) The acceleration of gravity, g, acts vertically downward, so the component of parallel to the incline – which is the acceleration of our cart – is given by Equation 2: (2) We see in Equation 2 that a graph of acceleration a as a function of sinθ should be linear with slope g. We will take data to plot such a graph and from its slope determine the value of g. Setup Gather the following materials: · 2 m ramp · Meter stick · Lab Stand · Ramp clamp · Plastic Box with ULI, AC Adapter, and USB Cable · Motion Sensor · Magnetic Bumper 1. Connect the ULI to the computer via the USB cable and connect the AC adapter. Open Logger Pro 3.8.7. 2. Attach the ramp clamp to the lab stand and attach one end of the ramp. 3. Elevate one end of the track slightly using the vertical rod. Choose a value of h so that the angle of inclination stays less than about 8 degrees. (Use Equation 1 to verify). · You can choose any two points along the track to serve as your L, but they must be the same two points for all your runs! · Measure h by measuring the difference in the two heights of your two points. 4. Connect a motion sensor to the ULI and mount it on the elevated end of the track. The low end of the track should have a magnetic bumper installed on it (magnets face upward along the track). Procedure 1. Choose at least five values of height h, to vary over the range 1-8 degrees. 2. Record each value of h chosen, and then obtain a graph of velocity versus time for that value. 3. You have two options for collecting velocity data from the cart: · Release from the elevated end of the track and let it accelerate to the lower end. · Push the cart from the lower end of the track up the incline. Record data during its entire motion back to its starting point. This will take slightly more finesse, but the data will be better. The motion sensor will not record accurate data for a cart closer than 40 cm (the limit of its near range). Do not let the cart collide with the end of the track! 4. Determine the acceleration for the cart by using the Linear Fit tool and highlighting the appropriate region of the velocity graph. Record the .
PHYS 221Lab 1 - Acceleration Due to GravityPlease work in g.docx
PHYS 221Lab 1 - Acceleration Due to GravityPlease work in g.docx
mattjtoni51554
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals, yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
kf
Programming in python
Programming in python
Ivan Rojas
tw1979 Exercise 1 Report
tw1979 Exercise 1 Report
Thomas Wigg
A step-by-step introduction to array functions and applying them to create self-updating charts and pivot tables. Fun stuff.
An Introduction To Array Functions
An Introduction To Array Functions
posterro
Capital Works Bundling Potential Model_Concept
Capital Works Bundling Potential Model_Concept
Jung Oh
Similaire à Inequalties Of Combined Functions2[1]
(20)
Tarea1
Tarea1
167c h a p t e r4Optimized Implementation of Logic.docx
167c h a p t e r4Optimized Implementation of Logic.docx
ENGR 102B Microsoft Excel Proficiency LevelsPlease have your in.docx
ENGR 102B Microsoft Excel Proficiency LevelsPlease have your in.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic Equations Individual Project Assignm.docx
MATH133 UNIT 2 Quadratic EquationsIndividual Project Assignment.docx
MATH133 UNIT 2 Quadratic EquationsIndividual Project Assignment.docx
Interpolation and-its-application
Interpolation and-its-application
interpolation-and-its-application-180107160107.pptx
interpolation-and-its-application-180107160107.pptx
Rick Watkins Docs
Rick Watkins Docs
Rick Watkins Docs
Rick Watkins Docs
VCE Unit 01 (2).pptx
VCE Unit 01 (2).pptx
Libre Office Calc Lesson 4: Understanding Functions
Libre Office Calc Lesson 4: Understanding Functions
MS_Excel_Module4.1 ffor beginners yo .pptx
MS_Excel_Module4.1 ffor beginners yo .pptx
Newton cotes integration method
Newton cotes integration method
Me 443 4 plotting curves Erdi Karaçal Mechanical Engineer University of Gaz...
Me 443 4 plotting curves Erdi Karaçal Mechanical Engineer University of Gaz...
PHYS 221Lab 1 - Acceleration Due to GravityPlease work in g.docx
PHYS 221Lab 1 - Acceleration Due to GravityPlease work in g.docx
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
Programming in python
Programming in python
tw1979 Exercise 1 Report
tw1979 Exercise 1 Report
An Introduction To Array Functions
An Introduction To Array Functions
Capital Works Bundling Potential Model_Concept
Capital Works Bundling Potential Model_Concept
Dernier
The CNIC Information System is a comprehensive database managed by the National Database and Registration Authority (NADRA) of Pakistan. It serves as the primary source of identification for Pakistani citizens and residents, containing vital information such as name, date of birth, address, and biometric data.
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
danishmna97
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
Whatsapp Number Escorts Call girls 8617370543 Available 24x7 Mcleodganj Call Girls Service Offer Genuine VIP Model Escorts Call Girls in Your Budget. Mcleodganj Call Girls Service Provide Real Call Girls Number. Make Your Sexual Pleasure Memorable with Our Mcleodganj Call Girls at Affordable Price. Top VIP Escorts Call Girls, High Profile Independent Escorts Call Girls, Housewife Women Escorts Call Girl, College Girls Escorts Call Girls, Russian Escorts Call girls Service in Your Budget.
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Deepika Singh
Six common myths about ontology engineering, knowledge graphs, and knowledge representation.
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
johnbeverley2021
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
Workshop Build With AI - Google Developers Group Rio Verde
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Sandro Moreira
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
Dernier
(20)
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
Inequalties Of Combined Functions2[1]
1.
Inequalties of Combined
Functions Examples and Answers 8.4
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
8.4
13.
14.
15.
16.
17.
18.
19.
20.
21.
Télécharger maintenant