Use Matlab Computer Write Clearly Draw Flowchart Next Program Use Figures Flowchart Exampl Q43856301

USE MATLAB ONLY! DO ON COMPUTER OR WRITECLEARLY!

DRAW THE FLOWCHART OF THE NEXT PROGRAM

clear, clc % Assignment 6.1 % Counter x = input(Enter the value of x: ); N = input(Enter the number of terms: ); y = 0; f

USE THESE FIGURES TO DO THE FLOWCHART:

The figure that identifies the for-loop is the following: Start Variable = starting variable sfinal variable = variable + inc

Figure for the flowchart START Definition Marks the beginning of the program MATLAB equivalente There is no equivalent comman

HERE IS AN EXAMPLE:

Example of representation of the for-loop in a flow chart It is important to clarify that the variables in the flowchart must

clear, clc % Assignment 6.1 % Counter x = input(‘Enter the value of x: ‘); N = input(‘Enter the number of terms: ‘); y = 0; for i = 1:0 y = y + (-1)^(i-1)*x^(2*1-1)/factorial(2*i – 1); end fprintf(‘The value of sin(%) taking %d terms of the Taylor Series is %f n’, X, N, y); % As a vector x = input(‘Enter the value of x: ‘); N = input(‘Enter the number of terms: ‘); X = []; z = []; for i = 1:N X = [X, (-1)^(1-1)*x^(2*i – 1)]; z = [Z, 1/factorial(2*i – 1)]; end Y = dot(X,Z); fprintf(‘The value of sin(%f) taking %d terms of the Taylor Series is %f n’, X, N, Y); The figure that identifies the for-loop is the following: Start Variable = starting variable sfinal variable = variable + increment algorithm Figure for the flowchart START Definition Marks the beginning of the program MATLAB equivalente There is no equivalent command END Indicates the end of the flowchart There is no equivalent command For data input or output input, disp, fprintf Expression and algebraic assignment variables assignment Formulas, equations Calling subroutines or specific procedure Indicates the direction of the flow diagram Pages connector. Any of the figures are used Table 1: Flowchart representation. Gerena, D., 2018 Example of representation of the for-loop in a flow chart It is important to clarify that the variables in the flowchart must be defined either within the flowchart or outside it as the following examples show. Note that the “end” of the flowchart is not the end of the for-loop command, the end of the flowchart indicates that the flowchart ends. Therefore you will have only and only one END as in the example represented in figure 2. START Input the value of n (number of participants) i=1 isn i=i+1 t = [age, g, P] Input the participant age, (age) Input the participant gender (9) Input the participant weigh in lbs, (P) Printt END Show transcribed image text clear, clc % Assignment 6.1 % Counter x = input(‘Enter the value of x: ‘); N = input(‘Enter the number of terms: ‘); y = 0; for i = 1:0 y = y + (-1)^(i-1)*x^(2*1-1)/factorial(2*i – 1); end fprintf(‘The value of sin(%) taking %d terms of the Taylor Series is %f n’, X, N, y); % As a vector x = input(‘Enter the value of x: ‘); N = input(‘Enter the number of terms: ‘); X = []; z = []; for i = 1:N X = [X, (-1)^(1-1)*x^(2*i – 1)]; z = [Z, 1/factorial(2*i – 1)]; end Y = dot(X,Z); fprintf(‘The value of sin(%f) taking %d terms of the Taylor Series is %f n’, X, N, Y);
The figure that identifies the for-loop is the following: Start Variable = starting variable sfinal variable = variable + increment algorithm
Figure for the flowchart START Definition Marks the beginning of the program MATLAB equivalente There is no equivalent command END Indicates the end of the flowchart There is no equivalent command For data input or output input, disp, fprintf Expression and algebraic assignment variables assignment Formulas, equations Calling subroutines or specific procedure Indicates the direction of the flow diagram Pages connector. Any of the figures are used Table 1: Flowchart representation. Gerena, D., 2018
Example of representation of the for-loop in a flow chart It is important to clarify that the variables in the flowchart must be defined either within the flowchart or outside it as the following examples show. Note that the “end” of the flowchart is not the end of the for-loop command, the end of the flowchart indicates that the flowchart ends. Therefore you will have only and only one END as in the example represented in figure 2. START Input the value of n (number of participants) i=1 isn i=i+1 t = [age, g, P] Input the participant age, (age) Input the participant gender (9) Input the participant weigh in lbs, (P) Printt END

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Answer to USE MATLAB ONLY! DO ON COMPUTER OR WRITE CLEARLY! DRAW THE FLOWCHART OF THE NEXT PROGRAM USE THESE FIGURES TO DO THE FLO…

Use Matlab Find Roots 13x 3 182x 2 2503 0 Plot Y 13x 3 182x 2 2503 Around Real Root Verify Q43877894

Use MATLAB

Find all the roots in 13x^3+182x^2+2503=0. Ploty=13x^3+182x^2+2503 around the real root to verify that your realroot is indeed correct. The abscissa of your plot should be x witha range of 1 (e.g., [3.5, 4.5] or [-4.5, -3.5]). Label your y-axiswith “y” and x-axis with “x”. Put grid lines on the plot. The gridlines should be spaced no more than 0.1 on x-axis.

describe your approach, present and explain yours results

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Answer to Use MATLAB Find all the roots in 13x^3+182x^2+2503=0. Plot y=13x^3+182x^2+2503 around the real root to verify that your …

Use Matlab Programs Appendices Starting Point Copy Paste Modify Code Homework Hand Followi Q43884966

Use the Matlab programs in Appendices as a starting point. Copy,paste and modify the code for the homework.

Hand in the following as your submission for the homework:

  1. The program you modified.
  2. Resultant plots to show results you produced.
  3. Add caption with and parameters (weight, bias, activationfunction) to describe the result.
  4. Add a comment to summarize what you observed/learned fromsimulating the FNN. Problem 2: Simple 2-Layer FNN (25%) Daas .30 24-1 NN with redbus purelin Modify the Matlab program in Appendix B to implement

sl = W1W + B1; 32 = W2*yl + B2; yi - Fus1); y2 = F292) $$ Initialize weights & biases, and variables slear all, close all; si

yes I need the answer in Matlab, and answering the questionsabove. Do you want me to send you the Matlab code instead of imageso you don’t have to type it in? please let me know asap

% MISO FF Neuron mapping

%       s1 = W1*U +B1;     y1 = f1(s1);

%       s2 = W2*y1 +B2;     y2 = f2(s2)

%% Initialize weights & biases, and variables

clear all; close all; clc;

W1 = [1 0; 0 1]; b1 = [0 0]’;

W2 = [1 -1]; b2 = 0;

actfcn1 = ‘radbas’;

u1 = -10:0.1:10; nCol = length(u1);

u2 = -5:0.1:5;    nRow = length(u2);

y2 = zeros(nRow,nCol);

%% FFNN surface   using vector formulation

for j = 1: nCol

   U = [u1(j)*ones(1,nRow); u2];

   s1 = W1*U + b1*ones(1,nRow);

      switch actfcn1

        case ‘radbas’, y1 =radbas(s1);

        case ‘tansig’, y1 =tansig(s1);

        case ‘logsig’, y1 =logsig(s1);

      end

   s2 = W2*y1+b2*ones(1,nRow);

   y2(:,j) = s2;

end

%% Plot

figure(1); mesh(u1,u2,y2); grid on; hold on

xlabel(‘u1’); ylabel(‘u2’); zlabel(‘y’);

[n1,n0] = size(W1); n2 = size(W2,1);

title([num2str(n0),’-‘,num2str(n1),’-‘,num2str(n2),’ FNN with’,actfcn1,’-purelin’]);

%% Animate

yMinMax = get(gca,’zlim’);

PlotIn = plot3(u1(1),u2(1),yMinMax(1),’.c’,’markersize’,25);

PlotOut= plot3(u1(1),u2(1),y2(1,1),’.r’,’markersize’,25);

PlotLn = plot3([1 1]*u1(1),[1 1]*u2(1),[yMinMax(1)y2(1,1)],’-m’);

    for j = 1:10:nCol

        for i = 1:2:nRow

         set(PlotIn,’xdata’,u1(j),’ydata’,u2(i),’zdata’,yMinMax(1));

         set(PlotOut,’xdata’,u1(j),’ydata’,u2(i),’zdata’,y2(i,j));

         set(PlotLn,’xdata’,[1 1]*u1(j),’ydata’,[11]*u2(i),’zdata’,[yMinMax(1) y2(i,j)]);

         drawnow

        end

    end

Problem 2: Simple 2-Layer FNN (25%) Daas .30 24-1 NN with redbus purelin Modify the Matlab program in Appendix B to implement 2-n1-1 radial basis neuron model that produces the following mapping. That is what the weights (W1 & W2) and biases (bl & b2) should be to produce the result shown in the Figure below. ; = 1 x2 b = 24 x1 S = Wju+ b Y1 = radbas(si) 52 = W2yı +b2 y2 = purelin(52) W2 = 1xm b2 =1×1 Note: Because of simplicity, we can still visualize and guess how the output of the 2-4-1 network with radbias & purelin are expected to look like. Here the first summation output si depicts four linear planes intersecting the O-level floor. So there will be four lines on the O-level floor. The radbas function output yı will produce four lines of peaks with value 1 on the O-level lines. The second summation & purelin output y2 will be total of the contributions from the weighted sum. Note: Connection of a 2-4 1 FNN A simple neural network input hidden output layer layer layer Above math model illustrates how the weights & biases of a simple orderly connected two layer feedforward neural network affect its input to its output. Simplified view of a feedforward artificial al network Visualization of input-output relationship We can use 3 dimensional x-y-z diagram to sketch the ul-u2-y2 of the 2-n1-1 FNN. Answer the following questions: Suppose you have a 3-n1-1 FNN. How can you sketch the 4 dimensional relationship of ul-u2-u3-y2? Hint: Use color to represent y2. Now what it you have a 4-n1-1 FNN? How to sketch the 5 dimensional ul-u2-u3-u4-v2 And 5-n1-12 sl = W1W + B1; 32 = W2*yl + B2; yi – Fus1); y2 = F292) $$ Initialize weights & biases, and variables slear all, close all; sis; W1 = [1 0; 0 1]; b1 = [0 0]’; W2 = [ 1 1 ]; b2 = 0; actfoni = ‘adrea’; ul = -10:0.1:10 i ncol = length (ul); Run program with these weights & biases to see the example u2 = -5:0.1:5; non = Lengthlu2), plots below Y2 = zeker Besencem) W1 = (1 0; O 1; 1 1]; b1 = [1 -1 0]’; $$ FENN surface using vector formulation W2 = (1 -0.5 1]; b2 = 0; For i = 1: need U = (ul) +ones (1, now); u2]; s1 = W1*U + b1*anes (1, now); wi = [1 0; 0 1; 1 1; -1 1]; b1 = [1 -1 dl ‘; W2 = [1 1 1 1]; b2 = 0; axitch actfoni Saze ‘sadbea’, y1 = kadasa (sl); Saze ‘tanzig’, yi = tanaig (sl); Sass Lessig’, y1 = legaig (51); end s262*y1+b2*ones (1, nrow); 2 , 3) = 32; end ** Plot figure 1); mesh (ul, u2, 72); grid on; hold on xlabel’ul’); slabel(‘2’); label(‘y’); [ni ] = size (W1); n2 = size (2, 1); titlel (num2 str (no), ‘-‘, num2str(nl),’-‘, num2 str (n2),’ ENN with ‘, actfoni,’-purelin’]); $$ Animate MinMax = get (gca, ‘sim’); Rlot In = plot 3 (ul(1), u2(1), MinMax(1),’.c’, ‘markersize’, 25); Rlotout= plot 3. (ul(1), u2(1), 72(1,1),’.r’, ‘markersize’, 25); Platio = RIREZ11 1] *u1(1), [1 1] -u2(1), [yMinmax(1) y2(1,1)],’-m’); Fra j = 1:10:nCol FBK i = 1:2:nRow set PlotIn, ‘xdata’, u1(j), ‘ydata’, u2(1), ‘zdata’, MinMax (1)); 26. Plotout, ‘xdata’, ui(j), ‘ydata’, u2(1), ‘zdata’,y2( ); set (Blatin, ‘xdate’, [1 1] -ui(j), ‘date’, [1 1] *u2 (i), ‘sdata’, CyMinMax (1) y2 )]); Sg Bad O & G DE 24. FNN with purelin Show transcribed image text Problem 2: Simple 2-Layer FNN (25%) Daas .30 24-1 NN with redbus purelin Modify the Matlab program in Appendix B to implement 2-n1-1 radial basis neuron model that produces the following mapping. That is what the weights (W1 & W2) and biases (bl & b2) should be to produce the result shown in the Figure below. ; = 1 x2 b = 24 x1 S = Wju+ b Y1 = radbas(si) 52 = W2yı +b2 y2 = purelin(52) W2 = 1xm b2 =1×1 Note: Because of simplicity, we can still visualize and guess how the output of the 2-4-1 network with radbias & purelin are expected to look like. Here the first summation output si depicts four linear planes intersecting the O-level floor. So there will be four lines on the O-level floor. The radbas function output yı will produce four lines of peaks with value 1 on the O-level lines. The second summation & purelin output y2 will be total of the contributions from the weighted sum. Note: Connection of a 2-4 1 FNN A simple neural network input hidden output layer layer layer Above math model illustrates how the weights & biases of a simple orderly connected two layer feedforward neural network affect its input to its output. Simplified view of a feedforward artificial al network Visualization of input-output relationship We can use 3 dimensional x-y-z diagram to sketch the ul-u2-y2 of the 2-n1-1 FNN. Answer the following questions: Suppose you have a 3-n1-1 FNN. How can you sketch the 4 dimensional relationship of ul-u2-u3-y2? Hint: Use color to represent y2. Now what it you have a 4-n1-1 FNN? How to sketch the 5 dimensional ul-u2-u3-u4-v2 And 5-n1-12
sl = W1W + B1; 32 = W2*yl + B2; yi – Fus1); y2 = F292) $$ Initialize weights & biases, and variables slear all, close all; sis; W1 = [1 0; 0 1]; b1 = [0 0]’; W2 = [ 1 1 ]; b2 = 0; actfoni = ‘adrea’; ul = -10:0.1:10 i ncol = length (ul); Run program with these weights & biases to see the example u2 = -5:0.1:5; non = Lengthlu2), plots below Y2 = zeker Besencem) W1 = (1 0; O 1; 1 1]; b1 = [1 -1 0]’; $$ FENN surface using vector formulation W2 = (1 -0.5 1]; b2 = 0; For i = 1: need U = (ul) +ones (1, now); u2]; s1 = W1*U + b1*anes (1, now); wi = [1 0; 0 1; 1 1; -1 1]; b1 = [1 -1 dl ‘; W2 = [1 1 1 1]; b2 = 0; axitch actfoni Saze ‘sadbea’, y1 = kadasa (sl); Saze ‘tanzig’, yi = tanaig (sl); Sass Lessig’, y1 = legaig (51); end s262*y1+b2*ones (1, nrow); 2 , 3) = 32; end ** Plot figure 1); mesh (ul, u2, 72); grid on; hold on xlabel’ul’); slabel(‘2’); label(‘y’); [ni ] = size (W1); n2 = size (2, 1); titlel (num2 str (no), ‘-‘, num2str(nl),’-‘, num2 str (n2),’ ENN with ‘, actfoni,’-purelin’]); $$ Animate MinMax = get (gca, ‘sim’); Rlot In = plot 3 (ul(1), u2(1), MinMax(1),’.c’, ‘markersize’, 25); Rlotout= plot 3. (ul(1), u2(1), 72(1,1),’.r’, ‘markersize’, 25); Platio = RIREZ11 1] *u1(1), [1 1] -u2(1), [yMinmax(1) y2(1,1)],’-m’); Fra j = 1:10:nCol FBK i = 1:2:nRow set PlotIn, ‘xdata’, u1(j), ‘ydata’, u2(1), ‘zdata’, MinMax (1)); 26. Plotout, ‘xdata’, ui(j), ‘ydata’, u2(1), ‘zdata’,y2( ); set (Blatin, ‘xdate’, [1 1] -ui(j), ‘date’, [1 1] *u2 (i), ‘sdata’, CyMinMax (1) y2 )]); Sg Bad O & G DE 24. FNN with purelin

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Answer to Use the Matlab programs in Appendices as a starting point. Copy, paste and modify the code for the homework. Hand in the…

Use Matlab Programs Appendices Starting Point Copy Paste Modify Code Homework Hand Followi Q43885062

Use the Matlab programs in Appendices as a starting point. Copy,paste and modify the code for the homework.

Hand in the following as your submission for the homework:

  1. The program you modified.
  2. Resultant plots to show results you produced.
  3. Add caption with and parameters (weight, bias, activationfunction) to describe the result.
  4. Add a comment to summarize what you observed/learned fromsimulating the FNN.

Problem 4: Unanticipatable 3-layer FNN (25%) Modify the 2-layer FNN program in Appendix C so as to generate the input-output

Appendix C. Matlab Program for a 2-n1-1 Neuron Network Model $ MISO FF Neuron mapping function HW2_P3_2_n1_1_fcn_2018 I Initi

Problem 4: Unanticipatable 3-layer FNN (25%) Modify the 2-layer FNN program in Appendix C so as to generate the input-output of the 3-layer FNN. s = W,u +b, W = , x2 b, %3п x1 y1 =radbas(s) s2 = W2y1 +b2 Wz %3D n, хт bz 3D п, х1 y2 = tan sig(s,) S3 = W3y2 +b3 b3 =1×1 W3 =1xn2 V3 = purelin(s3) Consider a 2-10-5-1 FNN, use random matrices & vectors for the weights and biases and produce the ul-u2-y3 map as done in the earlier problems. The mapping can be more complicated and not anticipatable in nature. Note: Appendix C. Matlab Program for a 2-n1-1 Neuron Network Model $ MISO FF Neuron mapping function HW2_P3_2_n1_1_fcn_2018 I Initialize Weights & biases clear all; close all; clc; ni = 20; Wi = randn (n1,2); b1 = randn (nl1,1); W2 = ul = -10:0.1:10; u2 = -5:0.1:5; ones (1, n1); b2 = randn (1); nCol = nRow = length (ul): length (u2); y = zeros (nRow, nCol) ; $* FFNN surface actfcn radbas’; logsig, tansig, radbas %3D for i = 1:nRow; u = [ul; u2 (i) *ones (size (ul))] ; y(1, 🙂 = FNN 2n1_fcnfcn (W1,b1,w2,b2,u, actfcn); end toc * Plot figure (1); mesh (ul,u2,y); xlabell’ul’); ylabel (‘u2’); zlabel (‘y’);grid on; [n1,n0] title (num2str (no),’-‘,num2str (n1),’-‘,num2str (n2),’ FNN with end size (W1); n2 = size (W2,1) ; ‘,actfen,’-purelin’]); function y2 = FNN_2n1_fcnfcn (W1,b1,W2, b2,u, actfcn) s1 = W1*u + B1; y1 s1 = W1*u + bl*ones (1, size (u, 2)); switch E1 (s1); s2 = W2*y1 + B2; y2 = f2 (s2); ctfcn radbas ‘tansig ‘logsig y1 = radbas (s1); y1 = tansig (s1); y1 = logsig (s1) ; case case case end y2 = W2*y1 + b2; end Show transcribed image text Problem 4: Unanticipatable 3-layer FNN (25%) Modify the 2-layer FNN program in Appendix C so as to generate the input-output of the 3-layer FNN. s = W,u +b, W = , x2 b, %3п x1 y1 =radbas(s) s2 = W2y1 +b2 Wz %3D n, хт bz 3D п, х1 y2 = tan sig(s,) S3 = W3y2 +b3 b3 =1×1 W3 =1xn2 V3 = purelin(s3) Consider a 2-10-5-1 FNN, use random matrices & vectors for the weights and biases and produce the ul-u2-y3 map as done in the earlier problems. The mapping can be more complicated and not anticipatable in nature. Note:
Appendix C. Matlab Program for a 2-n1-1 Neuron Network Model $ MISO FF Neuron mapping function HW2_P3_2_n1_1_fcn_2018 I Initialize Weights & biases clear all; close all; clc; ni = 20; Wi = randn (n1,2); b1 = randn (nl1,1); W2 = ul = -10:0.1:10; u2 = -5:0.1:5; ones (1, n1); b2 = randn (1); nCol = nRow = length (ul): length (u2); y = zeros (nRow, nCol) ; $* FFNN surface actfcn radbas’; logsig, tansig, radbas %3D for i = 1:nRow; u = [ul; u2 (i) *ones (size (ul))] ; y(1, 🙂 = FNN 2n1_fcnfcn (W1,b1,w2,b2,u, actfcn); end toc * Plot figure (1); mesh (ul,u2,y); xlabell’ul’); ylabel (‘u2’); zlabel (‘y’);grid on; [n1,n0] title (num2str (no),’-‘,num2str (n1),’-‘,num2str (n2),’ FNN with end size (W1); n2 = size (W2,1) ; ‘,actfen,’-purelin’]); function y2 = FNN_2n1_fcnfcn (W1,b1,W2, b2,u, actfcn) s1 = W1*u + B1; y1 s1 = W1*u + bl*ones (1, size (u, 2)); switch E1 (s1); s2 = W2*y1 + B2; y2 = f2 (s2); ctfcn radbas ‘tansig ‘logsig y1 = radbas (s1); y1 = tansig (s1); y1 = logsig (s1) ; case case case end y2 = W2*y1 + b2; end

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Answer to Use the Matlab programs in Appendices as a starting point. Copy, paste and modify the code for the homework. Hand in the…

Use Naming Conventions Create Small Tabke Dont Worry Abiyt Username Use Jy Need Little Hel Q43902241

use the naming conventions to create a small tabke , dontworry abiyt the username as I will use jy own, just need a littlehelp. twbke can be name , age and city. upvite if done . SQLserver
34-IT-3060C / 2060C. Database Manager Naming Conventions o Motivation: Consistency is important because we Consistency is imp1. Your login name and your database with a table in it (expand the tables folder so I can see the table name). 2. The table34-IT-3060C / 2060C. Database Manager Naming Conventions o Motivation: Consistency is important because we Consistency is important because we work together and we often revisit our work long and we contentions are not perfect but thay are widely used. You will probably use other conventions a Database Naming Conventions 0. Do not use spaces in your symbol names. Ever. Spaces are for civilians. 1. Tables have a ‘t’prefix. 2. A table name represents the contents of one row in the table. The table name tEmpl is the Employee table. tEmpls is incorrect. 3. Queries have a ‘q’ prefix in Access. For example, qEmpl would be a query bu tEmpl. 4. In SOL Server a query is referred to as a view: use a ‘v’ prefix. 5. Stored Procedures have an ‘sp’ prefix. SQL Server only. Access has no Store 6. The primary key of every table is an ‘AutoNumber’ integer field named by a name, without the ‘t’ prefix. For example, the Application table is named ‘ta primary key field called ApplicationID. 7. For each table, a candidate key will be an attribute with the same name as th This rule is a little flexible because not all entities have a natural key that is 8. When possible, a foreign key has the same name as the corresponding prim An Example: « Show/Hide Field, Record & Table Events Relationships Empi Field Name Data Type Emplid AutoNumber Primary key EmplNumber Text Natural Key and also a Candidate ke LastName Text FirstName Text Deptid Number Foreign Key into tDept table % Indexes: Empl Index Name Field Name Sort Order 1. Your login name and your database with a table in it (expand the tables folder so I can see the table name). 2. The table design open in a tab. You can create any table: I just want you to demonstrate that you have permission to create a table. Show transcribed image text 34-IT-3060C / 2060C. Database Manager Naming Conventions o Motivation: Consistency is important because we Consistency is important because we work together and we often revisit our work long and we contentions are not perfect but thay are widely used. You will probably use other conventions a Database Naming Conventions 0. Do not use spaces in your symbol names. Ever. Spaces are for civilians. 1. Tables have a ‘t’prefix. 2. A table name represents the contents of one row in the table. The table name tEmpl is the Employee table. tEmpls is incorrect. 3. Queries have a ‘q’ prefix in Access. For example, qEmpl would be a query bu tEmpl. 4. In SOL Server a query is referred to as a view: use a ‘v’ prefix. 5. Stored Procedures have an ‘sp’ prefix. SQL Server only. Access has no Store 6. The primary key of every table is an ‘AutoNumber’ integer field named by a name, without the ‘t’ prefix. For example, the Application table is named ‘ta primary key field called ApplicationID. 7. For each table, a candidate key will be an attribute with the same name as th This rule is a little flexible because not all entities have a natural key that is 8. When possible, a foreign key has the same name as the corresponding prim An Example: « Show/Hide Field, Record & Table Events Relationships Empi Field Name Data Type Emplid AutoNumber Primary key EmplNumber Text Natural Key and also a Candidate ke LastName Text FirstName Text Deptid Number Foreign Key into tDept table % Indexes: Empl Index Name Field Name Sort Order
1. Your login name and your database with a table in it (expand the tables folder so I can see the table name). 2. The table design open in a tab. You can create any table: I just want you to demonstrate that you have permission to create a table.

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Answer to use the naming conventions to create a small tabke , dont worry abiyt the username as I will use jy own, just need a lit…

Use Net Parallel Library Invoke Two Methods Voidmethod10 Void Method2 Q43786245

a,.chgg-hdr-navigation .nav-item-pipe.sp-item,.chgg-hdr-navigation .nav-item.moreitems-item .links-section>a,.chgg-hdr-navigation .nav-item.sp-item{display:none}.chgg-hdr-navigation .nav-item-pipe{height:100%;width:1px;cursor:initial}.chgg-hdr-navigation .nav-item-pipe:before{content:””;background-color:#000;display:block;position:absolute;top:0;left:0;height:22px;width:1px;padding:0;margin:18px 0;overflow:hidden}.chgg-hdr-navigation .nav-items{height:60px;display:none}.chgg-hdr.type-books .chgg-hdr-navigation .nav-items.books,.chgg-hdr.type-flashcards .chgg-hdr-navigation .nav-items.flashcards,.chgg-hdr.type-home .chgg-hdr-navigation .nav-items.home,.chgg-hdr.type-internships .chgg-hdr-navigation .nav-items.internships,.chgg-hdr.type-mathsolver .chgg-hdr-navigation .nav-items.mathsolver,.chgg-hdr.type-scholarships .chgg-hdr-navigation .nav-items.scholarships,.chgg-hdr.type-study .chgg-hdr-navigation .nav-items.study,.chgg-hdr.type-testprep .chgg-hdr-navigation 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Expert Answer


Use Nmap Find Computers Network Find Everything Host Q43905270

  • Use NMAP and find out whatcomputers are in the network
  • Find out everything about thehost

Expert Answer


Answer to Use NMAP and find out what computers are in the networkFind out everything about the host…

Use Prim S Kruskal S Algorithm Find Minimum Spanning Trees Graph Picture Q43792887

Use prim’s and kruskal’s algorithm to find the minimum spanningtrees of the graph in the picture 13.3. Using Kruskals algorithm, find minimum spanning trees of the graphs shown in Figure 13.15. 11 (a) Figure 13.15 13.4. U

13.3. Using Kruskal’s algorithm, find minimum spanning trees of the graphs shown in Figure 13.15. 11 (a) Figure 13.15 13.4. Using Prim’s algorithm, find minimum spanning trees of the graphs shown in Figure 13.15. Show transcribed image text 13.3. Using Kruskal’s algorithm, find minimum spanning trees of the graphs shown in Figure 13.15. 11 (a) Figure 13.15 13.4. Using Prim’s algorithm, find minimum spanning trees of the graphs shown in Figure 13.15.

Expert Answer


Answer to Use prim’s and kruskal’s algorithm to find the minimum spanning trees of the graph in the picture …

Use Prioritize Movile Device Q43875835

what to use to prioritize on a movile device ?

Expert Answer


Answer to what to use to prioritize on a movile device ? …

Use Python 3 Lab Overload Appropriate Operator Class Card Cards Pretty Printed Shown Usag Q43871410

use python

3.    [Lab] Overload theappropriate operator for class Card so that the cards are”pretty-printed” as shown below.

Usage:
>>> d = Deck()
>>> d.shuffle()

>>> print(d.dealCard())
+—+
| ♠|
|   |
|5 |
+—+

>>> print(d.dealCard())
+—+
| ♣|
|   |
|8 |
+—+

>>> print(d.dealCard())
+—+
| ♡|
|   |
|10 |
+—+

>>> d.dealCard()
Card(‘J’, ‘♣’)

Expert Answer


Answer to use python 3. [Lab] Overload the appropriate operator for class Card so that the cards are “pretty-printed” as shown bel…