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PSOD Lecture 2. MathCAD – vectors and matrix Matrix operations Matrix operations –Multiply by constant –Matrix transpose [ctrl]+[1] –Inverse [^][-][1]

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Presentation on theme: "PSOD Lecture 2. MathCAD – vectors and matrix Matrix operations Matrix operations –Multiply by constant –Matrix transpose [ctrl]+[1] –Inverse [^][-][1]"— Presentation transcript:

1 PSOD Lecture 2

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3 MathCAD – vectors and matrix

4 Matrix operations Matrix operations –Multiply by constant –Matrix transpose [ctrl]+[1] –Inverse [^][-][1] –Matrix multiplying –Determinant

5 To read the matrix elements A r, k : key [[] r- row nr, k – column nr To read the matrix elements A r, k : key [[] r- row nr, k – column nr –e.g. element A 1,1 keys: [A][[][1][,][1][=] To chose matrix column To chose matrix column –First column A( A ): keys [A][ctrl]+[6][0] –Default first column number is 0, (to change : Math/Options/Array Origin) MathCAD – vectors and matrix

6 Calculations of dot product and cross product of vectors Calculations of dot product and cross product of vectors

7 Special definition of matrix elements as a function of row-column number M i,j =f(i,j) Special definition of matrix elements as a function of row-column number M i,j =f(i,j) –E.g. Value of element is equal to product of column and row number MathCAD – vectors and matrix Constrain: function arguments have to be integer

8 MathCAD 3D graphs 3D graphs of function on the base of matrix : [ctrl]+[2] [M] 3D graphs of function on the base of matrix : [ctrl]+[2] [M] –M – matrix defined earlier

9 3D Graphs of function of real type arguments 3D Graphs of function of real type arguments –Using procedure: CreateMesh(function, lb_v1, ub_v1, lb_v2, ub_v2, v1grid, v2grid) –Assign result to variable –Plot of the variable similarly to plot of matrix ([ctrl]+[2]) MathCAD 3D graphs Boundaries can be the real type numbers. (def. –5,5) Grids have to be integer type numbers (def. 20)

10 MathCAD 3D graphs

11 MathCAD 3D graphs - formating

12 MathCAD 3D graphs – formatting: fill options

13 Contours colour filled

14 MathCAD 3D graphs – formatting: line options

15 MathCAD 3D graphs – formatting: Lighting

16 MathCAD 3D graphs – formatting: Fog and perspective

17 MathCAD 3D graphs – formatting: Backplane and Grids

18 Predefined constants e = 2,718 – natural logarithm base e = 2,718 – natural logarithm base g = 9,81 m/s 2 – acceleration of gravity g = 9,81 m/s 2 – acceleration of gravity = 3,142 – circle perimeter/diameter ratio = 3,142 – circle perimeter/diameter ratio

19 MathCAD equation solving Single equation (one unknown value) Single equation (one unknown value) 1.Given-Find method »Input start point of variable »Type "Given" »Type equation with using [ = ] ([ctrl]+[=]) »Type Find(variable)=

20 MathCAD equation solving Given-Find – solving methods Given-Find – solving methods –Linear (function of type c 0 x 0 + c 1 x c n x n ) – starting point do not affects on results, it only defines size of matrix/vector of the solution. –Nonlinear – according to nonlinear equation. Obtained result could depend on starting point. Available methods: »Conjugate Gradient »Quasi – Newton »Levenberg-Marquardt »Quadratic The choice of method is automatic by default. User can choose method from the pop-up menu over word Find. The choice of method is automatic by default. User can choose method from the pop-up menu over word Find.

21 Single equation (one unknown value) Single equation (one unknown value) 2.Root procedure: Root(function, variable, low_limit, up_limit)= –Values of function at the bounds must have different signs or MathCAD equation solving

22 Single equation (one unknown value) Single equation (one unknown value) 2.Root procedure methods: 1.Secant method 2.Mueller method (2 nd order polynomial) MathCAD equation solving x3x3 x2x2 y3y3 x1x1 y1y1 y2y2 x4x4 x5x5

23 Single equation (one unknown value) Single equation (one unknown value) 3.Special procedure: polyroots for the polynomials. Argument of procedure is a vector of polynomial coefficients (a 0, a 1...). The result is a vector too. MathCAD equation solving Methods: 1.Laguerre's method 2.companion matrix

24 The system of linear equations The system of linear equations –Solving on the base of matrix toolbar: »Prepare square matrix of equations coefficients (A) and vector of free terms (B) »Do the operation x:=A -1 B and show result: x= Or »Use the procedure LSOLVE: lsolve(A,B)= MathCAD, the system of equations solving

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26 The system of nonlinear equation The system of nonlinear equation –Can be solved using given-find method »Assign starting values to variables »Type Given »Type the equations using = sign (bold) »Type Find(var1, var2,...)= MathCAD, the system of equations solving

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28 Ordinary differential equations solving Numerical methods: Numerical methods: –Gives only values not function –Engineer usually needs values –There is no need to make complicated transformations (e.g. variables separation) –Basic method implemented in MathCAD is Runge-Kutta 4 th order method.

29 Ordinary differential equations solving Numerical methods principle Numerical methods principle –Calculation involve bounded range of independent variable only –Every point is being calculated on the base of one or few points calculated before or given starting points. –Independent variable is calculated using step: x i+1 = x i + h = x i + x –Dependent value is calculated according to the method y i+1 = y i + y= y i +K i

30 Ordinary differential equations solving Runge-Kutta 4 th order method principles: Runge-Kutta 4 th order method principles: –New point of the integral is calculated on the base of one point (given/calculated earlier) and 4 intermediate values

31 MathCAD differential equations Single, first order differential equation Single, first order differential equation 1.Assign the initial value of dependent variable (optionally) 2.Define the derivative function 3.Assign to the new variable the integrating function rkfixed: R:=rkfixed(init_v, low_bound, up_bound, num_seg, function) Initial condition

32 4.Result is matrix (table) of two columns: first contain independent values second dependent ones 5.To show result as a plot: 5.To show result as a plot: MathCAD differential equations

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34 System of first order differential equations System of first order differential equations 1.Assign the vector of initial conditions of dependent variables (starting vector) 2.Define the vector function of derivatives (right-hand sides of equations) 3.Assign to the variable function rkfixed: R:=rkfixed(init_vect, low_bound, up_bound, num_seg, function) MathCAD differential equations

35 4.Result is matrix (table) of three columns: first contain independent values, 2 nd first dependent values, third second ones : 5.Results as a plot: R 5.Results as a plot: R MathCAD differential equations

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37 Single second order equation Single second order equation 1.Transform the second order equation to the system of two first order equations: Initial condition MathCAD differential equations

38 Example: Example: Solve the second order differential equation (calculate: values of function and its first derivatives) given by equation: While y=10 and y=-1 for x=0 In the range of x= In the range of x=

39 MathCAD differential equations System of equations Starting vectorVectoral function


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