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MaplePrimes Posts are for sharing your experiences, techniques and opinions about Maple, MapleSim and related products, as well as general interests in math and computing.

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    The most recent shift in education has seen countries adopting a more student-centered approach to learning. This approach involves enabling students to make sense of new knowledge by building on their existing knowledge. Many countries have embraced this approach in their educational systems. Teachers are no longer the sage on the stage, and gone are lectures and one-way learning. This new era of learning lends itself to the social constructivist framework of teaching and learning. 

     

    Social Constructivism. Students adopt new knowledge through interacting with others to share past experiences and make sense of the learned concepts together. Perhaps the most well-known applications of social constructivist classrooms are Thinking Classrooms popularized by Peter Liljedahl in 2021 (the same age as Maple Learn!). In a Thinking Classroom, groups of students collaborate to discuss potential solutions to solve open-ended problems. Ideas are recorded on vertical surfaces so that all students, including those from different groups, have access to one another’s ideas. The teacher is hands-off in this type of classroom, with students asking each other questions if stuck or unsure. This approach facilitates the exchange of ideas and encourages collaboration among students. Sadly, this innovative idea was brought into the classroom at a peculiar time, at the height of the pandemic when less socialization was happening. 

     

    Nevertheless, teachers were intrigued by this idea, and like any good idea, it spread like wildfire. For the first time, many teachers have reported that they observed their students engage in active thinking, rather than just mechanically plugging and chugging numbers into formulae, as was traditionally done in math education. This shift in approach has led to a deeper understanding of mathematical concepts and improved problem-solving skills among students. At the same time, students were more uncomfortable than ever before because they were not accustomed to the feeling of “not knowing.” The strongest students were often the most uncomfortable as they were conditioned to view mathematics as having only one correct answer. This discomfort is a natural part of the learning process, as it indicates that students are grappling with the new concepts and expanding their understanding. This new approach, which emphasized exploration and problem-solving over rote memorization, challenged their existing beliefs and required them to think in new ways. Over time, as they become more familiar with this approach, students develop greater confidence in their mathematical skills and improve their abilities to think critically and creatively.

     

    Social Constructivism in Maple Learn. As a secondary math teacher, I’ve been using Maple Learn to support my students’ learning. I’ve mainly created projects and collections of financial literacy documents that are not only informative but also exploratory for students to engage with at their own pace. Here is where I see the potential of Maple Learn - not only to support teachers in the classroom but also to act in place of the teacher for asynchronous class work by being the guide on the side. 

     

    The project-based ideas such as “Designing a roller coaster or slide,” “Exploring the rule of 72,” and open-ended questions such as “Designing a cake” and “Moving sofa” can lend themselves to creative discussions using mathematics. This is because Maple Learn offers its users the chance to visualize dynamic representations. Users can relate the algebraic, graphical, text-based, and/or geometrical representations of the same math concept. The convenience of having everything on one page encourages students to take away what they deem are the most important pieces of information as opposed to the teacher telling them what the major takeaways are. Due to their diverse backgrounds and unique mathematical identities, different students tend to focus on different aspects of a given concept. However, it is precisely these differences that can lead to a deeper understanding of the topic at hand. By sharing their perspectives and insights with one another, students can gain a more complete and nuanced understanding of mathematical concepts, and develop a broader range of problem-solving strategies. 

    Source: Double angle identity. Illustration provides geometrical and algebraic representations side by side.  

     

    In addition, the different functions that Maple Learn offers, allow students with varying mathematical backgrounds to have an equitable chance at learning. Some students may be better at manipulating equations, while others might be more visual. Maple Learn provides students with a blank canvas to explore mathematical concepts on their own, without the stress of mental calculations, the need to access different functions on a calculator, or the necessity to search for explanatory videos online. Maple Learn can also have embedded hyperlinks which can be important concepts or documents. These links can provide an easier learning platform for students to construct their own knowledge. An example can be found here. By removing these barriers, students are free to delve into the material and develop a deeper understanding of the underlying principles. This approach can further foster creativity, curiosity, and a passion for learning among students, while also equipping them with the tools they need to succeed in their future academic pursuits. 

     

    Arguably the most difficult aspect of social constructivism to implement using Maple Learn is the “social” aspect of it all which requires a bit of creativity. The goal is not to eliminate the use of teachers, but rather have teachers present the material in a different light. The teacher still decides what students learn in the classroom (or maybe that’s already decided by  the government agency) but how they learn the material is up to the teacher. After interacting with Maple Learn and coming up with interesting solutions, students can trade their responses with their peers to evaluate one another’s responses, approaches, ideas, and solutions to a problem. Students definitely learn more from each other and I believe as teachers, we should capitalize on this aspect. With many jurisdictions around the world adopting a student-centered approach to learning, it is time we advance our teaching styles. Even with the recent advances in AI, we still need to teach our kids how to think, and to think deeply. Tech can definitely help in this regard. 


    In summary, by emphasizing collaboration, critical thinking, and exploration, social constructivism encourages students to build their understanding of new concepts through interaction with others. Often seen as Thinking Classrooms, Maple Learn can supplement social constructivist classrooms by offering a blank canvas for students to explore mathematical concepts on their own, free from the limitations of traditional calculations and rote memorization. Together, these approaches can empower students to become active learners and critical thinkers, setting them on a path towards success in the classroom and beyond. Here are some “How-To” videos to help you get started with creating your own documents in Maple Learn. You can also browse the example gallery with thousands of existing examples here. Happy creating!

    A geometric transformation is a way of manipulating the size, position, or orientation of a geometric object. For example, a triangle can be transformed by a 180o rotation: 

    Learning about geometric transformations is a great way for students, teachers and anyone interested in math to get comfortable using x-y coordinates in the cartesian plane, and mapping functions from R2 to R2. Understanding geometric transformations is also an essential step to understanding higher-level concepts like the Transformations of Functions and Transformation Matrices.
    Check out the Geometric Transformations collection on Maple Learn to learn about this topic. Start out by playing with the Geometric Transformations Exploration document to build intuition about how objects are affected by each of the four transformation types: Dilation, Reflection, Rotation, and Translation. Once you are confident in your skills, try using the Single Geometric Transformation Quiz to test your knowledge.
    For those looking to expand their understanding of geometric transformations, the Combined Transformations Exploration document will let you explore how multiple transformations and the order of said transformations affect the final form of an object. For example, the blue polygon can be transformed into 2 different pink polygons depending on whether the reflection or rotation is performed first:

     


    Once you have the hang of combined transformations, try answering questions on the Combined Geometric Transformations Quiz

     

    How Can Maple Learn Help Address Math Anxiety in Classrooms?

     

    Math anxiety is referred to as negative behaviours such as uneasiness and general avoidance when asked to solve math problems. For teachers and teacher candidates, this can be due to various reasons such as previous negative experiences in math classes, learning styles that conflict with their math teacher, lack of self-confidence, low self-esteem, and stereotype issues related to the belief that math is for men only. Although it is commonly believed that math anxiety only exists in students, research has shown that math anxiety is present among elementary teacher candidates and elementary teachers, particularly women. Furthermore, research has shown that female teachers who suffer from math anxiety have a tendency to pass down their math anxious behaviours to students, particularly affecting more girls than boys. Since the majority of the elementary teaching staff are women, it is possible that a cyclic pattern will arise where teachers will pass down math anxiety to students, and these students will grow up dealing with math anxiety.

    As a current PhD candidate, I have taught elementary teacher candidates basic math knowledge. It was clear to me from the first day, math anxiety was very present within the students I had. Many of these teacher candidates had candidly revealed that they have not taken any math classes since Grade 11, which is the final grade in Ontario where math is mandatory. With Maple Learn, because manyof the documents are created by educators, these documents can function as learning materials which a teacher can use for extra practice and guidance. 

    One strategy to combat math anxiety in general is developing greater self-efficacy and confidence in their math skills. For example, using the Converting and Decimals to Fractions document, teachers and teacher candidates can use this as a tool to support their understanding and can help double-check their work. Unlike students, when learning about math concepts and skills in class, in addition to using online resources they also can ask teachers for help. Whereas for adult learning, it is possible that some may feel shy or embarrassed to seek help from others. On Maple Learn, there are multiple quizzes where a teacher can use as practice to further their understanding. In addition to the solution, these features also provide hints and a “check your work” button so that it can guide the teacher in solving such problems if stuck on a question. One of the cool features of these solutions is that they don’t just reveal the answer, but also include steps to solve the question whenever a teacher gets stuck.

     

    Furthermore, additional visualizations could be a useful tool for visual learners and serve as another method to understand and solve such math problems rather than solely relying on algebra. 

    The documents provided in the example gallery provide multiple different methods on understanding and solving math problems. For example, when multiplying fractions, one can either simplify before multiplying the fractions together or they can first multiply the fractions, then simplify.

    The more practice one does, the better they become at solving math problems, and if interested, Maple Learn has many quizzes that one can use to improve their math skills. For more fractions documents, check out this page here!

     

     

    TODAY I GOT AN INSPIRATION TO CREATE 3D GRAPH EQUATION OF WALKING ROBOT (ED-209) IN CARTESIAN SPACE USING ONLY WITH SINGLE IMPLICIT EQUATION.

    ENJOY...

     

    How to Create Graph Equation of Wankel Engine on Cartesian Plane using Single Implicit Function run by Maple Software

    Enjoy...

     

    It seems once in a while someone asks about converting from degrees minutes seconds format to decimal or the other way around. 

    I created a little procedure for just that purpose. 

    restart; gc()

    NULL

    A little procedure to convert the form of degrees, minutes, seconds to decimal and vice versa.  

    NULL

    dms := proc (d, m := 0, s := 0) local con, d1, d2, d3; if 0 < frac(d) then d1 := floor(d); d2 := floor(60*frac(d)); d3 := 60*frac(60*frac(d)); con := cat(d1, `° `, d2, `' `, d3, `"`) else con := d+m/60.+s/3600. end if; print(con) end proc

    NULL

    Examples of use.

     

    dms(45.2365)

    `45° 14' 11.4000"`

    (1)

    dms(45, 14, 11.4)

    45.23650000

    (2)

    NULL

    Download dms.mw

    edit - a quick realization is to remove the decimals that changes the fractions to floating decimals and change print(con) to print(evlaf(con)) to avoid rounding issues.

    This post is motivated by a question asked by @vs140580  ( The program is making intercept zero even though There is a intercept in regression Fit (A toy code showing the error attached) ).

    The problem met by @vs140580 comes from the large magnitudes of the (two) regressors and the failure to Fit/LinearFit to find the correct solution unless an undecent value of Digits is used.
    This problem has been answerd by @dharr after scaling the data (which is always, when possible, a good practice) and by 
    myself while using explicitely the method called "Normal Equations" (see https://en.wikipedia.org/wiki/Least_squares).

    The method of "Normal Equations" relies upon the inversion of a symmetric square matrix H whose dimension is equal to the number of coefficients of the model to fit.
    It's well known that this method can potentially lead to matrices H extremely ill-conditionned, and thus face severe numerical problems (the most common situation being the fit of a high degree polynomial).
     

    About these alternative methods:

    • In English: http://www.math.kent.edu/~reichel/courses/intr.num.comp.1/fall09/lecture4/lecture4.pdf
    • In French: https://moodle.utc.fr/pluginfile.php/24407/mod_resource/content/5/MT09-ch3_ecran.pdfI


    The attached file illustrates how the QR decomposition method works.
    The test case is @vs140580's.

    Maybe the development team could enhance Fit/LinearFit in future versions by adding an option which specifies what method is to be used?

     

    restart:

    with(Statistics):

    interface(version)

    `Standard Worksheet Interface, Maple 2015.2, Mac OS X, December 21 2015 Build ID 1097895`

    (1)

    Data := Matrix([[4.74593554708566, 11385427.62, 2735660038000], [4.58252830679671, 25469809.77, 12833885700000], [4.29311160501838, 1079325200, 11411813200000000], [4.24176959154225, 1428647556, 18918585950000000], [5.17263072694618, 1428647556, 18918585950000000], [4.39351114955735, 1877950416, 30746202150000000], [4.39599006758777, 1428647556, 18918585950000000], [5.79317412396815, 2448320309, 49065217290000000], [4.48293612651735, 2448320309, 49065217290000000], [4.19990181982522, 2448320309, 49065217290000000], [5.73518217699046, 1856333905, 30648714900000000], [4.67943831980476, 3071210420, 75995866910000000], [4.215240105336, 2390089264, 48670072110000000], [4.41566877563247, 3049877383, 75854074610000000], [4.77780395369828, 2910469403, 74061327950000000], [4.96617430604669, 1416936352, 18891734280000000], [4.36131111330988, 1416936352, 18891734280000000], [5.17783192063198, 1079325200, 11411813200000000], [4.998266287191, 1067513353, 11402362980000000], [4.23366152474871, 2389517120, 48661380410000000], [4.58252830679671, 758079709.3, 5636151969000000], [6.82390874094432, 1304393838, 14240754750000000], [4.24176959154225, 912963601.2, 8621914602000000], [4.52432881167557, 573965555.4, 3535351888000000], [4.84133601918601, 573965555.4, 3535351888000000], [6.88605664769316, 732571773.2, 5558875538000000], [4.35575841415627, 1203944381, 13430693320000000], [4.42527441640593, 955277678, 8795128298000000], [6.82390874094432, 997591754.9, 8968341995000000], [4.35144484433733, 143039477.1, 305355143300000]]):

    # Direct use of LinearFit.
    #
    # As far as I know LinearFit is based on the resolution of the "Normal Equations"
    # (see further down), a system of equations that is known to be ill-conditioned
    # when regressors have large values (in particular when polynomial regression
    # is used).

    X := Data[.., [2, 3]]:
    Y := Data[.., 1]:


    LinearFit(C1+C2*v+C3*w, X, Y, [v, w]);

    Warning, model is not of full rank

     

    HFloat(6.830889923844425e-9)*v-HFloat(2.275143726335622e-16)*w

    (2)

    # For roundoff issues the 3-by-3 matrix involved in the "Normal Equations" (NE)
    # appears to of rank < 3.
    # The rank of this matrix is rqual to 1+rank(X) and one can easily verify that
    # the 2 columns of X are linearly independent:

    LinearAlgebra:-LinearSolve(X, Vector(numelems(Y), 0));
    LinearAlgebra:-Rank(X);

     

    Vector[column]([[0.], [-0.]])

     

    2

    (3)

    # Solve the least squares problem by using explicitely the NE.
    #
    # To account for an intercept we augment X by a vector column of "1"
    # traditionally put in column one.
    Z := `<|>`(Vector(numelems(Y), 1), X):  
    A := (Z^+ . Z)^(-1) . Z^+ . Y;          # Normal Equations

    A := Vector(3, {(1) = 4.659353816079307, (2) = 0.5985084089529947e-9, (3) = -0.27350964718426345e-16}, datatype = float[8])

    (4)

    # What is the rank of Z?
    # Due to the scale of compared to "1", Rank fails to return the good value
    # of rank(Z), which is obviously equal to rank(X)+1.

    LinearAlgebra:-LinearSolve(Z, Vector(numelems(Y), 0));
    LinearAlgebra:-Rank(Z);

    Vector[column]([[0.], [0.], [-0.]])

     

    2

    (5)


    A WORKAROUND : SCALING THE DATA

    model := unapply( LinearFit(C1+C2*v+C3*w, Scale(X), Scale(Y), [v, w]), [v, w] );

    proc (v, w) options operator, arrow; -HFloat(1.264691577813453e-15)+HFloat(0.6607154853418553)*v-HFloat(0.8095150669884322)*w end proc

    (6)

    mX, sX := (Mean, StandardDeviation)(X);
    mY, sY := (Mean, StandardDeviation)(Y);

    mX, sX := Vector[row](2, {(1) = 1447634550.7963333, (2) = 24441399854567932.}, datatype = float[8]), Vector[row](2, {(1) = 871086770.7242773, (2) = 23354440973344224.}, datatype = float[8])

     

    HFloat(4.857279402730572), HFloat(0.789073010656694)

    (7)

    MODEL := model((x1-mX[1])/sX[1], (x2-mX[2])/sX[2]) * sY + mY

    HFloat(4.659353816079309)+HFloat(5.985084089530032e-10)*x1-HFloat(2.7350964718426736e-17)*x2

    (8)

    # Check that the vector of regression coefficients is almost equal to A found above
    # relative error lesst than 10^(-14)

    A_from_scaling       := < coeffs(MODEL) >:
    Relative_Discrepancy := (A_from_scaling - A) /~ A

    Relative_Discrepancy := Vector(3, {(1) = 0.5718679809000842e-15, (2) = 0.14166219140514066e-13, (3) = 0.14308415396983588e-13}, datatype = float[8])

    (9)


    THE QR DECOMPOSITION  (applied on raw data)

    The QR decomposition, as well as Given's rotation method, are two alternatives to the the NE method
    to find the vector of regression coefficients.
    Both of them are known to be less sensitive to the magnitudes of the regressors and do nt require (not
    always) a scaling of the data (which can be quite complex with polynomial regression or when some
    transformation is used to liearize the statistical model, for instanc Y=a*exp(b*X) --> log(Y)=log(a)+b*X).

    N := numelems(Y);
    P := numelems(Z[1]);

    30

     

    3

    (10)

    # Perform the QR decomposition of Z.

    Q, R := LinearAlgebra:-QRDecomposition(Z, fullspan);

    Q, R := Vector(4, {(1) = ` 30 x 30 `*Matrix, (2) = `Data Type: `*float[8], (3) = `Storage: `*rectangular, (4) = `Order: `*Fortran_order}), Vector(4, {(1) = ` 30 x 3 `*Matrix, (2) = `Data Type: `*float[8], (3) = `Storage: `*triangular[upper], (4) = `Order: `*Fortran_order})

    (11)

    # Let C the column vector of length P defined by:

    C := (Q^+ . Y)[1..P];

    C := Vector(3, {(1) = -26.6044149698075, (2) = -.517558353158176, (3) = -.881007519371895})

    (12)

    # Then the vector of regression coefficients is given by:

    A_QR                 := (R[1..P, 1..P])^(-1) . C;
    Relative_Discrepancy := (A_QR - A) /~ A

    A_QR := Vector(3, {(1) = 4.65935381607931, (2) = 0.5985084090e-9, (3) = -0.2735096472e-16})

     

    Relative_Discrepancy := Vector(3, {(1) = 0.3812453206e-15, (2) = 0.1105656128e-13, (3) = 0.1216778632e-13})

    (13)

    # The matrix H = Z^+ . Z writes

    H                    := Z^+ . Z:
    H_QR                 := R^+ . Q^+ . Q . R:
    Relative_Discrepancy := (H_QR - H) /~ H

    Relative_Discrepancy := Matrix(3, 3, {(1, 1) = -0.1184237893e-15, (1, 2) = 0., (1, 3) = -0.3491343943e-15, (2, 1) = 0., (2, 2) = 0.1930383052e-15, (2, 3) = 0.3369103254e-15, (3, 1) = -0.1745671971e-15, (3, 2) = -0.5053654881e-15, (3, 3) = -0.1366873891e-15})

    (14)

    # H_QR expression is required to obtain the covariance matrix of the regression coefficients.


     

    Download LeastSquares_and_QRdecomposition.mw


     

     

    # countourplot3d piggybacks on top of plot3d.
    # For the "coloring=[lowColor, highColor]", the "filledregions=true" option must be present.
    # If "filledregions=true" is not present, plot3d will throw an error.
    # This code shows the three cases, only one of which will work.
    Note to support. I cannot add a new tag. contourplot3d should be a tag.

    restart;
    with(plots);
    with(ColorTools);
    cGr4s := Color([0.50, 0.50, 0.50]);
    contourplot3d(-5*d/(d^2 + y^2 + 1), d = -3 .. 3, y = -3 .. 3, color = black, thickness = 3, coloring = [cGr4s, cGr4s], contours = [-2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2]);
    contourplot3d(-5*d/(d^2 + y^2 + 1), d = -3 .. 3, y = -3 .. 3, filledregions = false, color = black, thickness = 3, coloring = [cGr4s, cGr4s], contours = [-2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2]);
    contourplot3d(-5*d/(d^2 + y^2 + 1), d = -3 .. 3, y = -3 .. 3, filledregions = true, color = black, thickness = 3, coloring = [cGr4s, cGr4s], contours = [-2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2]);

    CREATING GRAPH EQUATION OF "DNA" IN CARTESIAN SPACE USING PARAMETRIC SURFACE EQUATION RUN ON MAPLE SOFTWARE

    ENJOY...

     

    Happy Springtime to all in the MaplePrimes Community! Though some in our community may not live in the northern hemisphere where flowers are beginning to bloom, many will be celebrating April holidays like Ramadan, Passover, and Easter.

    One of my favorite springtime activities is decorating eggs. Today, the practice is typically associated with the Christian holiday of Easter. However, painted eggs have roots in many cultures.

    For over 3,000 years, painting eggs has been a custom associated with the holiday of Nowruz, or Persian New Year, during the spring equinox. Furthermore, in the Bronze Age, decorated ostrich eggs were traded as luxury items across the Mediterranean and Northern Africa. Dipped eggs have also played an important role in the Jewish holiday of Passover since the 16th century.

    To celebrate this tradition, I would like to invite all of the Maplesoft community to create a decorated egg of their own with the Easter Egg Art Maple Learn document. In this document, an ovoid egg equation is used to define the shape of an egg. 



    The ovoid egg equation mimics the shape of a typical hen’s egg. Each bird species lays differently shaped eggs. For example, an ostrich’s egg is more oblong than an owl’s, and an owl’s egg is rounder than a goose’s. Surprisingly, every egg can be described by a single equation with four parameters:



    Learn more about this equation and others like it with John May’s Egg Formulas Maple Learn document.

    The Easter Egg Art document includes 9 different decorative elements; users can change the color, position, and size of each in order to create their own personal egg! The egg starts out looking like this:



    In just a couple of minutes, you can create a unique egg. Have fun exploring this document and share a screenshot of your egg in the comments below!  Here’s one I made:


    How to Create Graph Equation of Water Drop Wave in Cartesian Space using single Implicit Function only run by Maple Software

    The Equation is:   z = - cos( (x2+y2)0.5 - a)  with paramater a is moving form 0 to 2pi 

    Enjoy...

    Plese Click link below to see full equation in Maple software

    Water_Drop_Wave.mw

    MapleFlow is showing the exact same icon in the taskbar as Maple when both are open.  Be nice if they were slightly different.

     

    Several studies, such as “Seeing and feeling volumes: The influence of shape on volume perception”, have shown that people have a tendency to overestimate the volume of common objects, such as glasses and containers, that are tall and thin and underestimate those that are short and wide; this phenomenon is called “elongation bias”. 

     

    Sue Palmberg, an instructor at Edwin O. Smith High School, created and shared with us a lab activity for students to design a glass in Maple and use volumes of revolution to determine the amount of liquid it can hold. This lab was then turned into this Maple Learn document: Piecewise Volumes of Revolution Activity.

     

    Use this document to create your own glass or goblet shape and determine its volume. Simply create a piecewise function that will define the outside shape of your glass between your chosen bounds and another piecewise function to define the hollowed-out part of your creation. The document will graph the volumes of revolution that represent your glass and calculate the relevant volume integral for you.

     

    Here is my own goblet-shaped creation: 

    I used this piecewise function to define it:

    After creating the outline of my goblet, I constructed a function for the hollow part of the goblet – the part that can actually hold liquid.

     

     

    Using Context Panel operations and the volume integral provided by the document, I know that the volume of the hollow part of my goblet is approximately 63.5, so my goblet would hold around 63.5 units3 of liquid when full.

    Create your own goblets of varying shapes and see if their volumes surprise you; elongation bias can be tricky! For some extra help, check out the Piecewise Functions and Plots and Solids of Revolution - Volume Derivation documents!

    Creating Graph Equation of An Apple in Cartesian Space using single Implicit Function only run by Maple software

    Enjoy...

    Please click the link below to see full equation on Maple file:

    2._Apel_3D_A.mw

     

    Creating Graph Equation of A Candle on Cartesian Plane using single Implicit Function only run by Maple software

    Enjoy...

    3D_Candle.mw

    Sea_Shells.mw

     

     

     

    Today I'm very greatfull to have Inspiration to create Graph Equation of 3D Candle in Cartesian Space using single 3D Implicit Function only, run by Maple software.

    Enjoy... 

    Candle_1.mw

     

    Today I got an inspiration to create graph equation of "Petrol Truck" using only with Single Implicit Equation in Cartesian space run by Maple Software

    Maple software is amazing...

    Enjoy...

     

    CREATING 3D GRAPH EQUATION OF BACTERIOPHAGE USING ONLY WITH SINGLE IMPLICIT EQAUTION IN CARTESIAN SPACE RUN BY MAPLE SOFTWARE

    MAPLE SOFTWARE IS AMAZING...

    ENJOY...

     

    GRAPH EQUATION OF A FEATHER

    AND THE EQUATION IS:

    ENJOY...

    I like this Equation and post it because it is so beautiful...

    Click this link below to see full equation and download the Maple file: 

    Bulu_Angsa_3.mw

     

    GRAPH EQUATION OF "383" CREATED BY DHIMAS MAHARDIKA

    ENJOY...

    with(plots):

    DHIMAS MAHARDIKA EQUATION

    plots:-implicitplot(15-8.*cos(y)^(79/2)-32.*cos(y)^(37/2)+96.*cos(y)^(33/2)-96.*cos(y)^(29/2)+4.*cos(x)^(61/2)+4.*cos(x)^(31/2)-12.*cos(x)^(27/2)+12.*cos(x)^(23/2)+24.*cos(y)^29-48.*cos(y)^27+16.*cos(y)^8-64.*cos(y)^6+96.*cos(y)^4-4.*cos(x)^(19/2)-6.*cos(x)^19-4.*cos(x)^(57/2)+32.*cos(y)^(25/2)+24.*cos(y)^25+8.*cos(y)^(75/2)-cos(x)^38+cos(y)^50-64.*cos(y)^2+4.*cos(x)^2-6.*cos(x)^4+4.*cos(x)^6-cos(x)^8+12.*cos(x)^21-6.*cos(x)^23, x = -15 .. 15, y = -15 .. 15, numpoints = 50000, thickness = 4, colour = blue)

     

    NULL

    Download 383.mw

     

    Drawing Eifel Tower using Implicit Equation in Cartesian Space 

     

    The recent Maple 2023 release comes with a multitude of new features, including a new Canvas Scripting Gallery full of templates for creating interactive Maple Learn documents.

    The Maple Learn Scripting Gallery can be accessed through Maple, by searching “BuildInteractiveContent Maple2023” in the search bar at the top of the application and clicking on the only result that appears. This will bring you to the help page titled “Build and Share Interactive Content”, which can also be found by searching “scripting gallery” in the search bar of a Maple help page window. The link to the Maple Learn Scripting Gallery is found under the “Canvas Scripting” section on this help page and clicking on it will open a Maple workbook full of examples and templates for you to explore.

    The interactive content in the Scripting Gallery is organized into five main categories – Graphing, Visualization, Quiz, Add-ons and Options, and Applications Optimized for Maple Learn – each with its own sub-categories, templates, and examples.

    One of the example scripts that I find particularly interesting is the “Normal Distribution” script, under the Visualizations category.

     

     

    All of the code for each of the examples and templates in the gallery is provided, so we can see exactly how the Normal Distribution script creates a Maple Learn canvas. It displays a list of grades, a plot for the grade distribution to later appear on, math groups for the data’s mean and variance, and finally a “Calculate” button that runs a function called UpdateStats.

    The initial grades loaded into the document result in the below plot, created using Maple’s DensityPlot and Histogram functions, from the Statistics package. 




     

    The UpdateStats function takes the data provided in the list of grades and uses a helper function, getDist, to generate the new plot to display the data, the distribution, the mean, and the variance. Then, the function uses a Script object to update the Maple Learn canvas with the new plot and information.

    The rest of the code is contained in the getDist function, which uses a variety of functions from Maple’s Statistics package. The Normal Distribution script takes advantage of Maple’s ability to easily calculate mean and variance for data sets, and to use that information to create different types of random variable distributions.

    Using the “Interactive Visualization” template, provided in the gallery, many more interactive documents can be created, like this Polyhedra Visualization and this Damped Harmonic Oscillator – both from the Scripted Gallery or like my own Linear Regression: Method of Least Squares document.


     

    Another new feature of Maple 2023 is the Quiz Builder, also featured in the Scripting Gallery. Quizzes created using Quiz Builder can be displayed in Maple or launched as Maple Learn quizzes, and the process for creating such a quiz is short.

    The QuizBuilder template also provides access to many structured examples, available from a dropdown list:


    As an example, check out this Maple Learn quiz on Expected Value: Continuous Practice. Here is what the quiz looks like when generated in Maple:


     

    This quiz, in particular, is “Fill-in the blank” style, but Maple users can also choose “Multiple Choice”, “True/False”, “Multiple Select”, or “Multi-Line Feedback”. It also makes use of all of the featured code regions from the template, providing functionality for checking inputted answers, generating more questions, showing comprehensive solutions, and providing a hint at the press of a button.

    Check out the Maple Learn Scripting Gallery for yourself and see what kinds of interactive content you can make for Maple and Maple Learn!

     

    Maple 2023: The colorbar option for contour plots does not work when used with the Explore command. See the example below.

    No_colorbar_when_exploring_contour_plots.mw
     

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