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Safety barriers are installed in areas where hazards may occur, keeping the environment safe where vehicles, goods, and people move. It is an important protective measure for road safety and factory safety. So how do you choose a reliable safety barrier product? A lot depends on a reliable safety barrier manufacturer. In today’s guide, we’ll introduce you to 10 reliable security barrier manufacturers in the United States. Read on to learn more.

The complete Maple Conference 2024 program is now available online. You can view it HERE.
Thank you to all those who voted for the "Audience Choice" sessions. The winning topics are listed in the program.

Registration is still open and free of charge.  

We hope to see you there!

Just finished an exciting lecture for undergraduate students on Euler methods for solving ordinary differential equations (ODEs)! 📝 We explored the Euler method and the Improved Euler method (a.k.a. Heun's method) and discussed how these fundamental techniques work for approximating solutions to ODEs.

To make things practical and hands-on, I demonstrated how to implement both methods using Maple—a fantastic tool for experimenting with numerical methods. Seeing these concepts come to life with visualizations helps understand the pros and cons of each method.

The Euler method is the simplest numerical approach, where we approximate the solution by stepping along the slope given by the ODE. But there's a catch: using a large step size can lead to large errors that accumulate quickly, causing significant deviation from the real solution.

Plot Results:

• With a larger step size (h=0.5h = 0.5h=0.5), the solution tends to drift away significantly from the actual curve.
• Reducing the step size improves accuracy, but it also means more steps and more computation.

Next, we discussed the Improved Euler method, which is like Euler's smarter sibling. Instead of blindly following the initial slope, it:

1. Estimates the slope at the start.
2. Uses that slope to predict an intermediate value.
3. Then, it takes another slope at the intermediate point.
4. Averages these two slopes for a better approximation.

This technique makes a big difference in accuracy and stability, especially with larger step sizes.

Plot Results:

• Using the Improved Euler method, we found that even with a larger step size, the solution is smoother and closer to the true path.
• The average slope helps mitigate the inaccuracies that arise from only using the beginning point's derivative, effectively reducing the local error.

• The standard Euler method can produce solutions that oscillate or diverge, especially for larger step sizes.
• The Improved Euler method follows the actual trend of the solution more faithfully, even with fewer steps. This makes it a more efficient choice for balancing computational effort and accuracy.

• The Euler method is great for its simplicity but often requires very small step sizes to be accurate, leading to more computational effort.
• The Improved Euler method—which we implemented and visualized on Maple—proved to be more reliable and accurate, especially for larger step sizes.

It was amazing to see the students engage with these foundational methods, and implementing them on Maple brought a deeper understanding of numerical analysis and the challenges of solving differential equations.

Download Diff_equations.mw

Hello,

Below I am attaching a Maple worksheet on rolling a circle on a flat curve and generating a cycloidal curve.

Regards!

Cycloidal_curve.mw



 

This is a task from one forum:  “Let's mark an arbitrary point on the circle. Let's draw a segment from this point, perpendicular to the diameter, and draw a circle, the center of which is at this point, and the radius is equal to this segment. Let's mark the intersection point of the segment connecting the intersection points of the circles with the perpendicular segment. Prove that the locus of all such points is an ellipse.”
I wanted to get a picture of a numerically animated "proof" using Maple tools.
МАTH_HЕLP_PLANET.mw
 And in fact, it turned out that AB=2AC, or AC=BC.

In this post, I would like to share some exercises that I recently taught to an undergraduate student using Maple. These exercises aimed to deepen their understanding of mathematical concepts through computational exploration and visualization. With its powerful symbolic computation capabilities, Maple proved to be an excellent tool for this purpose. Below, I present a few of the exercises and the insights they provided. Interestingly, the student found Maple to be more user-friendly and efficient compared to the software he usually uses for his studies. Below, I present a few of the exercises and the insights they provided.

One of the first topics we tackled was the Fourier series. We used Maple to illustrate how the Fourier series approximates a given function as more terms are added. We explored this through both static plots and interactive animations.

To help the student understand the behavior of different types of functions, we defined piecewise functions using Maple's piecewise command. This allowed us to model functions that behave differently over various intervals, such as the following cubic function exercise

Maple's Explore command was an effective tool for creating an interactive learning environment. We used it to create sliders that allowed the student to vary parameters, such as the number of terms in a Fourier series, and see the immediate impact on the plot.

Download Fourier_Series.mw

Source codes (seen in the pdf file) for the paper "Maximal Gap Among Integers Having a Common Divisor with an Odd Semi-prime".

MaxGapTheorem2.pdf

The flag of Germany on the strip of the German mathematician August Ferdinand Möbius. Basically, it's just one way to represent flags of a certain type. It seemed that the flag looked good on the Mobius strip.
FLAG.mw

Hello!

I present a simple work-up of rolling a plane curve along a fixed plane curve in 2d space. Maple sources are attached.

Kind regards!

Source.zip

From a discussion about expanding unit expressions with compound units I concluded that expanding derived units such as Newton, Watt, Volt, Tesla,... to SI base units is difficult in Maple.

Unintentionally, I came across a rather simple solution for SI units.

toSIbu := x -> x = Units:-Unit(simplify(x/Unit('kg'))*Unit('kg'));

converts derived SI units to SI base units. It’s the inverse of what the units packages and simplify do (i.e. simplification to derived units).

What makes it maybe more interesting: It also works, again unintentionally, on other units than SI units. If, one day, you come along an erg or a hartree or or a kyne and you cannot guess the SI units convert/units needs, try

toSIbu(Unit('pound'));
toSIbu(Unit('hp'));
toSIbu(Unit('electron'));
toSIbu(Unit('hartree'));
toSIbu(Unit('bohr'));
toSIbu(Unit('barye'));
toSIbu(Unit('kyne'));
toSIbu(Unit('erg'));
toSIbu(Unit(mile/gal(petroleum)));

Maybe handy one day when you do not trust AI or the web.

Download toSIbu.mw

(All done with Maple 2024 without loading any package)

Today in class, we presented an exercise based on the paper titled "Analysis of regular and chaotic dynamics in a stochastic eco-epidemiological model" by Bashkirtseva, Ryashko, and Ryazanova (2020). In this exercise, we kept all parameters of the model the same as in the paper, but we varied the parameter β, which represents the rate of infection spread. The goal was to observe how changes in β impact the system's dynamics, particularly focusing on the transition between regular and chaotic behavior.

Download math_model_eco-epidemiology.mw

This is another attempt to tell about one way to solve the problem of inverse kinematics of a manipulator.  
We have a flat three-link manipulator. Its movement is determined by changing three angles - these are three control parameters. 1. the first link rotates around the black fixed point, 2. the second link rotates around the extreme movable point of the first link, 3. the third link − around the last point of the second link. These movable points are red. (The order of the links is from thick to thin.) The working point is green. For example, we need it to move along a circle. But the manipulator has one extra mobility (degree of freedom), that is, the problem has an infinite number of solutions. We have the ability to remove this extra degree of freedom mathematically. And this can also be done in an infinite number of ways.
Let us give two examples where the same manipulator performs the same movement of the working point in different ways. In one case the last red point moves in a straight line, and in the other case it moves in an ellipse. The result is the same. In the corresponding program texts, the manipulator model is described by a system of nonlinear equations f1, f2, f3, f4, f5 relative to the coordinates of the ends of the links (very easy to understand). The specific additional connection that takes away one degree of freedom is highlighted in blue. Equation of a circle in red color.
1.mw

2.mw


And as an elective. The same circle was obtained using a spatial 3-link manipulator with 5 degrees of freedom. In the last text, blue and red colors perform the same functions as in the previous texts.
3.mw

 

I'm excited to announce the creation of a new LinkedIn group, Maple Software Community! This group is dedicated to discussions about the use of Maple software and is designed to be a valuable resource for undergraduate and graduate students, researchers, and all Maple enthusiasts.

By joining this community, you'll have the opportunity to:

• Learn about upcoming events and workshops that can enhance your skills.
• Stay informed on the latest projects that leverage Maple software.
• Engage in discussions that explore the many uses of Maple across various fields.
• Connect with Maple ambassadors and users worldwide who are eager to share their knowledge and experience.

Whether you're a seasoned user or just starting out with Maple, your contributions to this group are welcome and encouraged. Let's build a thriving community together!

Looking forward to seeing you there! 

Maple Software Community

I'm excited to share some valuable resources that I've found incredibly helpful for anyone looking to enhance their Maple skills. Whether you're just starting, studying as a student, or are a seasoned professional, these guides and books offer a wealth of information to aid your learning journey.

Exploring Discrete Mathematics With Maple

These materials are freely available and can be a great addition to your learning resources. They cover a wide range of topics and are designed to help users at all levels improve their Maple proficiency.

You can add your own sources in a comment!

Happy learning and I hope you find these resources as useful as I have!

VerifyTools is a package that has been available in Maple for roughly 24 years, but until now it has never been documented, as it was originally intended for internal use only. Documentation for it will be included in the next release of Maple. Here is a preview:

VerifyTools is similar to the TypeTools package. A type is essentially a predicate that a single expression can either satisfy or not. Analogously, a verification is a predicate that applies to a pair of expressions, comparing them. Just as types can be combined to produce compound types, verifications can also be combined to produce compund verifications. New types can be created, retrieved, queried, or deleted using the commands AddType, GetType (or GetTypes), Exists, and RemoveType, respectively. Similarly in the VerifyTools package we can create, retrieve, query or delete verifications using AddVerification, GetVerification (or GetVerifications), Exists, and RemoveVerification.

The package command VerifyTools:-Verify is also available as the top-level Maple command verify which should already be familiar to expert Maple users. Similarly, the command VerifyTools:-IsVerification is also available as a type, that is,

VerifyTools:-IsVerification(ver);

will return the same as

type(ver, 'verification');

The following examples show what can be done with these commands. Note that in each example where the Verify command is used, it is equivalent to the top-level Maple command verify. (Also note that VerifyTools commands shown below will be slightly different compared to the Maple2024 version):

Download VerificationTools_blogpost.mw

Austin Roche
Software Architect
Mathematical Software
Maplesoft