New Application Center Additions
https://www.maplesoft.com/applications
en-us2020 Maplesoft, A Division of Waterloo Maple Inc.Maplesoft Document SystemSat, 18 Jan 2020 07:42:49 GMTSat, 18 Jan 2020 07:42:49 GMTThe latest content added to the Application Centerhttps://www.maplesoft.com/images/Application_center_hp.jpgNew Application Center Additions
https://www.maplesoft.com/applications
Fitting the Steinhart-Hart Equation to Thermistor Data
https://www.maplesoft.com/applications/view.aspx?SID=154594&ref=Feed
The Steinhart-Hart equation is an empirical relationship between the temperature and resistance of a thermistor with a negative temperature coefficient (that is, a thermistor whose resistance decreases with temperature).
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1/T = A + B*ln(R) + C*ln(R)^3
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A, B and C are determined by calibrating the equation against experimental data. This application fits data for a A-10K3A1 thermistor to the Steinhart-Hart Equation.
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Specifically, this application implements the method of determining A, B and C described on the Wikipedia page for the Steinhart-Hart equation. This approach uses three pairs of values of temperature and resistance.<img src="https://www.maplesoft.com/view.aspx?si=154594/thumb.png" alt="Fitting the Steinhart-Hart Equation to Thermistor Data" style="max-width: 25%;" align="left"/>The Steinhart-Hart equation is an empirical relationship between the temperature and resistance of a thermistor with a negative temperature coefficient (that is, a thermistor whose resistance decreases with temperature).
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1/T = A + B*ln(R) + C*ln(R)^3
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A, B and C are determined by calibrating the equation against experimental data. This application fits data for a A-10K3A1 thermistor to the Steinhart-Hart Equation.
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Specifically, this application implements the method of determining A, B and C described on the Wikipedia page for the Steinhart-Hart equation. This approach uses three pairs of values of temperature and resistance.https://www.maplesoft.com/applications/view.aspx?SID=154594&ref=FeedFri, 20 Dec 2019 05:00:00 ZSamir KhanSamir KhanMaplets etoile de neige et étoiles imbriquées
https://www.maplesoft.com/applications/view.aspx?SID=154588&ref=Feed
Cette Maplet permet de genérer des étoiles de neige,des sapins ou des fougères.
On peut sauvegarder le dessin en .gif<img src="https://www.maplesoft.com/view.aspx?si=154588/flocon_de_neige.jpg" alt="Maplets etoile de neige et étoiles imbriquées" style="max-width: 25%;" align="left"/>Cette Maplet permet de genérer des étoiles de neige,des sapins ou des fougères.
On peut sauvegarder le dessin en .gifhttps://www.maplesoft.com/applications/view.aspx?SID=154588&ref=FeedTue, 17 Dec 2019 05:00:00 Zxavier cormierxavier cormierPlotting the Frequency Response of a Digital Filter
https://www.maplesoft.com/applications/view.aspx?SID=154591&ref=Feed
This application provides a procedure FilterFrequencyResponse that plots the magnitude and phase response of an IIR or FIR filter. This procedure is used to illustrate the frequency response of several filters.
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For an
<UL>
<LI>IIR filter, FilterFrequencyResponse expects two lists of taps of equal length (the coefficients of the numerator and denominator of the transfer function)
<LI>FIR filter, FilterFrequencyResponse expects a single list of taps
</UL>
Maple has three functions for generating filter taps (that is, the coefficients of the filter transfer function): <A HREF="https://www.maplesoft.com/support/help/Maple/view.aspx?path=SignalProcessing/GenerateButterworthTaps">GenerateButterworthTaps</A>, <A HREF="https://www.maplesoft.com/support/help/Maple/view.aspx?path=SignalProcessing%2fGenerateButterworthTaps">GenerateChebyshev1Taps</A> and <A HREF="https://www.maplesoft.com/support/help/Maple/view.aspx?path=SignalProcessing/GenerateFiniteImpulseResponseFilterTaps">GenerateFIRFilterTaps</A>.
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GenerateButterworthTaps and GenerateChebyshev1Taps give a single array that contains the coefficients of the numerator and denominator of the transfer function. The first half are the coefficients of the numerator, while the latter half are the coefficients of the denominator; these must be provided to FilterFrequencyResponse separately, and not as a single list.<img src="https://www.maplesoft.com/view.aspx?si=154591/digital_filter.png" alt="Plotting the Frequency Response of a Digital Filter" style="max-width: 25%;" align="left"/>This application provides a procedure FilterFrequencyResponse that plots the magnitude and phase response of an IIR or FIR filter. This procedure is used to illustrate the frequency response of several filters.
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For an
<UL>
<LI>IIR filter, FilterFrequencyResponse expects two lists of taps of equal length (the coefficients of the numerator and denominator of the transfer function)
<LI>FIR filter, FilterFrequencyResponse expects a single list of taps
</UL>
Maple has three functions for generating filter taps (that is, the coefficients of the filter transfer function): <A HREF="https://www.maplesoft.com/support/help/Maple/view.aspx?path=SignalProcessing/GenerateButterworthTaps">GenerateButterworthTaps</A>, <A HREF="https://www.maplesoft.com/support/help/Maple/view.aspx?path=SignalProcessing%2fGenerateButterworthTaps">GenerateChebyshev1Taps</A> and <A HREF="https://www.maplesoft.com/support/help/Maple/view.aspx?path=SignalProcessing/GenerateFiniteImpulseResponseFilterTaps">GenerateFIRFilterTaps</A>.
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GenerateButterworthTaps and GenerateChebyshev1Taps give a single array that contains the coefficients of the numerator and denominator of the transfer function. The first half are the coefficients of the numerator, while the latter half are the coefficients of the denominator; these must be provided to FilterFrequencyResponse separately, and not as a single list.https://www.maplesoft.com/applications/view.aspx?SID=154591&ref=FeedTue, 17 Dec 2019 05:00:00 ZSamir KhanSamir KhanWelch's Method for Spectral Estimation
https://www.maplesoft.com/applications/view.aspx?SID=154592&ref=Feed
This worksheet implements Welch's method of spectral estimation. This approach involves
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<UL>
<LI>dividing the signal into overlapping segments
<LI>windowing each overlapping segment and taking the FFT
<LI>average the results of the previous step
</UL>
Welch's method attenuates the effect of signal noise on spectral estimation, but at the expense of reducing frequency resolution.<img src="https://www.maplesoft.com/view.aspx?si=154592/welch_method.png" alt="Welch's Method for Spectral Estimation" style="max-width: 25%;" align="left"/>This worksheet implements Welch's method of spectral estimation. This approach involves
<BR><BR>
<UL>
<LI>dividing the signal into overlapping segments
<LI>windowing each overlapping segment and taking the FFT
<LI>average the results of the previous step
</UL>
Welch's method attenuates the effect of signal noise on spectral estimation, but at the expense of reducing frequency resolution.https://www.maplesoft.com/applications/view.aspx?SID=154592&ref=FeedTue, 17 Dec 2019 05:00:00 ZSamir KhanSamir KhanSmoothing A Noisy Signal with a Savitzky-Golay Filter
https://www.maplesoft.com/applications/view.aspx?SID=154593&ref=Feed
This application smooths a noisy signal with a Savitzky-Golay filter.
<UL>
<LI>First, a noisy signal is artificially generated and sampled
<LI>Then, the Savitzky-Golay filter coefficients are computed
<LI>Finally, the filter coefficients are used to smooth the data
</UL><img src="https://www.maplesoft.com/view.aspx?si=154593/savitzky_golay_filter.png" alt="Smoothing A Noisy Signal with a Savitzky-Golay Filter" style="max-width: 25%;" align="left"/>This application smooths a noisy signal with a Savitzky-Golay filter.
<UL>
<LI>First, a noisy signal is artificially generated and sampled
<LI>Then, the Savitzky-Golay filter coefficients are computed
<LI>Finally, the filter coefficients are used to smooth the data
</UL>https://www.maplesoft.com/applications/view.aspx?SID=154593&ref=FeedTue, 17 Dec 2019 05:00:00 ZSamir KhanSamir KhanOptimizing the Design of a Helical Spring
https://www.maplesoft.com/applications/view.aspx?SID=154000&ref=Feed
The design optimization of helical springs is of considerable engineering interest, and demands strong solvers. While the number of constraints is small, the coil and wire diameters are raised to higher powers; this makes the optimization difficult for gradient-based solvers working in standard floating-point precision; a larger number of working digits is needed.
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Maple lets you increase the number of digits used in calculations; hence numerically difficult problems, like this, can be solved.
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This application minimizes the mass of a helical spring. The constraints include the minimum deflection, the minimum surge wave frequency, the maximum stress, and a loading condition.
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The design variables are the diameter of the wire, the outside diameter of the spring, and the number of coils.<img src="https://www.maplesoft.com/view.aspx?si=154000/helical_spring.png" alt="Optimizing the Design of a Helical Spring" style="max-width: 25%;" align="left"/>The design optimization of helical springs is of considerable engineering interest, and demands strong solvers. While the number of constraints is small, the coil and wire diameters are raised to higher powers; this makes the optimization difficult for gradient-based solvers working in standard floating-point precision; a larger number of working digits is needed.
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Maple lets you increase the number of digits used in calculations; hence numerically difficult problems, like this, can be solved.
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This application minimizes the mass of a helical spring. The constraints include the minimum deflection, the minimum surge wave frequency, the maximum stress, and a loading condition.
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The design variables are the diameter of the wire, the outside diameter of the spring, and the number of coils.https://www.maplesoft.com/applications/view.aspx?SID=154000&ref=FeedTue, 26 Nov 2019 05:00:00 ZSamir KhanSamir KhanEuler's Straight and more
https://www.maplesoft.com/applications/view.aspx?SID=154589&ref=Feed
This application draws the Euler line by inserting points A, B and C. Graph the medians, heights and mediatrices. It also performs and shows the calculation of the Baricentro, Ortocentro and Circuncentro as well as other calculations of interest on the triangle. App made for students of science and engineering. In Spanish.<img src="https://www.maplesoft.com/view.aspx?si=154589/recelr.png" alt="Euler's Straight and more" style="max-width: 25%;" align="left"/>This application draws the Euler line by inserting points A, B and C. Graph the medians, heights and mediatrices. It also performs and shows the calculation of the Baricentro, Ortocentro and Circuncentro as well as other calculations of interest on the triangle. App made for students of science and engineering. In Spanish.https://www.maplesoft.com/applications/view.aspx?SID=154589&ref=FeedMon, 18 Nov 2019 05:00:00 ZProf. Lenin Araujo CastilloProf. Lenin Araujo Castillo4D Spatially-Extended Photon and Electron Quantum Mechanical Observables For All Wavelengths and Energy Levels
https://www.maplesoft.com/applications/view.aspx?SID=154590&ref=Feed
4D Einstein-Maxwell energy density analysis initiates with the fact the quantum composed in the total field formal frame of the electromagnetic stress tensor T𝜇𝜈 of the Einstein equations, requires the negative outward pressure -Pa of quantum energy, e.g., as calculated by Baez and Tatom in "What's the energy density of the vacuum?", to have some nonstandard basis for the missing 4D quantum volumetric wavelength 𝜆 parameterization -- beyond the zero-dimensional (0D) Dirac delta functional 𝜹 imaginary-invisible mathematical point particle QED-Standard Model representations of the quantum mechanical observables. Accordingly, the present nonstandard 4D photon string-like cylindrical coordinate transverse lemniscate expansion of the Poynting energy flux vector over one wavelength renders for all 𝜆 the photon energy and angular momentum ℏ observables. Likewise, a 4D electron spherical coordinate expansion parameterized by the Bohr radii renders for all energy levels n the electron rest mass and angular momentum ℏ/2 observables.<img src="https://www.maplesoft.com/view.aspx?si=154590/4DPhotonElectron_11_4.gif" alt="4D Spatially-Extended Photon and Electron Quantum Mechanical Observables For All Wavelengths and Energy Levels" style="max-width: 25%;" align="left"/>4D Einstein-Maxwell energy density analysis initiates with the fact the quantum composed in the total field formal frame of the electromagnetic stress tensor T𝜇𝜈 of the Einstein equations, requires the negative outward pressure -Pa of quantum energy, e.g., as calculated by Baez and Tatom in "What's the energy density of the vacuum?", to have some nonstandard basis for the missing 4D quantum volumetric wavelength 𝜆 parameterization -- beyond the zero-dimensional (0D) Dirac delta functional 𝜹 imaginary-invisible mathematical point particle QED-Standard Model representations of the quantum mechanical observables. Accordingly, the present nonstandard 4D photon string-like cylindrical coordinate transverse lemniscate expansion of the Poynting energy flux vector over one wavelength renders for all 𝜆 the photon energy and angular momentum ℏ observables. Likewise, a 4D electron spherical coordinate expansion parameterized by the Bohr radii renders for all energy levels n the electron rest mass and angular momentum ℏ/2 observables.https://www.maplesoft.com/applications/view.aspx?SID=154590&ref=FeedMon, 18 Nov 2019 05:00:00 ZDavid HarnessDavid HarnessQuantum Electromagnetic Radiation Pressure Spectrum
https://www.maplesoft.com/applications/view.aspx?SID=154576&ref=Feed
Electromagnetic transverse wave energy density radiation pressure spectrum loglogplot of -Pa vs wavelength λ. Annotations indicate shorter λ are compressive of central cosmological constant vacuum energy density pressure Λ and longer λ rarefactive of Λ. Present 4D Einstein-Maxwell energy density analysis, of the computationally dualistic total field units of energy density and mass density pascals, introduces a nonstandard basis for the missing photon volumetric λ parameterization − missing in the zero-dimensional (0D) Dirac delta functional imaginary-invisible mathematical point particle QED-Standard Model representations of the photon. Equations (1-4) introduce a basis for quantum gravity renormalization, in terms of 4D spacetime curvature via quantum energy density computational duality with quantum mass density.<img src="https://www.maplesoft.com/view.aspx?si=154576/EMtransverseRadPaSpectrumGIF_10_15.gif" alt="Quantum Electromagnetic Radiation Pressure Spectrum" style="max-width: 25%;" align="left"/>Electromagnetic transverse wave energy density radiation pressure spectrum loglogplot of -Pa vs wavelength λ. Annotations indicate shorter λ are compressive of central cosmological constant vacuum energy density pressure Λ and longer λ rarefactive of Λ. Present 4D Einstein-Maxwell energy density analysis, of the computationally dualistic total field units of energy density and mass density pascals, introduces a nonstandard basis for the missing photon volumetric λ parameterization − missing in the zero-dimensional (0D) Dirac delta functional imaginary-invisible mathematical point particle QED-Standard Model representations of the photon. Equations (1-4) introduce a basis for quantum gravity renormalization, in terms of 4D spacetime curvature via quantum energy density computational duality with quantum mass density.https://www.maplesoft.com/applications/view.aspx?SID=154576&ref=FeedFri, 15 Nov 2019 05:00:00 ZDavid HarnessDavid HarnessHamilton equations with constraints for a system of N-rotators model
https://www.maplesoft.com/applications/view.aspx?SID=154586&ref=Feed
In this application the Hamilton equations for a system of classical linear rotators are numerically integrated, taking account of the holonomic constraints that must be satisfied as the system evolves in the phase space. For this purpose, a formal symplectic algorithm is proposed and tested.<img src="https://www.maplesoft.com/applications/images/app_image_blank_lg.jpg" alt="Hamilton equations with constraints for a system of N-rotators model" style="max-width: 25%;" align="left"/>In this application the Hamilton equations for a system of classical linear rotators are numerically integrated, taking account of the holonomic constraints that must be satisfied as the system evolves in the phase space. For this purpose, a formal symplectic algorithm is proposed and tested.https://www.maplesoft.com/applications/view.aspx?SID=154586&ref=FeedMon, 11 Nov 2019 05:00:00 ZLuis Sainz de los TerrerosLuis Sainz de los TerrerosNon-Nested Real Algebraic Numbers By Maple
https://www.maplesoft.com/applications/view.aspx?SID=154578&ref=Feed
Procedures are introduced to represent non-nested real algebraic numbers by matrices and compute conjugates and minimal polynomials of these numbers.<img src="https://www.maplesoft.com/applications/images/app_image_blank_lg.jpg" alt="Non-Nested Real Algebraic Numbers By Maple" style="max-width: 25%;" align="left"/>Procedures are introduced to represent non-nested real algebraic numbers by matrices and compute conjugates and minimal polynomials of these numbers.https://www.maplesoft.com/applications/view.aspx?SID=154578&ref=FeedSat, 26 Oct 2019 04:00:00 ZKahtan H. AlzubaidyKahtan H. AlzubaidyPole simulation with tensions
https://www.maplesoft.com/applications/view.aspx?SID=154577&ref=Feed
Application developed using Maple and MapleSim. You can observe the vector analysis using Maple and the simulation using MapleSim. Also included a video of the result. It is a simple structure. A pole fastened by two cables and a force applied to the top. The results are to calculate tensions one and two. Consider the mass of each rope. In Spanish.<img src="https://www.maplesoft.com/view.aspx?si=154577/structure.png" alt="Pole simulation with tensions" style="max-width: 25%;" align="left"/>Application developed using Maple and MapleSim. You can observe the vector analysis using Maple and the simulation using MapleSim. Also included a video of the result. It is a simple structure. A pole fastened by two cables and a force applied to the top. The results are to calculate tensions one and two. Consider the mass of each rope. In Spanish.https://www.maplesoft.com/applications/view.aspx?SID=154577&ref=FeedMon, 14 Oct 2019 04:00:00 ZProf. Lenin Araujo CastilloProf. Lenin Araujo CastilloCenter manifolds for two-dimensional systems of differential equations
https://www.maplesoft.com/applications/view.aspx?SID=154568&ref=Feed
This worksheet implements a reduction principle. It allows us to compute a polynomial approximation of center manifold with a specified maximal degree of the polynomial.<img src="https://www.maplesoft.com/view.aspx?si=154568/center.png" alt="Center manifolds for two-dimensional systems of differential equations" style="max-width: 25%;" align="left"/>This worksheet implements a reduction principle. It allows us to compute a polynomial approximation of center manifold with a specified maximal degree of the polynomial.https://www.maplesoft.com/applications/view.aspx?SID=154568&ref=FeedSun, 29 Sep 2019 04:00:00 ZVeronika HajnováVeronika HajnováCenter manifolds for three-dimensional systems of differential equations
https://www.maplesoft.com/applications/view.aspx?SID=154575&ref=Feed
This worksheet implements a reduction principle. It allows us to compute a polynomial approximation of center manifold with a specified maximal degree of the polynomial.<img src="https://www.maplesoft.com/view.aspx?si=154575/center2.png" alt="Center manifolds for three-dimensional systems of differential equations" style="max-width: 25%;" align="left"/>This worksheet implements a reduction principle. It allows us to compute a polynomial approximation of center manifold with a specified maximal degree of the polynomial.https://www.maplesoft.com/applications/view.aspx?SID=154575&ref=FeedSun, 29 Sep 2019 04:00:00 ZVeronika HajnováVeronika HajnováBialternate matrix products and its application in bifurcation theory
https://www.maplesoft.com/applications/view.aspx?SID=154567&ref=Feed
The central theorems in bifurcation theory are normal form theorems. The structure of all the theorems is the same. It claims, under certain assumptions, an arbitrary system of differential, resp, difference, equations is locally topologically equivalent to the normal form. One type of assumption can be formulated as equalities. For generic one-parameter bifurcations, there is always only one equality assumption. It stands as a condition for eigenvalues of the Jacobi matrix of the system. Those assumptions, so-called test functions, are formulated in section Bifurcation of this sheet. Bialternate product is a matrix product, which allows expressing test functions for Hopf and Neimark-Sacker bifurcations detection and continuation.<img src="https://www.maplesoft.com/view.aspx?si=154567/bif.PNG" alt="Bialternate matrix products and its application in bifurcation theory" style="max-width: 25%;" align="left"/>The central theorems in bifurcation theory are normal form theorems. The structure of all the theorems is the same. It claims, under certain assumptions, an arbitrary system of differential, resp, difference, equations is locally topologically equivalent to the normal form. One type of assumption can be formulated as equalities. For generic one-parameter bifurcations, there is always only one equality assumption. It stands as a condition for eigenvalues of the Jacobi matrix of the system. Those assumptions, so-called test functions, are formulated in section Bifurcation of this sheet. Bialternate product is a matrix product, which allows expressing test functions for Hopf and Neimark-Sacker bifurcations detection and continuation.https://www.maplesoft.com/applications/view.aspx?SID=154567&ref=FeedSat, 28 Sep 2019 04:00:00 ZVeronika HajnováVeronika HajnováGraph Theory and Pokémon
https://www.maplesoft.com/applications/view.aspx?SID=154565&ref=Feed
This application aims to illustrate the functionalities of graph theory in the Pokémon game: Pokémon Blue.<img src="https://www.maplesoft.com/view.aspx?si=154565/pokemon.png" alt="Graph Theory and Pokémon" style="max-width: 25%;" align="left"/>This application aims to illustrate the functionalities of graph theory in the Pokémon game: Pokémon Blue.https://www.maplesoft.com/applications/view.aspx?SID=154565&ref=FeedThu, 19 Sep 2019 04:00:00 ZValerie BustosValerie BustosThe LegendreSobolev Package and its Applications in Handwriting Recognition
https://www.maplesoft.com/applications/view.aspx?SID=154553&ref=Feed
The present applications are motivated by the problem of mathematical handwriting recognition where symbols are represented as parametric plane curves in a Legendre-Sobolev basis. An early work showed that approximating the coordinate functions as truncated series in a Legendre-Sobolev basis yields fast and effective recognition rates. Furthermore, this representation allows one to study the geometrical features of handwritten characters as a whole. These geometrical features are equivalent to baselines, bounding boxes, loops, and cusps appearing in handwritten characters. The study of these features becomes a crucial task when dealing with two-dimensional math formulas and the large set of math characters with different variations in style and size.
In an early paper, we proposed methods for computing the derivatives, roots, and gcds of polynomials in Legendre-Sobolev bases to find such features without needing to convert the approximations to the monomial
basis.Our findings in employing parametrized Legendre-Sobolev approximations for representing handwritten characters and studying the geometrical features of such representation has led us to develop two Maple packages called LegendreSobolev and HandwritingRecognitionTesting. The methods in these packages rely on Maple’s linear algebra routines.<img src="https://www.maplesoft.com/applications/images/app_image_blank_lg.jpg" alt="The LegendreSobolev Package and its Applications in Handwriting Recognition" style="max-width: 25%;" align="left"/>The present applications are motivated by the problem of mathematical handwriting recognition where symbols are represented as parametric plane curves in a Legendre-Sobolev basis. An early work showed that approximating the coordinate functions as truncated series in a Legendre-Sobolev basis yields fast and effective recognition rates. Furthermore, this representation allows one to study the geometrical features of handwritten characters as a whole. These geometrical features are equivalent to baselines, bounding boxes, loops, and cusps appearing in handwritten characters. The study of these features becomes a crucial task when dealing with two-dimensional math formulas and the large set of math characters with different variations in style and size.
In an early paper, we proposed methods for computing the derivatives, roots, and gcds of polynomials in Legendre-Sobolev bases to find such features without needing to convert the approximations to the monomial
basis.Our findings in employing parametrized Legendre-Sobolev approximations for representing handwritten characters and studying the geometrical features of such representation has led us to develop two Maple packages called LegendreSobolev and HandwritingRecognitionTesting. The methods in these packages rely on Maple’s linear algebra routines.https://www.maplesoft.com/applications/view.aspx?SID=154553&ref=FeedSun, 15 Sep 2019 04:00:00 ZStephen M. WattStephen M. WattCalculating the Latent Heats of Vaporization and Fusion of Water
https://www.maplesoft.com/applications/view.aspx?SID=154552&ref=Feed
This application demonstrates how you can calculate the latent heat of vaporization and the latent heat of fusion of water.
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The application uses empirical data from the <A HREF="/products/maple/features/thermophysicaldata.aspx">ThermophysicalData package</A><img src="https://www.maplesoft.com/applications/images/app_image_blank_lg.jpg" alt="Calculating the Latent Heats of Vaporization and Fusion of Water" style="max-width: 25%;" align="left"/>This application demonstrates how you can calculate the latent heat of vaporization and the latent heat of fusion of water.
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The application uses empirical data from the <A HREF="/products/maple/features/thermophysicaldata.aspx">ThermophysicalData package</A>https://www.maplesoft.com/applications/view.aspx?SID=154552&ref=FeedThu, 12 Sep 2019 04:00:00 ZSamir KhanSamir KhanSudoku Maplet
https://www.maplesoft.com/applications/view.aspx?SID=154551&ref=Feed
Cette Maplet compatible avec Maple2019 permet de générer,de résoudre et de jouer au sudoku.
La durée pour que la maplet soit chargée est plus petite que pour GSudoku10 surtout pour les sudoku de grandes tailles et la maplet peut etre petite pour les afficher à l'écran.
On peut sauvegarder les grilles,leur solution ,et leur variante couleur en fichier .gif
On peut sauvegarder en fichier .txt sous differentes formes pour charger les grilles dans d'autres logiciels:Isanaki,Hodoku,pour pc.
Peter Stancel Sudoku,SudokuWiki,Vokware pour Android
Puzzerax Sudoku,Sudoktor sur Apple<img src="https://www.maplesoft.com/view.aspx?si=154551/Captsud.JPG" alt="Sudoku Maplet" style="max-width: 25%;" align="left"/>Cette Maplet compatible avec Maple2019 permet de générer,de résoudre et de jouer au sudoku.
La durée pour que la maplet soit chargée est plus petite que pour GSudoku10 surtout pour les sudoku de grandes tailles et la maplet peut etre petite pour les afficher à l'écran.
On peut sauvegarder les grilles,leur solution ,et leur variante couleur en fichier .gif
On peut sauvegarder en fichier .txt sous differentes formes pour charger les grilles dans d'autres logiciels:Isanaki,Hodoku,pour pc.
Peter Stancel Sudoku,SudokuWiki,Vokware pour Android
Puzzerax Sudoku,Sudoktor sur Applehttps://www.maplesoft.com/applications/view.aspx?SID=154551&ref=FeedWed, 11 Sep 2019 04:00:00 Zxavier cormierxavier cormierGraph Colouring with SAT
https://www.maplesoft.com/applications/view.aspx?SID=154550&ref=Feed
A colouring of a graph is an assignment of colours to its vertices such that every two adjacent vertices are coloured differently. Finding a colouring of a given graph using the fewest number of colours is a difficult problem in general. In this worksheet we demonstrate how to solve the graph colouring problem by translating it into Boolean logic and using Maple's built-in efficient SAT solver. This approach is now available as an option to Maple’s ChromaticNumber function, which also solves the graph colouring problem. Using SAT can dramatically improve the performance of this function in some cases, including the “queen graphs” problem shown in this application.<img src="https://www.maplesoft.com/view.aspx?si=154550/queens_colouring.png" alt="Graph Colouring with SAT" style="max-width: 25%;" align="left"/>A colouring of a graph is an assignment of colours to its vertices such that every two adjacent vertices are coloured differently. Finding a colouring of a given graph using the fewest number of colours is a difficult problem in general. In this worksheet we demonstrate how to solve the graph colouring problem by translating it into Boolean logic and using Maple's built-in efficient SAT solver. This approach is now available as an option to Maple’s ChromaticNumber function, which also solves the graph colouring problem. Using SAT can dramatically improve the performance of this function in some cases, including the “queen graphs” problem shown in this application.https://www.maplesoft.com/applications/view.aspx?SID=154550&ref=FeedMon, 09 Sep 2019 04:00:00 ZCurtis BrightCurtis Bright