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  • 1
    matcik svg editor

    matcik svg editor

    svg editor: Easily create documents for math, physics, chemistry...

    ...Book, exam and activity preparation program Easily import application vectors such as geogebra, chart, mathlive, ckeditor, desmos, into your document, or import vectors from pdf files into your document, save and rearrange your file. if you want You can use the documents you have prepared on your website or convert them to pdf. Matcik advanced online svg editor. Matematik, fizik, kimya, biyoloji ve diğer bilimler için belgeleri kolayca oluşturun... Kitap,sınav,etkinlik hazırlama programı Geogebra,chart, mathlive,ckeditor ,desmos,permaclipart gibi uygulama vektörlerini kolayca belgenize aktarın veya pdf dosyalarındaki vektörleri belgenize aktarın, kaydedin ve dosyanızı yeniden düzenleyin. isterseniz Hazırladığınız dokümanları web sitenizde kullanabilir veya pdf'ye dönüştürebilirsiniz. ...
    Downloads: 10 This Week
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  • 2

    DDE-BIFTOOL

    Bifurcation analysis for delay-differential equations

    ... [1] <http://twr.cs.kuleuven.be/research/software/delay/ddebiftool.shtml> [2] <https://www.gnu.org/software/octave> Further tutorials (by M Bosschaert) at <https://sites.google.com/a/uhasselt.be/maikel-bosschaert/home> (pdf files).
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    Downloads: 7 This Week
    Last Update:
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  • 3
    TSP Solver and Generator

    TSP Solver and Generator

    Generate and solve Travelling Salesman Problem tasks

    ...The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. The result can be printed or saved as PDF, HTML, or ODF. TSPSG may be useful for teachers to generate test tasks or just for regular users to solve TSPs. Also, it may be used as an example of using Branch and Bound method to solve a particular task.
    Downloads: 17 This Week
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  • 4
    Adaptive Gaussian Filtering

    Adaptive Gaussian Filtering

    Machine learning with Gaussian kernels.

    Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++.
    Downloads: 0 This Week
    Last Update:
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    AI-powered service management for IT and enterprise teams

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