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🚀 Call for Papers: Special Issue on "Recent Advances in Numerical Algorithms and Their Applications" 🧠 📚 Guest Editor: Dr. Stoil I. Ivanov 🔍 Explore the full details and submission guidelines here: mdpi.com/journal/algorithms/… #numericalalgorithms #iterativemethods
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[2/3] The Fast #FourierTransform efficiently converts signals from their original domain (time/space) to the frequency domain. 🖥️This process is so fundamental that FFT has been termed one of the most important #NumericalAlgorithms of our lifetime. #DataScience
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📕Call for Reading: This #specialissue "Numerical Optimization and Algorithms" published 5 high-quality papers, and is viewed by 8065! 🔗We invite you to read and share: mdpi.com/journal/algorithms/… #graphtheory #optimization #numericalalgorithms
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Welcome to submit your paper to this #specialissue "Numerical Optimization and Algorithms: 2nd Edition" edited by Dunhui Xiao, Shuai Li Explore more details via the link: mdpi.com/journal/algorithms/… The first edition: mdpi.com/journal/algorithms/… MDPI #algorithms #numericalalgorithms
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Official link (if you can't access and would like a pre-print, I'd be happy to share): academic.oup.com/philmat/adv… #AlgorithmDefinition, #philosophy_of_mathematics, #real_computation #numericalAlgorithms #complexity

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#PhysRevE Few-cycle solitons in a dispersive medium with a permanent dipole moment journals.aps.org/pre/abstrac… #NumericalAlgorithms Integrable semi-discretizations and self-adaptive moving mesh method for a generalized sine-Gordon equation link.springer.com/article/10…
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amazon.co.uk/dp/B0BWXLPMPH?m… Are you tired of struggling with scientific computation? Look no further than "Efficient Scientific Computation with Declarative Programming." This comprehensive guide offers a revolutionary approach to scientific computing, utilizing cutting-edge declarative programming techniques to streamline your work and increase efficiency. With clear and concise explanations, this book covers a wide range of topics, including advanced numerical algorithms, parallel computing, and optimization. You'll learn how to harness the power of functional programming languages like Haskell and OCaml to develop code that is easier to read, write, and maintain. Whether you're a seasoned researcher or a beginner, this book will help you take your scientific computing skills to the next level. So why wait? Start exploring the world of declarative programming today and revolutionize your scientific workflow! #scientificcomputation #declarativeprogramming #efficiency #cuttingedge #numericalalgorithms #parallelcomputing #optimization #functionalprogramming #Haskell #OCaml @SciPyJohn @ACM_SICOMP @NumFOCUS @PyTorch @JuliaLanguage @TensorFlow #SciPy #ACMSICOMP #NumFOCUS #PyTorch #JuliaLanguage #TensorFlow

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18 Apr 2023
Connect with experts in the field and gain valuable insights into cutting-edge techniques and methodologies. Don't miss out on this exciting opportunity! Register now at fedcsis.org/sessions/css/can… #CANA #numericalalgorithms #computationalmethods #FedCSIS

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amazon.co.uk/dp/B0BWXLPMPH?m… "Efficient Scientific Computation with Declarative Programming" is the ultimate guide for scholars and researchers looking to optimize their scientific computing workflow. This groundbreaking book introduces a new paradigm for programming that emphasizes the use of high-level, declarative languages like Python and Julia to enhance computational efficiency. The book covers a wide range of topics, including parallel computing, numerical algorithms, and optimization techniques. It also provides in-depth coverage of cutting-edge technologies like GPU computing and cloud computing, giving readers the tools they need to tackle even the most complex computational problems. With its clear explanations, practical examples, and helpful tips, "Efficient Scientific Computation with Declarative Programming" is the perfect resource for anyone looking to stay on the cutting edge of scientific computing. #scientificcomputing #declarativeprogramming #Python #Julia #parallelcomputing #numericalalgorithms #optimization #GPUcomputing #cloudcomputing #computationalproblems @SciPyConf @NumFOCUS @PythonEcon @JuliaLanguage @PyTorch @TensorFlow #researchers #scholars #computationalscientists #datascientists #computingenthusiasts

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amazon.co.uk/dp/B0BWXLPMPH?m… Are you tired of inefficient scientific computation? Look no further! 'Efficient Scientific Computation with Declarative Programming' is here to revolutionize the way scholars approach computation. This groundbreaking book offers a comprehensive guide to using declarative programming for scientific applications, combining the power of modern programming languages with the rigor of scientific computing. With clear explanations and practical examples, this book covers topics such as parallel computing, numerical algorithms, and data visualization. It introduces readers to cutting-edge technologies like Apache Spark and Julia, and demonstrates how to use them to achieve lightning-fast computation times. Whether you're a seasoned programmer or just starting out in the field of scientific computing, this book is a must-read. It's packed with valuable insights and tips that will help you improve your code, streamline your workflow, and stay up-to-date with the latest trends in technology. So why wait? Get your copy of 'Efficient Scientific Computation with Declarative Programming' today and start revolutionizing your scientific computing! #EfficientScientificComputation #DeclarativeProgramming #ParallelComputing #NumericalAlgorithms #DataVisualization #ApacheSpark #JuliaProgramming #ComputationEfficiency #ScientificComputing #ModernProgramming @SciPyConf #SciPy2023 @pycon #PyCon2023 @DataScienceCtrl #DataScience #CodeNewbie #WomenInTech

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This is quite cool – treating a rotary #MechanicalCalculator (Curta Type II) as a #computer with an #AssemblyLanguage & then implementing #NumericalAlgorithms using that: “3Hz Computer, Hold The Transistors”, Miguel Young de la Sota (mcyoung.xyz/2022/07/24/curta…). #Calculator #Curta

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Finally out: "Regularization of inverse problems by an approximate matrix-function technique" OA on rdcu.be/ciwmh - @SpringerOpen - Code on github.com/Cirdans-Home/IRfu… - #InverseProblem #NumericalAlgorithms #NumericalLinearAlgebra

An abridged version of Goldberg's 'What every programmer should know about floating point arithmetic' : #NumericalAnalysis #FinitePrecisionArithmetic #NumericalAlgorithms xkcd.com/2295/

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That’s a new one: Just had a university instructor from Poland who’s visiting Boston drop by my office because he wanted to take a selfie with the author of his numerical analysis textbook. Day = made 🤳➕➖➗✖️🇵🇱 🇺🇸 #numericalalgorithms #timetostartsecondedition
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