Explore tweets tagged as #numericalanalysis
Did you know that having accurate floating point operations at every step doesn't guarantee your algorithm is stable? #NumericalAnalysis #ScientificComputing #Julialang #SciML
4
12
47
Check out this Numerical Analysis LaTeX template on CoCalc: root-finding, quadrature, interpolation, convergence; auto figures + biber, pro visuals. Open: https://t.co/nJ8lH6QfMu
#LaTeX #NumericalAnalysis #CoCalc
0
2
1
Our comprehensive LaTeX template covers eigenvalue algorithms, SVD, matrix factorizations, and numerical stability analysis. Try it: https://t.co/X8z7v6kwpj
#LinearAlgebra #MatrixComputations #LaTeX #AppliedMath #DataScience #CoCalc #NumericalAnalysis
1
3
3
On November 3, 1867, Martin Wilhelm Kutta was born. He was a German mathematician and physicist who worked in numerical analysis. He is best remembered for the Runge–Kutta method. #NumericalAnalysis #DifferentialEquation
0
9
79
1
0
1
New SIAM-style LaTeX template with live Python integration! Compare classical vs accelerated conjugate gradient methods with reproducible results. Perfect for numerical analysis papers. https://t.co/ZdPYXVnazr
#SIAM #NumericalAnalysis
0
3
2
Need more than good-looking plots from your ODE solvers in MATLAB? MathWorks numerical analyst Michael Hosea unpacks how to adjust tolerances for real precision. A must-read for anyone working with differential equations 🧮🔍 https://t.co/BdpcyeLXng
#MATLAB #NumericalAnalysis
0
8
33
The The NUMPDE Workshop on Numerical Analysis of #PDEs is underway at #KAUST, uniting researchers and experts to drive science and engineering innovations. #CEMSE #KAUSTAMCS #NumericalAnalysis
0
0
3
Glad to have organized a minisymposium with excellent talks on Data driven #numericalanalysis and #machinelearning of #complexsystems at #NUMTA
0
0
2
November 3, 1867 — Wilhelm Kutta was born. A key developer of the Runge–Kutta methods, he revolutionized numerical solutions of differential equations—now essential for simulations across science and engineering. 🔢⚙️ #OnThisDay #Math #NumericalAnalysis
0
2
9
"Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks" by @tk_rusch, Nathan Kirk PhD, @mmbronstein, Christiane Lemieux, and Daniela Rus Paper: https://t.co/L8WPmyAWWI
#graphneuralnetworks #machinelearning #numericalanalysis
5
14
66
Learning about forward and backward propagation, I can't help but be amused that Newton had his own forward and backward interpolation formulas. The guy was really ahead of his time! Dawg Newton was so freaking amazing it's insane 🫡 #MachineLearning
#NumericalAnalysis
0
1
1
On October 15, 1875, André-Louis Cholesky was born. He was a French mathematician who worked in geodesy and cartography. He developed the Cholesky matrix decomposition and the Cholesky method, which were published posthumously after his death. #NumericalAnalysis
0
4
4
#NumericalAnalysis Accelerating convergence with Aitken's Method (Delta squared) and plotting it with @maplesoft
0
2
0
#Structural investigation of #wood-inspired #cellwall geometries using #additivemanufacturing: #Compressiontesting & #finiteelementanalysis validation https://t.co/ElGU2gSq5Q
#BioResJournal #OpenAccess #3Dprinting #wood #Densification #numericalanalysis #anisotropic #woodbased
0
0
0
Unlocking the Basic Math You Need for Machine Learning Algorithms 📚🔒 . . . . . . . . . . . #DataIsGood #machinelearning #mathematics #linearalgebra #NumericalAnalysis #calculus #graphtheory #informationtheory #probability #statistics #datascience #ai #edtech
0
0
1
⚡Releasing Soon ! ⚡ **Pre-order now ** https://t.co/YrmbJXqDkH Fundamentals of Numerical Analysis By Priyadarshi Majumder, Sandip Dey A textbook for students of UG Electronics Major, UG Mathematics Major & as well as students of https://t.co/Ra9BHCEvPm NEP. #numericalanalysis
0
3
2
#NickElectromagneticScattering-1 [#AppliedMathematics
#ELECTROMAGNETISM
#KirschMonkEMFscattering
#NEU:#New
#Preprints] arXiv:2208.08402v1 #NumericalAnalysis of electromagnetic scattering from nonlinear boundary conditions Jörg Nick (Universität Tübingen, #Germany) >
0
0
0