NonlinearSolve.jl: Other References You Can Turn to Post date March 29, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
What is the Large Ill-Conditioned Nonlinear Brusselator System? Post date March 29, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
Initializing the Doyle-Fuller-Newman (DFN) Battery Model Post date March 28, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
How We Evaluated Our Solvers on Three Numerical Experiments and Benchmarked Them Post date March 28, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
Generalized Jacobian-Free Nonlinear Solvers Using Krylov Methods Post date March 28, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
Automatic Sparsity Detection for Nonlinear Equations: What You Need to Know Post date March 27, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
Non-Allocating Static Nonlinear Solvers for GPU Kernels: Speed and Efficiency Post date March 27, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
NonlinearSolve.jl: Smart Defaults for Robust and Efficient Nonlinear Solving Post date March 27, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
Modular Nonlinear Solvers: The Power of Composable Building Blocks in NonlinearSolve.jl Post date March 26, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
What Are the Special Capabilities of NonlinearSolve.jl? Post date March 26, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
Mathematical Description and Numerical Algorithms for Nonlinear Equations Post date March 25, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia Post date March 25, 2025 Post author By Linearization Technology Post categories In benchmarking-nonlinear-solvers, gpu-accelerated-computation, jacobian-free-krylov-methods, julia-programming-language, nonlinearsolve.jl, robust-nonlinear-solvers, scientific-machine-learning, sparse-matrix-computations
The Trials and Triumphs of DPFL Research Post date February 19, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Why Smart Power Systems Still Have Big Problems to Solve Post date February 19, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Why Some AI Power Flow Models Are Faster Than Others Post date February 19, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Can DPFL Methods Improve Power Grid Predictions? Here’s What We Found Post date February 18, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Lost in Linearization: Why Some DPFL Methods Just Can’t Keep Up Post date February 18, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Electric Truths: What 16 Power Grid Models Reveal About DPFL Post date February 18, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
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