GNU Octave 11.2.0 porta ottimizzazioni, miglioramenti alla GUI e numerose correzioni per il calcolo numerico avanzato. #GNUOctave #OpenSource #Linux #ScientificComputing #NumericalAnalysis #Software
GNU Octave 11.2.0 porta ottimizzazioni, miglioramenti alla GUI e numerose correzioni per il calcolo numerico avanzato. #GNUOctave #OpenSource #Linux #ScientificComputing #NumericalAnalysis #Software
🎉We are delighted that JSC director Prof. Dr. Dr. Thomas Lippert is recognised as part of the inaugural SCW75 by Scientific Computing World – celebrating leaders shaping the future of scientific computing across HPC, AI, simulation and research infrastructure. 🏆 Congratulations, Thomas, on this well-deserved recognition! And thank you, Scientific Computing World, for the honour.
I designed a nibble-oriented CPU in Verilog to build a scientific calculator
https://github.com/gdevic/FPGA-Calculator
#HackerNews #nibbleCPU #Verilog #FPGA #calculator #scientificcomputing #hardwaredesign
Standard‑Slope Integration (SSI) — Link to Post #7: Why SSI is general-purpose
A new, first-of-its-kind class of derivative-driven integration operators built solely from slope information.
SSI is real, not a trick — it’s a general-purpose integration operator built from first principles.
Link: https://mathstodon.xyz/@BlueNovaX/116516955308646107
#numericalanalysis #scientificcomputing #mathematics #integration #StandardSlopeIntegration #SSI
Standard‑Slope Integration (SSI) — Post #7: Why SSI is general-purpose A new, first-of-its-kind class of derivative-driven integration operators built solely from slope information. Although SSI excels in difficult cases, it isn’t designed only for failures. Its derivative-driven structure and invariant-preserving iteration make it broadly applicable across smooth, irregular, and mixed-structure integrands. The same reconstruction principles that stabilize challenging cases also perform reliably in ordinary cases, giving SSI a uniquely wide operational range without unnecessary adjustments. This general-purpose behavior follows directly from SSI’s underlying structure and nothing else. #numericalanalysis #scientificcomputing #mathematics #integration #StandardSlopeIntegration #SSI
Oh so the new garbage collector (GC) introduced in Python 3.14.0 was indeed memory hungry! That could explain why a pytest run that was working fine on 3.13 went OOM as soon as I switched it to 3.14. I am glad there is an explanation!
From what I understand the old GC was swapped back on for 3.14.5 and later.
Start here: Standard-Slope Integration (SSI)
A new, first-of-its-kind class of derivative-driven integration operators built solely from slope information.
If you’re new to my work, this post links to the full SSI series—a structured overview of a first-of-its-kind, derivative-driven integration operator built on structural iteration invariants and slope-based reconstruction. The recap summarizes all seven posts in order and provides the conceptual foundation for understanding SSI.
Series recap:
https://mathstodon.xyz/@BlueNovaX/116523359117197532
Repository with details and examples:
https://github.com/BlueNovaX/standard-slope-integration
#numericalanalysis #scientificcomputing #mathematics #integration #StandardSlopeIntegration #SSI
Standard‑Slope Integration (SSI): Series recap A new, first-of-its-kind class of derivative-driven integration operators built solely from slope information. Over the past several posts, I’ve outlined the core ideas behind Standard-Slope Integration (SSI): 1. Why derivative-driven structure matters 2. How structural iteration invariants stabilize reconstruction 3. Why SSI remains robust in cases of instability or failure 4. How slope-based reconstruction differs from area accumulation 5. How SSI diverges from classical quadrature 6. A simple example of SSI behavior 7. Why the method is genuinely general-purpose Together, these posts sketch the conceptual foundation of SSI and why it represents a new class of integration operators. More details and examples are available in the repository: https://github.com/BlueNovaX/standard-slope-integration #numericalanalysis #scientificcomputing #mathematics #integration #StandardSlopeIntegration #SSI
Standard‑Slope Integration (SSI) — Post #7: Why SSI is general-purpose
A new, first-of-its-kind class of derivative-driven integration operators built solely from slope information.
Although SSI excels in difficult cases, it isn’t designed only for failures. Its derivative-driven structure and invariant-preserving iteration make it broadly applicable across smooth, irregular, and mixed-structure integrands. The same reconstruction principles that stabilize challenging cases also perform reliably in ordinary cases, giving SSI a uniquely wide operational range without unnecessary adjustments.
This general-purpose behavior follows directly from SSI’s underlying structure and nothing else.
#numericalanalysis #scientificcomputing #mathematics #integration #StandardSlopeIntegration #SSI
Been working on my Linux machine for 3 months now at work - comp. physics, hpc, etc.
Tried working on my MBP yesterday (after around 5 months of not using it for development) - while a superior machine h/w wise, I really couldn't stand macOS.
Linux just works - better even.
#linux #macos #development #hpc #scientificcomputing #computationalphysics #ux #ubuntu #SoftwareDevelopment