Posts published on my LinkedIn account
- code_saturne: software for computational fluid dynamics (CFD) applications
- SU2: The Open-Source CFD Code
- OpenFOAM: The Open-Source CFD Code
- Goma: open-source, scalable, parallel multiphysics software
- MFEM: free, lightweight, scalable C++ FEM library
- Elmer FEM: open source multiphysical simulation software
- FEniCS: open source computing platform
- NEK: open source fast high-order scalable CFD
- ADCIRS: Open-Source, simulation of moving fluid on a rotating Earth
- CALCULIX: A Free Software Three-Dimensional Structural Finite Element Program
- COOLFluiD: Computational Object-Oriented Libraries for Fluid Dynamics platform
- Gerris Flow Solver; Free Software
- Basilisk Flow Solver; Free Software
- Delft3D is open-source software that facilitates hydrodynamics
- Live coding session with Boris Cherny and Jarred Sumner
- Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next
- Code with Claude 2026: Opening Keynote
- "Coding is largely solved" - Boris Cherny, Head of Claude Code at Anthropic
- Claude Code for C++ Development
- Claude Code an Agentic Coding Tool
- Claude Code for Experienced C++ Developers
- Inside Claude Code with Boris Cherny
- Claude Code: the future of software engineering
- Claude wrote a C compiler
- Claude Sonnet 4.6 is here
- Claude Opus 4.6 is now available
- Evaluating Claude Sonnet 4.6 for C++23 Code Generation
- Building Claude Code with Boris Cherny
- Anthropic Introduced Claude Opus 4.7
- Anthropic, AI, national security, and the values
- Anthropic reshapes software development
- Claude as the part of AI Tsunami
- Claude as the personal tutor
- JetBrains' Junie: a Smart Coding Agent
- Natural Language Processing
- AI and Math: interview with Terence Tao
- OpenClaw: interview with Peter Steinberger
- OpenClaw Full Tutorial for Beginners
- OpenClaw's author joined OpenAI
- OpenClaw Practical Course
- OpenAI's Codex and Software Development
- Codex, OpenAI: Agentic Delegation
- OpenAI's Next Moonshot: A Fully Automated AI Researcher
- Elevating C++ Code Quality: Lessons from CppCon 2025
- Choosing the Right C++ Parallelism Tool
- C++ Custom Allocators Explained
- C++ Concepts: The Fundamental Shift
- Matrix Multiplication Deep Dive
- CppCon: CMake doesn't have to be painful
- Lock-Free Single Producer Single Consumer FIFO, CppCon 2023
- Lock-Free Programming by Herb Sutter, CppCon 2014
- Microseconds matter. Ring Buffer (SPSC queue) by Erik Rigtorp
- Ultrafast Trading Systems by David Gross
- Every nanosecond counts. Lock-Free Ring Buffer by Joe Wood
- C++ atomics, from basic to advanced by Fedor G Pikus
- Branchless Programming in C++ by Fedor G Pikus
- Trading at light speed by David Gross, Meeting C++ 2022
- Concurrency in C++ by Fedor G Pikus
- NVIDIA GTC Keynote 2026
- Jensen Huang on AI, Compute, Tokens and the New Global Economy
- Jensen Huang on the Lex Fridman Podcast
- Optimal Generation of Daily Schedules
- Operations Research and Project Management
- Mathematical Model of the Scheduling Problem
- Scheduling and Timetable Generation
- Assigning Problems - A Classic Optimization Challenge
- Knapsack Problems: Extensions and Variants
- Business Optimization Using Mathematical Programming
- Solving Full Truckload Routing Across Europe
- Solving the High School Timetabling Puzzle with Integer Linear Programming
- AMPL, A Mathematical Programming Language
- Key Takeaways from AMPL's 2026 Roadmap
- Diversity of Mathematical Programming Languages
- Value of the NEOS Server for Operations Research
- Revised Simplex or Interior Point Method?
- Integer Programming: Lessons from Computational Mathematics
- Computational Perspective of LP in MILP
- Fifty Years of Integer Linear Programming
- Why sparse linear equations?
- Branch-and-Price Free Access Book
- PDLP: A Practical First-Order Method for Large-Scale Linear Programming
- Open Source Linear Programming Solvers
- Commercial Linear Programming Solvers
- Gurobi as the Gold Standard in Mathematical Optimization
- Parallelism in Gurobi's Optimization Engine
- Progress in mathematical programming solvers from 2001 to 2020
- LP and MILP Optimization with Dr. Robert Bixby
- PaPILO: Parallel Presolving for MILP
- Yumbo. Scheduling, Planning and Resource Allocation
- Yumbo. Input Parameters for Efficient Scheduling
- Yumbo. Expert Availability and Preferences
- Yumbo. Schedules for Project Managers
- Yumbo. Schedules for Developers
- Yumbo. Expert's satisfaction with workload
- Yumbo's evolution. From Concept to Maturity
- Yumbo. Significance of Advanced Reporting
- Yumbo. Features of Mathematical Model
- Yumbo. Details of Mathematical Model
- Design and Analysis of Approximation Algorithms
- GRASP for Solving Hard Optimization Problems
- 25 Years of GRASP. Invited Review
- Python for Data Scientists
- Streamlit for Data Scientists
- Pyomo - Optimization Modeling in Python
- Machine Learning Engineering
- PL/SQL Tutorial for Beginners
- PL/SQL: Still One of the Best Tools for Data-Centric Development
- Want to write better PL/SQL?
- PL/SQL Tutorial for Beginners
- Use the Profilers for PL/SQL
- The counterintuitive secret to SQL tuning
- Harnessing the power of Oracle Database optimizer hints
- SQL Plan Management
- Oracle's Vision and Strategy