Applied Psychology: Psychology-based UI Improvements
Learn to enhance UI designs using cognitive psychology principles, empowering frontend developers to contribute proactively to product improvement and development processes.
Infinite Patterns in the Digital Canvas - Unleashing Creativity with JavaScript in Algorithmic Art
Explore JavaScript's role in algorithmic art, using libraries like p5.js to create dynamic, self-generated artworks. Learn to craft intricate patterns and push digital creativity boundaries.
Creating an Animated Short Film with Unreal Engine - From Beginner to Completion
Journey from Unreal novice to creating an animated short film, exploring motion capture, VFX, color grading, and sound design. Packed with tutorials and tips for Unreal Engine and After Effects.
Graph-based Decomposition Approaches through Plasmo.jl
Explore Plasmo.jl for optimization problem structuring and decomposition, focusing on graph-based approaches and their applications in power systems.
Introduction of TulipaEnergyModel.jl - Optimization Model for Energy Markets
Optimization model for electricity markets and energy sectors using graph theory and flexible time resolution, enhancing adaptability and efficiency in large-scale energy system modeling.
ModelPredictiveControl.jl - Advanced Process Control Using JuMP
Learn to design model predictive controllers using ModelPredictiveControl.jl, an open-source package for advanced process control based on JuMP, featuring nonlinear state estimation and visualization tools.
PiecewiseAffineApprox.jl - Automated Piecewise Affine Convex Approximations for Optimization Models
Explore piecewise affine convex approximations for optimization models using PiecewiseAffineApprox.jl, featuring flexible options and methods for best-fit calculations in Julia.
Differentiating Parametric JuMP Models in Julia
Explore differentiating parametric JuMP models, combining DiffOpt and ParametricOptInterface for efficient optimization and parameter sensitivity analysis in Julia.
The New DisjunctiveProgramming.jl - Modeling Generalized Disjunctive Programs
Explore the enhanced DisjunctiveProgramming.jl for modeling Generalized Disjunctive Programs, featuring improved performance, expanded constraint support, and compatibility with JuMP and InfiniteOpt.
Recent Advances in EAGO.jl and its Use With JuMP.jl
Explore EAGO.jl, an open-source global optimizer for MINLPs in Julia, and its integration with JuMP for enhanced accessibility and capabilities in solving complex optimization problems.
Recent Advances in Optimization Solvers within JuliaSmoothOptimizers
Explore cutting-edge nonlinear optimization solvers in JuliaSmoothOptimizers. Learn about new packages, performance enhancements, and flexible implementations for large-scale problems using high-level linear algebra and automatic differentiation.
Solving Matching Problems in Practical Applications Using JuMP
Optimize supply chain matching with JuMP: Efficiently model connections in transportation networks, balancing idle times, delays, and resource allocation for improved performance and robustness.
SpineOpt.jl - A Highly Adaptable Modelling Framework for Multi-Energy Systems
Flexible energy system modelling framework for operational and planning studies, featuring adaptable structures, uncertainty representation, and model decomposition for complex multi-energy systems.
libHSL - The Ultimate Collection for Large-Scale Scientific Computation
Explore libHSL, a powerful Fortran package collection for scientific computation, now accessible in Julia through HSL.jl and Ipopt.jl with pre-built binaries.
Optimal Deployment of Genetic Biocontrol Under Environmental Uncertainty
Stochastic programming approach for optimal biocontrol strategies against mosquito-borne diseases, considering uncertain weather conditions and using JuMP and Julia for efficient intervention planning.
LoReSIO.jl - Using JuMP for Semi-Infinite Optimization
Explore LoReSIO.jl, a Julia package for solving semi-infinite optimization problems using JuMP. Learn efficient techniques for handling infinite constraints and solving complex optimization challenges.
Teaching Optimization: Comparing cvxpy, pyomo, and JuMP
Explore convex optimization modeling frameworks, comparing cvxpy, pyomo, and JuMP. Learn about common student challenges and how JuMP addresses them in undergraduate and graduate courses.
Why You Should Stop Using the Monomial Basis
Explore StarAlgebras.jl for computing with arbitrary bases, improving polynomial optimization through symmetry-adapted bases and better-conditioned alternatives to monomials.
QUBO.jl - A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
Explore Julia's QUBO.jl ecosystem for solving binary optimization problems, featuring solver interfaces, benchmarking tools, and quantum hardware integration for advanced optimization techniques.
Applied Optimization with JuMP at SINTEF
Explore JuMP for flexible optimization modeling at SINTEF, focusing on hydrogen infrastructure and circular logistics. Learn about complementary packages enhancing JuMP's functionality.
Integrity by Default in Java - Importance and Implementation
Explore Java's integrity features, their importance for reliability and security, and OpenJDK's plans to enhance platform integrity while maintaining flexibility for developers.