The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

Using the modified Kerre's method, we propose a new variable neighborhood search algorithm for solving fuzzy number linear programming problems. In our algorithm, the local search is defined based on ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Explore the fundamentals of the Finite Element Method (FEM), one of the most powerful computational tools used in engineering analysis. This introductory video breaks down the core concepts behind FEM ...

Tackling complex puzzles requires a different set of skills than simple writing tasks. Borrowing the non-linear techniques detectives use to organize data can help.

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

An understanding of the complex social, political, economic and institutional factors that influence public policy is vital to effectively analyse policy decisions and social interventions, and to ...

Scientists say they’ve cracked a key challenge in scalable quantum hardware after generating an error-correcting, light-based qubit on a chip for the first time.

SCIP: Solving Constraint Integer Programs Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming ...

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface ...