Interior Point Methods: A class of optimisation algorithms that navigate the interior of the feasible region to seek optimal solutions, commonly used in linear and convex quadratic programming.

Automatica (2025). [2] Predictor-corrector interior-point algorithm for P * ( κ ) -linear complementarity problems based on a new type of algebraic equivalent transformation technique.

In children who present to the pediatric ED, a point-of-care ultrasonography decision-support algorithm — a rule-in tool — accurately diagnosed transient synovitis, according to data ...

A line search interior point method is proposed to solve this optimization problem, where the step direction can be quickly computed via a Riccati difference equation. Numerical examples show that ...

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This paper presents a new interior point quadratic programming algorithm which can solve power system optimization problems with significantly less computational efforts. The proposed algorithm has ...

At the SXSW Conference in Austin, Texas, Ray Kurzweil made yet another prediction: the technological singularity will happen sometime in the next 30 years.

A trust-region interior-point method for general nonlinear programing problems (GSoC 2017). - antonior92/ip-nonlinear-solver ...

high-performance simplex parallel quadratic-programming interior-point-method mixed-integer-programming linear-optimization Updated yesterday C++ ...