from cuopt.linear_programming import DataModel, Solve, SolverSettings import numpy as np from cuopt_mps_parser import ParseMps dm = ParseMps("Bug2.mps") sol = Solve ...
This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...
This study presents an (ε, μ)−uniform numerical method for a two-parameter singularly perturbed time-delayed parabolic problems. The proposed approach is based on a fitted operator finite difference ...
ABSTRACT: In this work, a new method is presented for determining the binding constraints of a general linear maximization problem. The new method uses only objective function values at points which ...
ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
Abstract: Due to important applications in viral marketing, influence maximization (IM) has become a well-studied problem. It aims at finding a small subset of initial users so that they can deliver ...
Mesa Company is making strategic moves in its US operations aimed at boosting its global standing. The firm, known for its problem-solving method, wants to become the de-facto alternative to large ...
Have you been asked at work or school to create a problem statement and include a proposed solution, but you don’t know where to start? Continue reading for everything you need to know about problem ...
With more older people retiring than there are younger ones working, and people living longer in general, governments across the globe are considering raising their retirement ages. French President ...
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