Woodward notes a PWM nonlinearity in a DI that software can't fix, and presents a potential solution: adjusting resistor ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

The Uttarakhand Board has released the Class 12 Maths Syllabus 2025-26. The exam will be conducted for 3 hours with a total ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Numerical performance of HPR-LP and cuPDLP.jl on 18 LP relaxations (>10M nonzeros in $A$) from MIPLIB 2017 without Gurobi's presolve. Time limit 18000 seconds. Before ...

Linear Programs (LPs) are one of the major building blocks of AI and have championed recent strides in differentiable optimizers for learning systems. While efficient solvers exist for even ...

Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

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Abstract: This paper investigates the equivalence between a class of mixed-integer linear and linear programming prob-lems. By utilizing the addition of slack variables theorem, we demonstrate that ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...