Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

Abstract: In this study, optimization methods for the design of the compact and broadband adiabatic couplers are presented. Two definitions of an uncoupled waveguide system are introduced: the first ...

I am here to ask a question about the QuantLib wrapper in Python. I would like to use the G2 class to have a Two-additive-factor Gaussian model and I would like to ...

Abstract: Given the complexity of over-the-counter derivatives and structured products, almost all derivatives pricing today is based on numerical methods. Large financial institutions typically have ...

Private methods are often used as an implementation detail and are not meant to be accessed directly by the users of a class. The name mangling mechanism in Python makes it difficult to call private ...

Dataclass QuantLib aims to provide a way to serialize and deserialize QuantLib objects by making use of Python data classes and dacite library. The library will not replace QuantLib in Python or other ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The rate of penetration (ROP) is a manifestation of drilling efficiency, and ...