Alternative Data For Algorithmic

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Unlock the Power of Historical Simulations – First Principles to Advanced

To the uninitiated Cracker might seem to be just another 90s alternative rock band.

To the uninitiated Cracker might seem to be just another 90s alternative rock band. However, fans recognize that the band is much more than that, having skillfully explored a wide array of styles over nearly 35 years.Regrettably, when newcomers hear a Cracker song and wish to learn more about the band, they often start with algorithmic streaming playlists. These playlists are typically limited to the dozen or so tracks with the most streams. As a result, these playlists are dominated by a few albums from the early 1990s, the heyday of alternative rock radio. There are also a few “greatest hits” compilations for Cracker available, but these at best cover only the first third of the band’s 35-year career. Both of these sources overlook some of the band’s most critically acclaimed and fan-favorite work.

This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization.

This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization.
The book presents a general mathematical formulation of RB methods, analyzes their fundamental theoretical properties, discusses the related algorithmic and implementation aspects, and highlights their built-in algebraic and geometric structures.