@@ -0,0 +1,27 @@
+---
+title: Applied Mathematics with F#
+author: Sudipta Mukherjee
+year: 2026
+image: https://m.media-amazon.com/images/I/41e71VQ2F5L._SY445_SX342_FMwebp_.jpg
+bookurl: https://www.amazon.com/Applied-Mathematics-F-Sudipta-Mukherjee/dp/981969633X
+---
+This book highlights the enormous potential of F#—in comparison to other
+programming languages—to be used in scientific computing. It presents solutions
+of diverse real-life problems by using the combination of applied mathematics
+and F#. The book begins by introducing different generic collections offered
+by F# and goes on to present their usages in various areas of applied
+mathematics such as vectors and matrices, descriptive statistics,
+set theory, probability and calculus. Empowering users to tackle complex computing
+problems by using succinct yet robust code, F# is very well positioned to be used
+for applied mathematics; making this book all the more important for interested
+readers in this area.
+
+The book uses Plotly.NET to create interactive, publication-quality
+charts and visualizes vector fields, Jacobians, matrices as heatmaps,
+and probability distributions and KDEs, ordinary differential equations
+solutions and phase plots. It uses AngouriMath for symbolic differentiation,
+simplification, and algebra. It also shows how to blend symbolic math with
+numerical methods like Trapezoidal and Simpson’s rule, Runge–Kutta methods
+and Gaussian quadrature. The book includes several real-life case studies as
+examples such as soccer player analytics, housing price analysis, bungee jumper
+physics simulation, predator–prey ecosystem model and credit score evaluation.