From 01763fc91313909e027d4e3a76c770349c46534b Mon Sep 17 00:00:00 2001 From: Sudipta Mukherjee Date: Tue, 4 Aug 2026 23:10:14 +0530 Subject: [PATCH 1/5] Details of upcoming applied math with F# book --- _books/applied_math_with_f#_2026.md | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 _books/applied_math_with_f#_2026.md diff --git a/_books/applied_math_with_f#_2026.md b/_books/applied_math_with_f#_2026.md new file mode 100644 index 00000000..d6de270c --- /dev/null +++ b/_books/applied_math_with_f#_2026.md @@ -0,0 +1,11 @@ +--- +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. + From 04350c009fb4181802623716210d26595977ce20 Mon Sep 17 00:00:00 2001 From: Sudipta Mukherjee Date: Wed, 5 Aug 2026 22:23:36 +0530 Subject: [PATCH 2/5] Attempt to fix the lint issue --- _books/applied_math_with_f#_2026.md | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/_books/applied_math_with_f#_2026.md b/_books/applied_math_with_f#_2026.md index d6de270c..e9453857 100644 --- a/_books/applied_math_with_f#_2026.md +++ b/_books/applied_math_with_f#_2026.md @@ -5,7 +5,24 @@ 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. +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. +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. From 52f0818f78545738dde1da77a81aedbe2dc84e01 Mon Sep 17 00:00:00 2001 From: Sudipta Mukherjee Date: Wed, 5 Aug 2026 22:25:15 +0530 Subject: [PATCH 3/5] Removing trailing spaces --- _books/applied_math_with_f#_2026.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/_books/applied_math_with_f#_2026.md b/_books/applied_math_with_f#_2026.md index e9453857..2fd1ee9d 100644 --- a/_books/applied_math_with_f#_2026.md +++ b/_books/applied_math_with_f#_2026.md @@ -5,22 +5,22 @@ 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, +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 +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 +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 +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 From 9cf9db31f480c5016b276d22d5cbfd0fd2f98734 Mon Sep 17 00:00:00 2001 From: Sudipta Mukherjee Date: Wed, 5 Aug 2026 22:26:29 +0530 Subject: [PATCH 4/5] Removing trailing whitespace and blank lines --- _books/applied_math_with_f#_2026.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/_books/applied_math_with_f#_2026.md b/_books/applied_math_with_f#_2026.md index 2fd1ee9d..559cc28d 100644 --- a/_books/applied_math_with_f#_2026.md +++ b/_books/applied_math_with_f#_2026.md @@ -17,12 +17,11 @@ 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, +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. - +physics simulation, predator–prey ecosystem model and credit score evaluation. \ No newline at end of file From d1351ccec23fc04c1ca84d0b0d2d290178364eb1 Mon Sep 17 00:00:00 2001 From: Sudipta Mukherjee Date: Wed, 5 Aug 2026 22:28:19 +0530 Subject: [PATCH 5/5] Fix for md047 --- _books/applied_math_with_f#_2026.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_books/applied_math_with_f#_2026.md b/_books/applied_math_with_f#_2026.md index 559cc28d..7c9ce328 100644 --- a/_books/applied_math_with_f#_2026.md +++ b/_books/applied_math_with_f#_2026.md @@ -24,4 +24,4 @@ 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. \ No newline at end of file +physics simulation, predator–prey ecosystem model and credit score evaluation.