#mathematica — Public Fediverse posts

Release candidate 10.8.5.rc2 of passagemath, the comprehensive #OpenSource mathematics system in #Python, the pip-installable modularized portable fork of #SageMath. Updates Mathics3, the free impl of the Wolfram language #Mathematica, to 10. Updates #Macaulay2 to 1.26.05. github.com/passagemath/...

Release passagemath-10.8.5.rc2...

creates semantic nodes and clusters #MATHEMATICA search.brave.com/ask?q=Analyz... AÉPIOT: INDEPENDENT SEMANTIC WEB 4.0 INFRASTRUCTURE (EST. 2009): aepiot.com

Brave Search

creates semantic nodes and clusters #MATHEMATICA search.brave.com/ask?q=Analyz... AÉPIOT: INDEPENDENT SEMANTIC WEB 4.0 INFRASTRUCTURE (EST. 2009): aepiot.com

Brave Search

Sagemath 10.9 was released on 05-04. www.sagemath.org/download-sou... It is developed by volunteers and combines hundreds of open source packages. 88 people contributed to this. Of those, 27 made their first contribution to Sage: #freesoftware, #opensource, #sagemath, #mathematics, #mathematica

SageMath Mathematical Software...

Sagemath 10.9 was released on 05-04. www.sagemath.org/download-sou... It is developed by volunteers and combines hundreds of open source packages. 88 people contributed to this. Of those, 27 made their first contribution to Sage: #freesoftware, #opensource, #sagemath, #mathematics, #mathematica

SageMath Mathematical Software...

Sagemath 10.9 was released on 05-04. www.sagemath.org/download-sou... It is developed by volunteers and combines hundreds of open source packages. 88 people contributed to this. Of those, 27 made their first contribution to Sage: #freesoftware, #opensource, #sagemath, #mathematics, #mathematica

SageMath Mathematical Software...

Sagemath 10.9 was released on 05-04. www.sagemath.org/download-sou... It is developed by volunteers and combines hundreds of open source packages. 88 people contributed to this. Of those, 27 made their first contribution to Sage: #freesoftware, #opensource, #sagemath, #mathematics, #mathematica

SageMath Mathematical Software...

Sagemath 10.9 was released on 05-04. www.sagemath.org/download-sou... It is developed by volunteers and combines hundreds of open source packages. 88 people contributed to this. Of those, 27 made their first contribution to Sage: #freesoftware, #opensource, #sagemath, #mathematics, #mathematica

SageMath Mathematical Software...

@sagemath 10.9 was released on 2026-05-04. It is available from:

*https://www.sagemath.org/download-source.html*

Sage (http://www.sagemath.org) is developed by volunteers and combines
hundreds of open source packages.

88 people contributed to this release. Of those, 27 made
their first contribution to Sage:

#freesoftware, #opensource, #sagemath, #mathematics, #mathematica

@sagemath 10.9 was released on 2026-05-04. It is available from:

*https://www.sagemath.org/download-source.html*

Sage (http://www.sagemath.org) is developed by volunteers and combines
hundreds of open source packages.

88 people contributed to this release. Of those, 27 made
their first contribution to Sage:

#freesoftware, #opensource, #sagemath, #mathematics, #mathematica

@sagemath 10.9 was released on 2026-05-04. It is available from:

*https://www.sagemath.org/download-source.html*

Sage (http://www.sagemath.org) is developed by volunteers and combines
hundreds of open source packages.

88 people contributed to this release. Of those, 27 made
their first contribution to Sage:

#freesoftware, #opensource, #sagemath, #mathematics, #mathematica

@sagemath 10.9 was released on 2026-05-04. It is available from:

*https://www.sagemath.org/download-source.html*

Sage (http://www.sagemath.org) is developed by volunteers and combines
hundreds of open source packages.

88 people contributed to this release. Of those, 27 made
their first contribution to Sage:

#freesoftware, #opensource, #sagemath, #mathematics, #mathematica

New instance, new #introduction

#science #physics
since 2021 working on
#fiberlinks #frequency #time #transfer #reference #quantum #metrology
before that on
#biophysics #raman #spectroscopy #microscopy #biofilm #bacteria #protein #microplastics

#programming & #computing
#python (#fortran #mathematica )
#linux (not quite but almost still a newbie)
#freesoftware

Other interests:
#plants #cats #sciencefiction #fantasy #reading #writing #audiobooks #asiandramas #unplugbigtech #diday

New instance, new #introduction

#science #physics
since 2021 working on
#fiberlinks #frequency #time #transfer #reference #quantum #metrology
before that on
#biophysics #raman #spectroscopy #microscopy #biofilm #bacteria #protein #microplastics

#programming & #computing
#python (#fortran #mathematica )
#linux (not quite but almost still a newbie)
#freesoftware

Other interests:
#plants #cats #sciencefiction #fantasy #reading #writing #audiobooks #asiandramas #unplugbigtech #diday

New instance, new #introduction

#science #physics
since 2021 working on
#fiberlinks #frequency #time #transfer #reference #quantum #metrology
before that on
#biophysics #raman #spectroscopy #microscopy #biofilm #bacteria #protein #microplastics

#programming & #computing
#python (#fortran #mathematica )
#linux (not quite but almost still a newbie)
#freesoftware

Other interests:
#plants #cats #sciencefiction #fantasy #reading #writing #audiobooks #asiandramas #unplugbigtech #diday

New instance, new #introduction

#science #physics
since 2021 working on
#fiberlinks #frequency #time #transfer #reference #quantum #metrology
before that on
#biophysics #raman #spectroscopy #microscopy #biofilm #bacteria #protein #microplastics

#programming & #computing
#python (#fortran #mathematica )
#linux (not quite but almost still a newbie)
#freesoftware

Other interests:
#plants #cats #sciencefiction #fantasy #reading #writing #audiobooks #asiandramas #unplugbigtech #diday

New instance, new #introduction

#science #physics
since 2021 working on
#fiberlinks #frequency #time #transfer #reference #quantum #metrology
before that on
#biophysics #raman #spectroscopy #microscopy #biofilm #bacteria #protein #microplastics

#programming & #computing
#python (#fortran #mathematica )
#linux (not quite but almost still a newbie)
#freesoftware

Other interests:
#plants #cats #sciencefiction #fantasy #reading #writing #audiobooks #asiandramas #unplugbigtech #diday

Why doesn't #Mathematica simplify sinh(arccosh(x))? Because apparently, it takes a PhD in #Trigonometry, a magnifying glass, and a deep existential crisis to venture into that rabbit hole. 🤔🔍 Just when you thought it was all about cosines and sines, hyperbolics crash the party and demand their own dissertation. 📚🎉
https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/ #Hyperbolic #Functions #MathProblems #ExistentialCrisis #HackerNews #ngated

Why doesn't #Mathematica simplify sinh(arccosh(x))? Because apparently, it takes a PhD in #Trigonometry, a magnifying glass, and a deep existential crisis to venture into that rabbit hole. 🤔🔍 Just when you thought it was all about cosines and sines, hyperbolics crash the party and demand their own dissertation. 📚🎉
https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/ #Hyperbolic #Functions #MathProblems #ExistentialCrisis #HackerNews #ngated

Why doesn't #Mathematica simplify sinh(arccosh(x))? Because apparently, it takes a PhD in #Trigonometry, a magnifying glass, and a deep existential crisis to venture into that rabbit hole. 🤔🔍 Just when you thought it was all about cosines and sines, hyperbolics crash the party and demand their own dissertation. 📚🎉
https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/ #Hyperbolic #Functions #MathProblems #ExistentialCrisis #HackerNews #ngated

Why doesn't #Mathematica simplify sinh(arccosh(x))? Because apparently, it takes a PhD in #Trigonometry, a magnifying glass, and a deep existential crisis to venture into that rabbit hole. 🤔🔍 Just when you thought it was all about cosines and sines, hyperbolics crash the party and demand their own dissertation. 📚🎉
https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/ #Hyperbolic #Functions #MathProblems #ExistentialCrisis #HackerNews #ngated

Why Mathematica does not simplify sinh(arccosh(x))

https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/

#HackerNews #Mathematica #sinh #arccosh #simplification #MathematicaTips #MathExplained

Why Mathematica does not simplify sinh(arccosh(x))

https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/

#HackerNews #Mathematica #sinh #arccosh #simplification #MathematicaTips #MathExplained

Why Mathematica does not simplify sinh(arccosh(x))

https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/

#HackerNews #Mathematica #sinh #arccosh #simplification #MathematicaTips #MathExplained

Why Mathematica does not simplify sinh(arccosh(x))

https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/

#HackerNews #Mathematica #sinh #arccosh #simplification #MathematicaTips #MathExplained

Why Mathematica does not simplify sinh(arccosh(x))

https://www.johndcook.com/blog/2026/03/10/sinh-arccosh/

#HackerNews #Mathematica #sinh #arccosh #simplification #MathematicaTips #MathExplained

Woxi: Wolfram Mathematica Reimplementation in Rust

https://github.com/ad-si/Woxi

#HackerNews #Woxi #Wolfram #Mathematica #Rust #Reimplementation #GitHub

Woxi: Wolfram Mathematica Reimplementation in Rust

https://github.com/ad-si/Woxi

#HackerNews #Woxi #Wolfram #Mathematica #Rust #Reimplementation #GitHub

Woxi: Wolfram Mathematica Reimplementation in Rust

https://github.com/ad-si/Woxi

#HackerNews #Woxi #Wolfram #Mathematica #Rust #Reimplementation #GitHub

Woxi: Wolfram Mathematica Reimplementation in Rust

https://github.com/ad-si/Woxi

#HackerNews #Woxi #Wolfram #Mathematica #Rust #Reimplementation #GitHub

Woxi: Wolfram Mathematica Reimplementation in Rust

https://github.com/ad-si/Woxi

#HackerNews #Woxi #Wolfram #Mathematica #Rust #Reimplementation #GitHub

Поиск аномалий: статистика или ML? Выбираем лучшее

Поиск аномалий под микроскопом: от базовой статистики до робастных моделей с нуля на NumPy В машинном обучении поиск аномалий (Anomaly Detection) часто остается в тени классического обучения с учителем. Однако именно эта «иммунная система» данных спасает миллионы долларов в финтехе, предотвращает катастрофы на производстве и находит критические ошибки в медицинских картах. В этой статье мы не просто импортируем готовые методы из sklearn. Мы разберем математическую логику трех мощных подходов, напишем их «примитивные» реализации на NumPy/Pandas, чтобы понять механику работы «под капотом», и проверим их в деле на реальном кейсе. Наш полигон: Credit Card Fraud Detection Для тестов мы возьмем классический датасет Credit Card Fraud Detection. Это идеальный пример «иголки в стоге сена»: здесь всего 0.17% мошеннических транзакций среди почти 300 тысяч записей. Смогут ли наши рукотворные алгоритмы их найти? Эволюция методов: от простого к сложному Мы пройдем путь от элементарной статистики до продвинутого геометрического анализа: IQR (Interquartile Range): Статистическая классика. Узнаем, как «усы» боксплота помогают находить грубые выбросы. Isolation Forest: Оригинальный подход, основанный на идее, что аномалию проще всего «изолировать» случайными разрезами пространства. Elliptic Envelope: Тяжелая артиллерия робастной статистики. Будем строить многомерный эллипс, который игнорирует попытки аномалий исказить его форму.

https://habr.com/ru/articles/996538/

#машинное+обучение #машинное_обучение #machinelearning #isolation_forest #anomaly_detection #поиск_аномалий #scikitlearn #mathematica #algorithms #python

Поиск аномалий: статистика или ML? Выбираем лучшее

Поиск аномалий под микроскопом: от базовой статистики до робастных моделей с нуля на NumPy В машинном обучении поиск аномалий (Anomaly Detection) часто остается в тени классического обучения с учителем. Однако именно эта «иммунная система» данных спасает миллионы долларов в финтехе, предотвращает катастрофы на производстве и находит критические ошибки в медицинских картах. В этой статье мы не просто импортируем готовые методы из sklearn. Мы разберем математическую логику трех мощных подходов, напишем их «примитивные» реализации на NumPy/Pandas, чтобы понять механику работы «под капотом», и проверим их в деле на реальном кейсе. Наш полигон: Credit Card Fraud Detection Для тестов мы возьмем классический датасет Credit Card Fraud Detection. Это идеальный пример «иголки в стоге сена»: здесь всего 0.17% мошеннических транзакций среди почти 300 тысяч записей. Смогут ли наши рукотворные алгоритмы их найти? Эволюция методов: от простого к сложному Мы пройдем путь от элементарной статистики до продвинутого геометрического анализа: IQR (Interquartile Range): Статистическая классика. Узнаем, как «усы» боксплота помогают находить грубые выбросы. Isolation Forest: Оригинальный подход, основанный на идее, что аномалию проще всего «изолировать» случайными разрезами пространства. Elliptic Envelope: Тяжелая артиллерия робастной статистики. Будем строить многомерный эллипс, который игнорирует попытки аномалий исказить его форму.

https://habr.com/ru/articles/996538/

#машинное+обучение #машинное_обучение #machinelearning #isolation_forest #anomaly_detection #поиск_аномалий #scikitlearn #mathematica #algorithms #python

Поиск аномалий: статистика или ML? Выбираем лучшее

Поиск аномалий под микроскопом: от базовой статистики до робастных моделей с нуля на NumPy В машинном обучении поиск аномалий (Anomaly Detection) часто остается в тени классического обучения с учителем. Однако именно эта «иммунная система» данных спасает миллионы долларов в финтехе, предотвращает катастрофы на производстве и находит критические ошибки в медицинских картах. В этой статье мы не просто импортируем готовые методы из sklearn. Мы разберем математическую логику трех мощных подходов, напишем их «примитивные» реализации на NumPy/Pandas, чтобы понять механику работы «под капотом», и проверим их в деле на реальном кейсе. Наш полигон: Credit Card Fraud Detection Для тестов мы возьмем классический датасет Credit Card Fraud Detection. Это идеальный пример «иголки в стоге сена»: здесь всего 0.17% мошеннических транзакций среди почти 300 тысяч записей. Смогут ли наши рукотворные алгоритмы их найти? Эволюция методов: от простого к сложному Мы пройдем путь от элементарной статистики до продвинутого геометрического анализа: IQR (Interquartile Range): Статистическая классика. Узнаем, как «усы» боксплота помогают находить грубые выбросы. Isolation Forest: Оригинальный подход, основанный на идее, что аномалию проще всего «изолировать» случайными разрезами пространства. Elliptic Envelope: Тяжелая артиллерия робастной статистики. Будем строить многомерный эллипс, который игнорирует попытки аномалий исказить его форму.

https://habr.com/ru/articles/996538/

#машинное+обучение #машинное_обучение #machinelearning #isolation_forest #anomaly_detection #поиск_аномалий #scikitlearn #mathematica #algorithms #python

Поиск аномалий: статистика или ML? Выбираем лучшее

Поиск аномалий под микроскопом: от базовой статистики до робастных моделей с нуля на NumPy В машинном обучении поиск аномалий (Anomaly Detection) часто остается в тени классического обучения с учителем. Однако именно эта «иммунная система» данных спасает миллионы долларов в финтехе, предотвращает катастрофы на производстве и находит критические ошибки в медицинских картах. В этой статье мы не просто импортируем готовые методы из sklearn. Мы разберем математическую логику трех мощных подходов, напишем их «примитивные» реализации на NumPy/Pandas, чтобы понять механику работы «под капотом», и проверим их в деле на реальном кейсе. Наш полигон: Credit Card Fraud Detection Для тестов мы возьмем классический датасет Credit Card Fraud Detection. Это идеальный пример «иголки в стоге сена»: здесь всего 0.17% мошеннических транзакций среди почти 300 тысяч записей. Смогут ли наши рукотворные алгоритмы их найти? Эволюция методов: от простого к сложному Мы пройдем путь от элементарной статистики до продвинутого геометрического анализа: IQR (Interquartile Range): Статистическая классика. Узнаем, как «усы» боксплота помогают находить грубые выбросы. Isolation Forest: Оригинальный подход, основанный на идее, что аномалию проще всего «изолировать» случайными разрезами пространства. Elliptic Envelope: Тяжелая артиллерия робастной статистики. Будем строить многомерный эллипс, который игнорирует попытки аномалий исказить его форму.

https://habr.com/ru/articles/996538/

#машинное+обучение #машинное_обучение #machinelearning #isolation_forest #anomaly_detection #поиск_аномалий #scikitlearn #mathematica #algorithms #python

What is a terminal?

Consider #Plan9
Consider #TidalCycles #Strudel
Consider #Mathematica

What is a text interface with support for math, graphs, tables/matrix, signal capture, analysis, generation, vector graphics, UI-objects, etc…?

#Question

What is a terminal?

Consider #Plan9
Consider #TidalCycles #Strudel
Consider #Mathematica

What is a text interface with support for math, graphs, tables/matrix, signal capture, analysis, generation, vector graphics, UI-objects, etc…?

#Question

#adventOfCode day 10 in #LuaLang and #Mathematica

https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.lua

• PC - 487 ms
• Raspberry Pi 4: a few seconds
• #ti92 Plus: N/A

Ok, finally all caught up and looking forward to some sleep and Day 12!

After a night and day in math land confusing myself with row echelon matrices and intersecting N-spaces, I remembered that I have a Raspberry Pi that for some reason has free preinstalled Mathematica.

So my Lua program code-gens a Mathematica program, which then runs on the Pi to solve Part B!

This generated code is checked in if you want to look at it - it's several thousand lines of simultaneous equations being solved with constraints applied: https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.m

Given all that, it's pleasantly fast. Mathematica over VNC on wifi is pretty laggy but the actual execution couldn't have taken more than a second or two!

(Yes, I did attempt to solve the equations on the TI-92+ #ticalc, as it has a very capable computer algebra system, but I couldn't figure out how to apply all the necessary constraints -- maybe later.)

#adventOfCode day 10 in #LuaLang and #Mathematica

https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.lua

• PC - 487 ms
• Raspberry Pi 4: a few seconds
• #ti92 Plus: N/A

Ok, finally all caught up and looking forward to some sleep and Day 12!

After a night and day in math land confusing myself with row echelon matrices and intersecting N-spaces, I remembered that I have a Raspberry Pi that for some reason has free preinstalled Mathematica.

So my Lua program code-gens a Mathematica program, which then runs on the Pi to solve Part B!

This generated code is checked in if you want to look at it - it's several thousand lines of simultaneous equations being solved with constraints applied: https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.m

Given all that, it's pleasantly fast. Mathematica over VNC on wifi is pretty laggy but the actual execution couldn't have taken more than a second or two!

(Yes, I did attempt to solve the equations on the TI-92+ #ticalc, as it has a very capable computer algebra system, but I couldn't figure out how to apply all the necessary constraints -- maybe later.)

#adventOfCode day 10 in #LuaLang and #Mathematica

https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.lua

• PC - 487 ms
• Raspberry Pi 4: a few seconds
• #ti92 Plus: N/A

Ok, finally all caught up and looking forward to some sleep and Day 12!

After a night and day in math land confusing myself with row echelon matrices and intersecting N-spaces, I remembered that I have a Raspberry Pi that for some reason has free preinstalled Mathematica.

So my Lua program code-gens a Mathematica program, which then runs on the Pi to solve Part B!

This generated code is checked in if you want to look at it - it's several thousand lines of simultaneous equations being solved with constraints applied: https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.m

Given all that, it's pleasantly fast. Mathematica over VNC on wifi is pretty laggy but the actual execution couldn't have taken more than a second or two!

(Yes, I did attempt to solve the equations on the TI-92+ #ticalc, as it has a very capable computer algebra system, but I couldn't figure out how to apply all the necessary constraints -- maybe later.)

#adventOfCode day 10 in #LuaLang and #Mathematica

https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.lua

• PC - 487 ms
• Raspberry Pi 4: a few seconds
• #ti92 Plus: N/A

Ok, finally all caught up and looking forward to some sleep and Day 12!

After a night and day in math land confusing myself with row echelon matrices and intersecting N-spaces, I remembered that I have a Raspberry Pi that for some reason has free preinstalled Mathematica.

So my Lua program code-gens a Mathematica program, which then runs on the Pi to solve Part B!

This generated code is checked in if you want to look at it - it's several thousand lines of simultaneous equations being solved with constraints applied: https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.m

Given all that, it's pleasantly fast. Mathematica over VNC on wifi is pretty laggy but the actual execution couldn't have taken more than a second or two!

(Yes, I did attempt to solve the equations on the TI-92+ #ticalc, as it has a very capable computer algebra system, but I couldn't figure out how to apply all the necessary constraints -- maybe later.)

#adventOfCode day 10 in #LuaLang and #Mathematica

https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.lua

• PC - 487 ms
• Raspberry Pi 4: a few seconds
• #ti92 Plus: N/A

Ok, finally all caught up and looking forward to some sleep and Day 12!

After a night and day in math land confusing myself with row echelon matrices and intersecting N-spaces, I remembered that I have a Raspberry Pi that for some reason has free preinstalled Mathematica.

So my Lua program code-gens a Mathematica program, which then runs on the Pi to solve Part B!

This generated code is checked in if you want to look at it - it's several thousand lines of simultaneous equations being solved with constraints applied: https://gitlab.cs.washington.edu/fidelp/advent-of-code-2025/-/blob/main/10.m

Given all that, it's pleasantly fast. Mathematica over VNC on wifi is pretty laggy but the actual execution couldn't have taken more than a second or two!

(Yes, I did attempt to solve the equations on the TI-92+ #ticalc, as it has a very capable computer algebra system, but I couldn't figure out how to apply all the necessary constraints -- maybe later.)

Anyone surprised that a naive implementation of Path Tracing in #Mathematica is horribly slow to run? 🤣

Anyone surprised that a naive implementation of Path Tracing in #Mathematica is horribly slow to run? 🤣

Anyone surprised that a naive implementation of Path Tracing in #Mathematica is horribly slow to run? 🤣

Anyone surprised that a naive implementation of Path Tracing in #Mathematica is horribly slow to run? 🤣

Anyone surprised that a naive implementation of Path Tracing in #Mathematica is horribly slow to run? 🤣

How-To Geek: I replaced Mathematica with this free and open-source alternative. “Mathematica is well-known for its ability to solve all kinds of math and science problems. It’s also notoriously expensive and closed-source. What if there was an open-source program for Linux that let you explore math for free? There is, and it’s called SageMath.”

https://rbfirehose.com/2025/11/07/how-to-geek-i-replaced-mathematica-with-this-free-and-open-source-alternative/

How-To Geek: I replaced Mathematica with this free and open-source alternative. “Mathematica is well-known for its ability to solve all kinds of math and science problems. It’s also notoriously expensive and closed-source. What if there was an open-source program for Linux that let you explore math for free? There is, and it’s called SageMath.”

https://rbfirehose.com/2025/11/07/how-to-geek-i-replaced-mathematica-with-this-free-and-open-source-alternative/

How-To Geek: I replaced Mathematica with this free and open-source alternative. “Mathematica is well-known for its ability to solve all kinds of math and science problems. It’s also notoriously expensive and closed-source. What if there was an open-source program for Linux that let you explore math for free? There is, and it’s called SageMath.”

https://rbfirehose.com/2025/11/07/how-to-geek-i-replaced-mathematica-with-this-free-and-open-source-alternative/