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fdaPDE

Physics-Informed Spatial and Functional Data Analysis

test-linux-gcctest-linux-clangtest-macos-clang

fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.

It is built on top of the fdaPDE Core Library.

Documentation

Documentation can be found on our documentation site

Installation

The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:

  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)

Instructions to install the library:

  1. Clone the repository: 
    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule: 
    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory: 
    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh

It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp

About

A C++ library for physics-informed spatial and functional data analysis over complex domains.

fdapde.github.io/

Resources

Readme
GPL-3.0 license
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
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Watchers
0 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
 fdaPDE 
 Physics-Informed Spatial and Functional Data Analysis 
test-linux-gcctest-linux-clangtest-macos-clang
fdaPDE is a C++ library for the analysis of spatial and functional data observed over complex multidimensional domains, featuring a Partial Differential Equation regularization.
It is built on top of the fdaPDE Core Library.
Documentation
Documentation can be found on our documentation site
Installation
The source code of this project can be found at https://github.com/RiccardoSena/fdaPDE-cpp.git, which is a fork of the fdaPDE repository. The prerequisites to install and run test cases are:
  • A C++17 compliant compiler
  • Make
  • CMake
  • The Eigen library (at least version 3.3)
Instructions to install the library:
  1. Clone the repository:

    git clone https://github.com/RiccardoSena/fdaPDE-cpp.git
  2. Then, navigate into the develop branch and update the core submodule:

    cd fdaPDE-cpp
git submodule init
git submodule update
  3. To run the test cases, use the following commands inside the fdaPDE-cpp directory:

    cdtest
mkdir build
cd build
cmake ..
make
cd ..
./run_tests.sh
It should be noted that in the test/main.cpp file, one can choose to run all tests about different models and methods. The ones that are compliant to our development are test/src/inference_test.cpp and test/src/inferencetime_test.cpp
About
A C++ library for physics-informed spatial and functional data analysis over complex domains.
fdapde.github.io/
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Contributors
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