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Dual Number Automatic Differentiation - #8760

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cclauss merged 4 commits into
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May 25, 2023
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Dual Number Automatic Differentiation#8760
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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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var __re = new RegExp('^' + "github\\.com" + '
Dual Number Automatic Differentiation by chriso345 · Pull Request #8760 · TheAlgorithms/Python · GitHub
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Dual Number Automatic Differentiation - #8760

Merged
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

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@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Skip to content

Dual Number Automatic Differentiation - #8760

Merged
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

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@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Dual Number Automatic Differentiation by chriso345 · Pull Request #8760 · TheAlgorithms/Python · GitHub
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Dual Number Automatic Differentiation - #8760

Merged
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

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@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Dual Number Automatic Differentiation by chriso345 · Pull Request #8760 · TheAlgorithms/Python · GitHub
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Dual Number Automatic Differentiation - #8760

Merged
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

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@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Dual Number Automatic Differentiation by chriso345 · Pull Request #8760 · TheAlgorithms/Python · GitHub
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Dual Number Automatic Differentiation - #8760

Merged
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

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@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Skip to content

Dual Number Automatic Differentiation - #8760

Merged
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

Conversation

@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update maths/dual_number_automatic_differentiation.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); Dual Number Automatic Differentiation by chriso345 · Pull Request #8760 · TheAlgorithms/Python · GitHub
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Dual Number Automatic Differentiation - #8760

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cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master
May 25, 2023
Merged

Dual Number Automatic Differentiation#8760
cclauss merged 4 commits into
TheAlgorithms:masterfrom
chriso345:master

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@chriso345

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Describe your change:

Added an algorithm to differentiate an equation to find the exact solution using dual numbers.
Note this only works for basic functions, f(x) where the power of x is positive.

https://en.wikipedia.org/wiki/Automatic_differentiation#Automatic_differentiation_using_dual_numbers
https://blog.jliszka.org/2013/10/24/exact-numeric-nth-derivatives.html

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Comment threadmaths/dual_number_automatic_differentiation.py Outdated
@algorithms-keeperalgorithms-keeperBot added the tests are failing Do not merge until tests pass label May 24, 2023
@cclauss
cclauss merged commit 200429f into TheAlgorithms:masterMay 25, 2023
tianyizheng02 pushed a commit to tianyizheng02/Python that referenced this pull request May 29, 2023
* Added dual_number_automatic_differentiation.py
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* Update maths/dual_number_automatic_differentiation.py
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@isidroasisidroas mentioned this pull request Jan 25, 2025
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@chriso345@cclauss