Anki Deck Changes

Commit: d26a0dac - Daily housekeeping

Author: lhorva <lhorva@student.ethz.ch>

Date: 2025-12-24T01:51:08+01:00

Changes: 37 note(s) changed (0 added, 37 modified, 0 deleted)

ℹ️ Cosmetic Changes Hidden: 23 note(s) had formatting-only changes and are not shown below • 1 HTML formatting changes • 3 mixed cosmetic changes

Note 1: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Cloze
GUID: k#~pL>w{_$
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What are the prerequisites for \(f\) and \(g\) to apply l'Hôpital's?

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What are the prerequisites for \(f\) and \(g\) to apply l'Hôpital's?

  1. \(f: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\) and \(g: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\) are differentiable
  2. \(\lim_{x \rightarrow \infty} f(x) = \lim_{x \rightarrow \infty} g(x) = \infty\) they tend to infinity
  3. and \(\forall x \in \mathbb{R}^{+} , g'(x) \neq 0\) and \(g\) never equals to 0
This guarantees that we can take the fraction f/g

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What are the prerequisites for \(f\) and \(g\) to apply l'Hôpital's?
  1. {{c1::\(f: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\) and \(g: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\) are differentiable}}
  2. {{c2::\(\lim_{x \rightarrow \infty} f(x) = \lim_{x \rightarrow \infty} g(x) = \infty\) (they tend to infinity)}}
  3. {{c3::\(\forall x \in \mathbb{R}^{+} , g'(x) \neq 0\) and \(g\) never equals to 0}}

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What are the prerequisites for \(f\) and \(g\) to apply l'Hôpital's?
  1. {{c1::\(f: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\) and \(g: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\) are differentiable}}
  2. {{c2::\(\lim_{x \rightarrow \infty} f(x) = \lim_{x \rightarrow \infty} g(x) = \infty\) (they tend to infinity)}}
  3. {{c3::\(\forall x \in \mathbb{R}^{+} , g'(x) \neq 0\) and \(g\) never equals to 0}}

This guarantees that we can take the fraction f/g.
Field-by-field Comparison
Field Before After
Text What are the prerequisites for&nbsp;\(f\)&nbsp;and&nbsp;\(g\)&nbsp;to apply l'Hôpital's? What are the prerequisites for&nbsp;\(f\)&nbsp;and&nbsp;\(g\)&nbsp;to apply l'Hôpital's?<br><ol><li>{{c1::\(f: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\)&nbsp;and&nbsp;\(g: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\)&nbsp;are&nbsp;<b>differentiable</b>}}<br></li><li>{{c2::\(\lim_{x \rightarrow \infty} f(x) = \lim_{x \rightarrow \infty} g(x) = \infty\)&nbsp;(they&nbsp;<b>tend to infinity)</b>}}<br></li><li>{{c3::\(\forall x \in \mathbb{R}^{+} , g'(x) \neq 0\)&nbsp;and&nbsp;\(g\)&nbsp;<b>never equals to 0</b>}}</li></ol>
Extra <ol><li>\(f: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\)&nbsp;and \(g: \mathbb{R}^{+} \rightarrow \mathbb{R}^{+}\)&nbsp;are <b>differentiable</b></li><li>\(\lim_{x \rightarrow \infty} f(x) = \lim_{x \rightarrow \infty} g(x) = \infty\)&nbsp;they <b>tend to infinity</b></li><li>and \(\forall x \in \mathbb{R}^{+} , g'(x) \neq 0\)&nbsp;and&nbsp;\(g\)&nbsp;<b>never equals to 0</b></li></ol><div>This guarantees that we can take the fraction f/g</div> This guarantees that we can take the fraction f/g.
Tags: ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation

Note 2: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Classic
GUID: D%cpEp.*I3
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::huh
L'Hôpital's Rule:

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::huh
L'Hôpital's Rule:

If \(\lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = C \in \mathbb{R}^{+}0\) or \(\lim{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = \infty\), then:
\[\lim_{x \rightarrow \infty} \frac{f(x)}{g(x)} = \lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)}\]The ratio of the derivatives tend to the same limit

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What is L'Hôpital's Rule?

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What is L'Hôpital's Rule?

If \(\lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = C \in \mathbb{R}^{+}\cup\set0\) or \(\lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = \infty\), then:
\[\lim_{x \rightarrow \infty} \frac{f(x)}{g(x)} = \lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)}\]The ratio of the derivatives tend to the same limit.
Field-by-field Comparison
Field Before After
Front L'Hôpital's Rule: What is L'Hôpital's Rule?
Back <div>If&nbsp;\(\lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = C \in \mathbb{R}^{+}0\)&nbsp;or&nbsp;\(\lim{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = \infty\), then:</div> <div>\[\lim_{x \rightarrow \infty} \frac{f(x)}{g(x)} = \lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)}\]The ratio of the&nbsp;<b>derivatives</b>&nbsp;tend to the&nbsp;<b>same limit</b><br></div> <div>If&nbsp;\(\lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = C \in \mathbb{R}^{+}\cup\set0\)&nbsp;or&nbsp;\(\lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)} = \infty\), then:</div> <div>\[\lim_{x \rightarrow \infty} \frac{f(x)}{g(x)} = \lim_{x \rightarrow \infty} \frac{f’(x)}{g’(x)}\]The ratio of the&nbsp;<b>derivatives</b>&nbsp;tend to the&nbsp;<b>same limit.</b><br></div>
Tags: PlsFix::huh ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation

Note 3: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Classic
GUID: ch>ShkzK.z
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Recursive Equation solved by Master Theorem

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Recursive Equation solved by Master Theorem

Recurrences of the form \(T(n) \leq aT(n/2) + Cn^b\)
where \(a\), \(C > 0\) and \(b \geq 0\) are constants.

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What is the form of the recursive equations solved by the Master Theorem?

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
What is the form of the recursive equations solved by the Master Theorem?

Recurrences of the form \(T(n) \leq aT(n/2) + Cn^b\)
where \(a\), \(C > 0\) and \(b \geq 0\) are constants.
Field-by-field Comparison
Field Before After
Front Recursive Equation solved by Master Theorem What is the form of the recursive equations solved by the Master Theorem?
Tags: ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation

Note 4: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Cloze
GUID: bE2IXoJWO/
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: \(T(n) \leq aT(n/2) + Cn^b\),    \(a\) is number of recursive subproblems (must be \(> 0\)).

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: \(T(n) \leq aT(n/2) + Cn^b\),    \(a\) is number of recursive subproblems (must be \(> 0\)).

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: In \(T(n) \leq aT(n/2) + Cn^b\), \(a\) is the number of recursive subproblems (must be \(> 0\)).

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: In \(T(n) \leq aT(n/2) + Cn^b\), \(a\) is the number of recursive subproblems (must be \(> 0\)).
Field-by-field Comparison
Field Before After
Text Master Theorem:&nbsp;\(T(n) \leq aT(n/2) + Cn^b\),&nbsp; &nbsp;&nbsp;\(a\)&nbsp;is {{c1:: number of <b>recursive subproblems</b> (must be&nbsp;\(&gt; 0\))}}. Master Theorem: In&nbsp;\(T(n) \leq aT(n/2) + Cn^b\),&nbsp;\(a\)&nbsp;is {{c1::the number of <b>recursive subproblems</b> (must be&nbsp;\(&gt; 0\))}}.
Tags: ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation

Note 5: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Cloze
GUID: Fzt_!E{2Xk
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: \(T(n) \leq aT(n/2) + Cn^b\),   \(Cn^b\) is the work done outside the recursive calls (\(\geq 0\)).

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: \(T(n) \leq aT(n/2) + Cn^b\),   \(Cn^b\) is the work done outside the recursive calls (\(\geq 0\)).

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: In \(T(n) \leq aT(n/2) + Cn^b\),   \(Cn^b\) is the work done outside the recursive calls (\(\geq 0\)).

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
Master Theorem: In \(T(n) \leq aT(n/2) + Cn^b\),   \(Cn^b\) is the work done outside the recursive calls (\(\geq 0\)).
Field-by-field Comparison
Field Before After
Text Master Theorem:&nbsp;\(T(n) \leq aT(n/2) + Cn^b\),&nbsp; &nbsp;\(Cn^b\)&nbsp;is {{c1:: the work done outside the recursive calls (\(\geq 0\))}}. Master Theorem: In&nbsp;\(T(n) \leq aT(n/2) + Cn^b\),&nbsp; &nbsp;\(Cn^b\)&nbsp;is {{c1:: the work done outside the recursive calls (\(\geq 0\))}}.
Tags: ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation

Note 6: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Classic
GUID: NDIo0EK5KX
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
If \(T(n) \geq aT(n/ 2) + Cn^b\) then the O-Notation gives

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
If \(T(n) \geq aT(n/ 2) + Cn^b\) then the O-Notation gives

\(T(n) \geq \Omega(...)\) 

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::ClozeThatBish
If \(T(n) \geq aT(n/ 2) + Cn^b\), then the O-Notation gives

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::ClozeThatBish
If \(T(n) \geq aT(n/ 2) + Cn^b\), then the O-Notation gives

\(T(n) \geq \Omega(...)\) 
Field-by-field Comparison
Field Before After
Front If&nbsp;\(T(n) \geq aT(n/ 2) + Cn^b\)&nbsp;then the O-Notation gives If&nbsp;\(T(n) \geq aT(n/ 2) + Cn^b\),&nbsp;then the O-Notation gives
Tags: ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::ClozeThatBish

Note 7: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Classic
GUID: ms|2]oAD;M
modified

Before

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
If \(T(n) = aT(n/ 2) + Cn^b\) then the O-Notation gives

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation
If \(T(n) = aT(n/ 2) + Cn^b\) then the O-Notation gives

\(T(n) = \Theta(...)\)

After

Front

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::ClozeThatBish
If  \(T(n) = aT(n/ 2) + Cn^b\), then the O-Notation gives

Back

ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::ClozeThatBish
If  \(T(n) = aT(n/ 2) + Cn^b\), then the O-Notation gives

\(T(n) = \Theta(...)\)
Field-by-field Comparison
Field Before After
Front If&nbsp;\(T(n) = aT(n/ 2) + Cn^b\)&nbsp;then the O-Notation gives If&nbsp;&nbsp;\(T(n) = aT(n/ 2) + Cn^b\),&nbsp;then the O-Notation gives
Tags: ETH::1._Semester::A&D::02._Asymptotic_Notation::3._O-Notation PlsFix::ClozeThatBish

Note 8: ETH::A&D

Deck: ETH::A&D
Note Type: Horvath Cloze
GUID: Q3:!A9V`D,
modified

Before

Front

ETH::1._Semester::A&D::06._Dynamic_Programming
Steps of giving a DP solution:
  1. Define the DP table (dimensions, index, range; meaning of entry): ex: DP[1..n+1][1..k+1]
  2. Computation of Entry (Base Case, recursive formula, pay attention to bounds!)
  3. Calculation Order (what depends on what entries, what variable incremented first)
  4. Extract Solution (How to get final solution out)
  5. Running time proof

Back

ETH::1._Semester::A&D::06._Dynamic_Programming
Steps of giving a DP solution:
  1. Define the DP table (dimensions, index, range; meaning of entry): ex: DP[1..n+1][1..k+1]
  2. Computation of Entry (Base Case, recursive formula, pay attention to bounds!)
  3. Calculation Order (what depends on what entries, what variable incremented first)
  4. Extract Solution (How to get final solution out)
  5. Running time proof

SMIROST (Size, Meaning, Initialisation, Recursive,  Order, Solution, Time)

After

Front

ETH::1._Semester::A&D::06._Dynamic_Programming
Steps of giving a DP solution:
  1. Define the DP table (dimensions, index, range; meaning of entry): ex: DP[1..n+1][1..k+1]
  2. Computation of Entry (Base Case, recursive formula, pay attention to bounds!)
  3. Calculation Order (what depends on what entries, what variable incremented first)
  4. Extract Solution (How to get final solution out)
  5. Running time proof

Back

ETH::1._Semester::A&D::06._Dynamic_Programming
Steps of giving a DP solution:
  1. Define the DP table (dimensions, index, range; meaning of entry): ex: DP[1..n+1][1..k+1]
  2. Computation of Entry (Base Case, recursive formula, pay attention to bounds!)
  3. Calculation Order (what depends on what entries, what variable incremented first)
  4. Extract Solution (How to get final solution out)
  5. Running time proof

SMIROST (Size, Meaning, Initialisation, Recursive,  Order, Solution, Time)


Smiling Monkey In Red Overall Steals Tacos
Field-by-field Comparison
Field Before After
Extra SMIROST (Size, Meaning, Initialisation, Recursive,&nbsp; Order, Solution, Time) SMIROST (Size, Meaning, Initialisation, Recursive,&nbsp; Order, Solution, Time)<br><br><img alt="" src="https://chatgpt.com/backend-api/estuary/content?id=file_00000000b144722fb24d37aefc63a244&amp;ts=490704&amp;p=fs&amp;cid=1&amp;sig=9139f521032b1f527f402bd9e46aa4fc98c1c346920ce78fa1198c460ce702b0&amp;v=0"><img src="b8ad5128-8b94-4df8-a395-8fcd177c0ef6.png"><br><strong>S</strong>miling <strong>M</strong>onkey <strong>I</strong>n <strong>R</strong>ed <strong>O</strong>verall&nbsp;<strong>S</strong>teals <strong>T</strong>acos<img alt="" src="https://chatgpt.com/backend-api/estuary/content?id=file_00000000b144722fb24d37aefc63a244&amp;ts=490704&amp;p=fs&amp;cid=1&amp;sig=9139f521032b1f527f402bd9e46aa4fc98c1c346920ce78fa1198c460ce702b0&amp;v=0">
Tags: ETH::1._Semester::A&D::06._Dynamic_Programming

Note 9: ETH::A&D

Deck: ETH::A&D
Note Type: Algorithms
GUID: gE_4/z}oud
modified

Before

Front

ETH::1._Semester::A&D::06._Dynamic_Programming::4._ED
Runtime of Editing Distance?

Back

ETH::1._Semester::A&D::06._Dynamic_Programming::4._ED
Runtime of Editing Distance?

\(\Theta(n \cdot m)\)

After

Front

ETH::1._Semester::A&D::06._Dynamic_Programming::5._Edit_Distance
Runtime of Edit Distance?

Back

ETH::1._Semester::A&D::06._Dynamic_Programming::5._Edit_Distance
Runtime of Edit Distance?

\(\Theta(n \cdot m)\)
Field-by-field Comparison
Field Before After
Name Editing Distance Edit Distance
Tags: ETH::1._Semester::A&D::06._Dynamic_Programming::4._ED ETH::1._Semester::A&D::06._Dynamic_Programming::5._Edit_Distance

Note 10: ETH::DiskMat

Deck: ETH::DiskMat
Note Type: Horvath Classic
GUID: i;]362(]mf
modified

Before

Front

ETH::1._Semester::DiskMat::3._Sets,_Relations,_and_Functions::2._Sets_and_Operations_on_Sets::2._Set_Equality_and_Constructing_Sets_From_Sets
If two singleton sets are equal, what can we conclude about their elements?

Back

ETH::1._Semester::DiskMat::3._Sets,_Relations,_and_Functions::2._Sets_and_Operations_on_Sets::2._Set_Equality_and_Constructing_Sets_From_Sets
If two singleton sets are equal, what can we conclude about their elements?

For any sets \(a\) and \(b\), \(\{a\} = \{b\} \Longrightarrow a = b\)

After

Front

ETH::1._Semester::DiskMat::3._Sets,_Relations,_and_Functions::2._Sets_and_Operations_on_Sets::2._Set_Equality_and_Constructing_Sets_From_Sets
If two singleton sets are equal, what can we conclude about their elements?

Back

ETH::1._Semester::DiskMat::3._Sets,_Relations,_and_Functions::2._Sets_and_Operations_on_Sets::2._Set_Equality_and_Constructing_Sets_From_Sets
If two singleton sets are equal, what can we conclude about their elements?

For any sets \(a\) and \(b\), \(\{a\} = \{b\} \Longrightarrow a = b\)

(A singleton is a set with one element.)
Field-by-field Comparison
Field Before After
Back For any sets \(a\) and \(b\), \(\{a\} = \{b\} \Longrightarrow a = b\) For any sets \(a\) and \(b\), \(\{a\} = \{b\} \Longrightarrow a = b\)<br><br>(A singleton is a set with one element.)
Tags: ETH::1._Semester::DiskMat::3._Sets,_Relations,_and_Functions::2._Sets_and_Operations_on_Sets::2._Set_Equality_and_Constructing_Sets_From_Sets

Note 11: ETH::DiskMat

Deck: ETH::DiskMat
Note Type: Horvath Cloze
GUID: Ma#P3o/Xx{
modified

Before

Front

ETH::1._Semester::DiskMat::5._Algebra::2._Monoids_and_Groups::3._Inverses_and_Groups PlsFix::DUPLICATE

A group is an algebra \(\langle G; *, \widehat{\ \ }, e \rangle\) satisfying three axioms: G1 (associativity), G2 (neutral element), and G3 (inverse elements).

Back

ETH::1._Semester::DiskMat::5._Algebra::2._Monoids_and_Groups::3._Inverses_and_Groups PlsFix::DUPLICATE

A group is an algebra \(\langle G; *, \widehat{\ \ }, e \rangle\) satisfying three axioms: G1 (associativity), G2 (neutral element), and G3 (inverse elements).

After

Front

ETH::1._Semester::DiskMat::5._Algebra::2._Monoids_and_Groups::3._Inverses_and_Groups

A group is an algebra \(\langle G; *, \widehat{\ \ }, e \rangle\) satisfying three axioms: G1 (associativity), G2 (neutral element), and G3 (inverse elements).

Back

ETH::1._Semester::DiskMat::5._Algebra::2._Monoids_and_Groups::3._Inverses_and_Groups

A group is an algebra \(\langle G; *, \widehat{\ \ }, e \rangle\) satisfying three axioms: G1 (associativity), G2 (neutral element), and G3 (inverse elements).

Field-by-field Comparison
Field Before After
Text <p>A {{c1::group}} is an algebra \(\langle G; *, \widehat{\ \ }, e \rangle\) satisfying three axioms: {{c3::G1 (associativity)}}, {{c4::G2 (neutral element)}}, and {{c5::G3 (inverse elements)}}.</p> <p>A {{c1::group}} is an algebra \(\langle G; *, \widehat{\ \ }, e \rangle\) satisfying {{c2::three}} axioms: {{c3::G1 (associativity)}}, {{c4::G2 (neutral element)}}, and {{c5::G3 (inverse elements)}}.</p>
Tags: PlsFix::DUPLICATE ETH::1._Semester::DiskMat::5._Algebra::2._Monoids_and_Groups::3._Inverses_and_Groups

Note 12: ETH::EProg

Deck: ETH::EProg
Note Type: Horvath Cloze
GUID: OJ16/M<6a6
modified

Before

Front

ETH::1._Semester::EProg::1._EBNF::3._Control_Forms::2._Decision
An option in EBNF can be written as [E] or E | \(\epsilon\).

Back

ETH::1._Semester::EProg::1._EBNF::3._Control_Forms::2._Decision
An option in EBNF can be written as [E] or E | \(\epsilon\).

After

Front

ETH::1._Semester::EProg::1._EBNF::3._Control_Forms::2._Decision
An option in EBNF can be written as [ E ] or E | \(\epsilon\).

Back

ETH::1._Semester::EProg::1._EBNF::3._Control_Forms::2._Decision
An option in EBNF can be written as [ E ] or E | \(\epsilon\).
Field-by-field Comparison
Field Before After
Text An option in EBNF can be written as {{c1::[E]}} or {{c2::E |&nbsp;\(\epsilon\)}}. An option in EBNF can be written as {{c1::[ E ]}} or {{c2::E |&nbsp;\(\epsilon\)}}.
Tags: ETH::1._Semester::EProg::1._EBNF::3._Control_Forms::2._Decision

Note 13: ETH::EProg

Deck: ETH::EProg
Note Type: Horvath Cloze
GUID: m)$PxVQ^IS
modified

Before

Front

ETH::1._Semester::EProg::1._EBNF::4._Derivations
Zwei EBNF-Beschreibungen sind äquivalent falls ihre Sprachen gleich sind

Back

ETH::1._Semester::EProg::1._EBNF::4._Derivations
Zwei EBNF-Beschreibungen sind äquivalent falls ihre Sprachen gleich sind

After

Front

ETH::1._Semester::EProg::1._EBNF::4._Derivations
Zwei EBNF-Beschreibungen sind äquivalent falls ihre Sprachen gleich sind.

Back

ETH::1._Semester::EProg::1._EBNF::4._Derivations
Zwei EBNF-Beschreibungen sind äquivalent falls ihre Sprachen gleich sind.
Field-by-field Comparison
Field Before After
Text Zwei EBNF-Beschreibungen sind äquivalent falls {{c1:: ihre Sprachen gleich sind}} Zwei EBNF-Beschreibungen sind äquivalent falls {{c1:: ihre Sprachen gleich sind.}}
Tags: ETH::1._Semester::EProg::1._EBNF::4._Derivations

Note 14: ETH::EProg

Deck: ETH::EProg
Note Type: Horvath Cloze
GUID: IQ4$mZs7/D
modified

Before

Front

ETH::1._Semester::EProg::2._First_Java_Programs::3._Simple_Calculations::1._Types,_Variables,_Values
Primitive types include: 
char
short
int
long
double
float
boolean
byte

Back

ETH::1._Semester::EProg::2._First_Java_Programs::3._Simple_Calculations::1._Types,_Variables,_Values
Primitive types include: 
char
short
int
long
double
float
boolean
byte

After

Front

ETH::1._Semester::EProg::2._First_Java_Programs::3._Simple_Calculations::1._Types,_Variables,_Values
The 8 primitve types of Java are:
  1. byte
  2. char
  3. short
  4. int
  5. long
  6. float
  7. double
  8. boolean

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ETH::1._Semester::EProg::2._First_Java_Programs::3._Simple_Calculations::1._Types,_Variables,_Values
The 8 primitve types of Java are:
  1. byte
  2. char
  3. short
  4. int
  5. long
  6. float
  7. double
  8. boolean
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Text Primitive types include:&nbsp;<br>{{c1:: char}}<br>{{c6:: short}}<br>{{c2:: int}}<br>{{c3:: long }}<br>{{c4:: double}}<br>{{c7:: float}}<br>{{c5:: boolean}}<br>{{c8:: byte}} The 8 primitve types of Java are:<br><ol><li>{{c1:: byte}}</li><li>{{c2:: char}}</li><li>{{c3:: short}}</li><li>{{c4:: int}}</li><li>{{c5:: long}}</li><li>{{c6:: float}}</li><li>{{c7:: double}}</li><li>{{c8:: boolean}}</li></ol>
Tags: ETH::1._Semester::EProg::2._First_Java_Programs::3._Simple_Calculations::1._Types,_Variables,_Values
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