The document discusses chords of a parabola. It defines a chord as a line segment connecting two points on a parabola. It shows that the slope of any chord can be expressed as a simple formula involving the x-intercepts of the chord points. It also proves that the slope of a focal chord, which passes through the focus, is always 1/2.
SOCG: Linear-Size Approximations to the Vietoris-Rips FiltrationDon Sheehy
The Vietoris-Rips filtration is a versatile tool in topological data analysis.
Unfortunately, it is often too large to construct in full.
We show how to construct an $O(n)$-size filtered simplicial complex on an $n$-point metric space such that the persistence diagram is a good approximation to that of the Vietoris-Rips filtration.
The filtration can be constructed in $O(n\log n)$ time.
The constants depend only on the doubling dimension of the metric space and the desired tightness of the approximation.
For the first time, this makes it computationally tractable to approximate the persistence diagram of the Vietoris-Rips filtration across all scales for large data sets.
Our approach uses a hierarchical net-tree to sparsify the filtration.
We can either sparsify the data by throwing out points at larger scales to give a zigzag filtration,
or sparsify the underlying graph by throwing out edges at larger scales to give a standard filtration.
Both methods yield the same guarantees.
SOCG: Linear-Size Approximations to the Vietoris-Rips FiltrationDon Sheehy
The Vietoris-Rips filtration is a versatile tool in topological data analysis.
Unfortunately, it is often too large to construct in full.
We show how to construct an $O(n)$-size filtered simplicial complex on an $n$-point metric space such that the persistence diagram is a good approximation to that of the Vietoris-Rips filtration.
The filtration can be constructed in $O(n\log n)$ time.
The constants depend only on the doubling dimension of the metric space and the desired tightness of the approximation.
For the first time, this makes it computationally tractable to approximate the persistence diagram of the Vietoris-Rips filtration across all scales for large data sets.
Our approach uses a hierarchical net-tree to sparsify the filtration.
We can either sparsify the data by throwing out points at larger scales to give a zigzag filtration,
or sparsify the underlying graph by throwing out edges at larger scales to give a standard filtration.
Both methods yield the same guarantees.
Aurelian Isar - Decoherence And Transition From Quantum To Classical In Open ...SEENET-MTP
Lecture by Prof. Dr. Aurelian Isar (Department of Theoretical Physics, National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania) on October 20, 2011 at the Faculty of Science and Mathematics, Nis, Serbia.
Aurelian Isar - Decoherence And Transition From Quantum To Classical In Open ...SEENET-MTP
Lecture by Prof. Dr. Aurelian Isar (Department of Theoretical Physics, National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania) on October 20, 2011 at the Faculty of Science and Mathematics, Nis, Serbia.
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Embracing GenAI - A Strategic ImperativePeter Windle
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
4. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
x
5. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
6. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
7. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
ap 2 aq 2
mPQ
2ap 2aq
8. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
ap 2 aq 2
mPQ
2ap 2aq
a p q p q
2a p q
pq
2
9. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
ap 2 aq 2 pq
mPQ y ap
2
x 2ap
2ap 2aq 2
a p q p q
2a p q
pq
2
10. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
ap 2 aq 2 pq
mPQ y ap
2
x 2ap
2ap 2aq 2
a p q p q
2 y 2ap 2 p q x 2ap 2 2apq
2a p q
pq
2
11. Chords of a Parabola
(1) Chord
y x 2 4ay
P(2ap, ap 2 )
Q(2aq, aq 2 )
x
ap 2 aq 2 pq
mPQ y ap
2
x 2ap
2ap 2aq 2
a p q p q
2 y 2ap 2 p q x 2ap 2 2apq
2a p q
pq p q x 2 y 2apq
2
13. (2) Focal Chord (chord passes through focus)
y x 2 4ay
P(2ap, ap 2 ) Q(2aq, aq 2 )
x
14. (2) Focal Chord (chord passes through focus)
y x 2 4ay
S 0, a
2
P(2ap, ap ) Q(2aq, aq 2 )
x
15. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
S 0, a
2
P(2ap, ap ) Q(2aq, aq 2 )
x
16. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 ) Q(2aq, aq 2 )
x
17. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
18. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
If PQ is a focal chord
mPQ mPS
19. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
If PQ is a focal chord
mPQ mPS
p2 1 p q
2p 2
20. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
If PQ is a focal chord
mPQ mPS
p2 1 p q
2p 2
p 2 1 p 2 pq
pq 1
21. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
OR If PQ is a focal chord
(if you have derived equation of chord already) mPQ mPS
p2 1 p q
2p 2
p 2 1 p 2 pq
pq 1
22. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
OR If PQ is a focal chord
(if you have derived equation of chord already) mPQ mPS
1 p q x 2 y 2apq p2 1 p q
2p 2
p 2 1 p 2 pq
pq 1
23. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
OR If PQ is a focal chord
(if you have derived equation of chord already) mPQ mPS
1 p q x 2 y 2apq p2 1 p q
2 (0,a) lies on the chord: 2p 2
p 2 1 p 2 pq
pq 1
24. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
OR If PQ is a focal chord
(if you have derived equation of chord already) mPQ mPS
1 p q x 2 y 2apq p2 1 p q
2 (0,a) lies on the chord: 2a 2apq 2p 2
pq 1 p 2 1 p 2 pq
pq 1
25. (2) Focal Chord (chord passes through focus)
y x 2 4ay pq
1 Prove mPQ
2
ap a
2
2 mPS
S 0, a 2ap 0
P(2ap, ap 2 )
a p 2 1
Q(2aq, aq 2 )
x 2ap
p2 1
2p
OR If PQ is a focal chord
(if you have derived equation of chord already) mPQ mPS
1 p q x 2 y 2apq p2 1 p q
2 (0,a) lies on the chord: 2a 2apq 2p 2
pq 1 p 2 1 p 2 pq
Exercise 9E; 1ac, 2, 3, 4, 5, 7 pq 1