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3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
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* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
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97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
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chore: improve comments and add tests to trapezoidal rule by jurichar · Pull Request #11640 · TheAlgorithms/Python · GitHub
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3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
Expand Down
97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
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Skip to content
3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
Expand Down
97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
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Skip to content
3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
Expand Down
97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
, '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" + ' chore: improve comments and add tests to trapezoidal rule by jurichar · Pull Request #11640 · TheAlgorithms/Python · GitHub
Skip to content
3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
Expand Down
97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
, '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('^' + ".*" + ' chore: improve comments and add tests to trapezoidal rule by jurichar · Pull Request #11640 · TheAlgorithms/Python · GitHub
Skip to content
3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
Expand Down
97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' chore: improve comments and add tests to trapezoidal rule by jurichar · Pull Request #11640 · TheAlgorithms/Python · GitHub
Skip to content
3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
Expand Down
97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


Expand Down
, '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); } })(); })(); chore: improve comments and add tests to trapezoidal rule by jurichar · Pull Request #11640 · TheAlgorithms/Python · GitHub
Skip to content
3 changes: 3 additions & 0 deletions DIRECTORY.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -142,6 +142,7 @@
* [Haralick Descriptors](computer_vision/haralick_descriptors.py)
* [Harris Corner](computer_vision/harris_corner.py)
* [Horn Schunck](computer_vision/horn_schunck.py)
* [Intensity Based Segmentation](computer_vision/intensity_based_segmentation.py)
* [Mean Threshold](computer_vision/mean_threshold.py)
* [Mosaic Augmentation](computer_vision/mosaic_augmentation.py)
* [Pooling Functions](computer_vision/pooling_functions.py)
Expand DownExpand Up@@ -507,6 +508,7 @@
* [Kahns Algorithm Long](graphs/kahns_algorithm_long.py)
* [Kahns Algorithm Topo](graphs/kahns_algorithm_topo.py)
* [Karger](graphs/karger.py)
* [Lanczos Eigenvectors](graphs/lanczos_eigenvectors.py)
* [Markov Chain](graphs/markov_chain.py)
* [Matching Min Vertex Cover](graphs/matching_min_vertex_cover.py)
* [Minimum Path Sum](graphs/minimum_path_sum.py)
Expand DownExpand Up@@ -886,6 +888,7 @@
* [N Body Simulation](physics/n_body_simulation.py)
* [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
* [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
* [Period Of Pendulum](physics/period_of_pendulum.py)
* [Photoelectric Effect](physics/photoelectric_effect.py)
* [Potential Energy](physics/potential_energy.py)
* [Rainfall Intensity](physics/rainfall_intensity.py)
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97 changes: 55 additions & 42 deletions maths/trapezoidal_rule.py
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,25 @@
"""
Numerical integration or quadrature for a smooth function f with known values at x_i

This method is the classical approach of suming 'Equally Spaced Abscissas'

method 1:
"extended trapezoidal rule"
int(f) = dx/2 * (f1 + 2f2 + ... + fn)

"""


def method_1(boundary, steps):
def trapezoidal_rule(boundary, steps):
"""
Apply the extended trapezoidal rule to approximate the integral of function f(x)
over the interval defined by 'boundary' with the number of 'steps'.

Args:
boundary (list of floats): A list containing the start and end values [a, b].
steps (int): The number of steps or subintervals.
Returns:
float: Approximation of the integral of f(x) over [a, b].
Examples:
>>> method_1([0, 1], 10)
0.3349999999999999
Implements the extended trapezoidal rule for numerical integration.
The function f(x) is provided below.

:param boundary: List containing the lower and upper bounds of integration [a, b]
:param steps: The number of steps (intervals) used in the approximation
:return: The numerical approximation of the integral

>>> abs(trapezoidal_rule([0, 1], 10) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 1], 100) - 0.33333) < 0.01
True
>>> abs(trapezoidal_rule([0, 2], 1000) - 2.66667) < 0.01
True
>>> abs(trapezoidal_rule([1, 2], 1000) - 2.33333) < 0.01
True
"""
h = (boundary[1] - boundary[0]) / steps
a = boundary[0]
Expand All@@ -31,57 +28,73 @@ def method_1(boundary, steps):
y = 0.0
y += (h / 2.0) * f(a)
for i in x_i:
# print(i)
y += h * f(i)
y += (h / 2.0) * f(b)
return y


def make_points(a, b, h):
"""
Generates points between 'a' and 'b' with step size 'h', excluding the end points.
Args:
a (float): Start value
b (float): End value
h (float): Step size
Examples:
Generates points between a and b with step size h for trapezoidal integration.

:param a: The lower bound of integration
:param b: The upper bound of integration
:param h: The step size
:yield: The next x-value in the range (a, b)

>>> list(make_points(0, 1, 0.1)) # doctest: +NORMALIZE_WHITESPACE
[0.1, 0.2, 0.30000000000000004, 0.4, 0.5, 0.6, 0.7, 0.7999999999999999, \
0.8999999999999999]
>>> list(make_points(0, 10, 2.5))
[2.5, 5.0, 7.5]

>>> list(make_points(0, 10, 2))
[2, 4, 6, 8]

>>> list(make_points(1, 21, 5))
[6, 11, 16]

>>> list(make_points(1, 5, 2))
[3]

>>> list(make_points(1, 4, 3))
[]
"""
x = a + h
while x <= (b - h):
yield x
x = x + h
x += h


def f(x): # enter your function here
def f(x):
"""
Example:
>>> f(2)
4
This is the function to integrate, f(x) = (x - 0)^2 = x^2.

:param x: The input value
:return: The value of f(x)

>>> f(0)
0
>>> f(1)
1
>>> f(0.5)
0.25
"""
y = (x - 0) * (x - 0)
return y
return x**2


def main():
a = 0.0 # Lower bound of integration
b = 1.0 # Upper bound of integration
steps = 10.0 # define number of steps or resolution
boundary = [a, b] # define boundary of integration
y = method_1(boundary, steps)
"""
Main function to test the trapezoidal rule.
:a: Lower bound of integration
:b: Upper bound of integration
:steps: define number of steps or resolution
:boundary: define boundary of integration

>>> main()
y = 0.3349999999999999
"""
a = 0.0
b = 1.0
steps = 10.0
boundary = [a, b]
y = trapezoidal_rule(boundary, steps)
print(f"y = {y}")


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