NumCpp
2.1.0
A C++ implementation of the Python Numpy library
trapazoidal.hpp
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#pragma once
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#include "
NumCpp/Core/Types.hpp
"
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#include <functional>
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namespace
nc
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{
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namespace
integrate
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{
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//============================================================================
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// Method Description:
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inline
double
trapazoidal
(
const
double
low,
const
double
high,
const
uint32
n,
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const
std::function<
double
(
double
)>&
f
) noexcept
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{
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const
double
width = (high - low) /
static_cast<
double
>
(n);
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double
trapezoidal_integral = 0.0;
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for
(
uint32
step = 0; step < n; ++step)
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{
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const
double
x1 = low +
static_cast<
double
>
(step) * width;
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const
double
x2 = low +
static_cast<
double
>
(step + 1) * width;
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trapezoidal_integral += 0.5 * (x2 - x1) * (
f
(x1) +
f
(x2));
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}
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return
trapezoidal_integral;
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}
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}
// namespace integrate
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}
// namespace nc
nc::uint32
std::uint32_t uint32
Definition:
Types.hpp:41
nc
Definition:
Coordinate.hpp:45
nc::integrate::trapazoidal
double trapazoidal(const double low, const double high, const uint32 n, const std::function< double(double)> &f) noexcept
Definition:
trapazoidal.hpp:54
Types.hpp
nc::random::f
dtype f(dtype inDofN, dtype inDofD)
Definition:
f.hpp:58
include
NumCpp
Integrate
trapazoidal.hpp
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