Exponential functions

template<class B>
batch_type_t<B> xsimd::exp(const simd_base<B> &x)

Computes the natural exponential of the batch x.

Return

the natural exponential of x.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::exp2(const simd_base<B> &x)

Computes the base 2 exponential of the batch x.

Return

the base 2 exponential of x.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::exp10(const simd_base<B> &x)

Computes the base 10 exponential of the batch x.

Return

the base 10 exponential of x.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::expm1(const simd_base<B> &x)

Computes the natural exponential of the batch x, minus one.

Return

the natural exponential of x, minus one.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::log(const simd_base<B> &x)

Computes the natural logarithm of the batch x.

Return

the natural logarithm of x.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::log2(const simd_base<B> &x)

Computes the base 2 logarithm of the batch x.

Return

the base 2 logarithm of x.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::log10(const simd_base<B> &x)

Computes the base 10 logarithm of the batch x.

Return

the base 10 logarithm of x.

Parameters

• x: batch of floating point values.

template<class B>
batch_type_t<B> xsimd::log1p(const simd_base<B> &x)

Computes the natural logarithm of one plus the batch x.

Return

the natural logarithm of one plus x.

Parameters

• x: batch of floating point values.