*Last updated: 2023-03-16.*

# Module: tf_quant_finance.math

View source TensorFlow Quantitative Finance general math functions. ## Modules [`custom_loops`](../tf_quant_finance/math/custom_loops.md) module: Custom implementations of loops for improved performance. [`integration`](../tf_quant_finance/math/integration.md) module: Numerical integration methods. [`interpolation`](../tf_quant_finance/math/interpolation.md) module: Ops related to interpolation. [`optimizer`](../tf_quant_finance/math/optimizer.md) module: Optimization methods. [`pad`](../tf_quant_finance/math/pad.md) module: Helper functions for padding multiple tensors. [`pde`](../tf_quant_finance/math/pde.md) module: PDE solver methods. [`piecewise`](../tf_quant_finance/math/piecewise.md) module: Piecewise utility functions. [`qmc`](../tf_quant_finance/math/qmc.md) module: RQMC support. [`random`](../tf_quant_finance/math/random.md) module: Ops related to random or quasi random sampling. [`root_search`](../tf_quant_finance/math/root_search.md) module: Ops related to root search. [`segment_ops`](../tf_quant_finance/math/segment_ops.md) module: Element wise ops acting on segments of arrays. ## Functions [`diff(...)`](../tf_quant_finance/math/diff.md): Computes the difference between elements of an array at a regular interval. [`fwd_gradient(...)`](../tf_quant_finance/math/fwd_gradient.md): Computes forward mode gradient. [`gradients(...)`](../tf_quant_finance/math/gradients.md): Computes the gradients of `func_or_y` wrt to `*xs`. [`jacobian(...)`](../tf_quant_finance/math/jacobian.md): Computes the jacobian of `func` wrt to `x`. [`make_val_and_grad_fn(...)`](../tf_quant_finance/math/make_val_and_grad_fn.md): Function decorator to compute both function value and gradient. [`value_and_gradient(...)`](../tf_quant_finance/math/value_and_gradient.md): Computes `f(*xs)` and its gradients wrt to `*xs`. [`value_and_jacobian(...)`](../tf_quant_finance/math/value_and_jacobian.md): Computes `f(x)` and its jacobian wrt to `x`.