A primary interval for convergence of at least one power series in a transcendental function is interpolated; while selecting a number of interpolation points for a truncated expansion of power series by a selected order of truncation. A function and at least one derivative of the function of the truncated expansion of the selected order of truncation is evaluated at the interpolation points by computing a set of scaled values for convergence boundaries of the truncated expansion for a total number of values to be stored in the table; for each index value up to a value of the number of the interpolation points, evaluating the function and the derivative of the function of the truncated expansion converging in the set of scaled values to compute separate constant values for the primary function and each at least one derivative; and for each index value, adding each separate constant value to the table with a separate index value. Each separate value evaluated for the function and each derivative is saved in a table, wherein the table is looked up for efficiently computing a result of the truncated expansion of the at least one power series.

A primary interval for convergence of at least one power series in a transcendental function is interpolated, while selecting a number of one or more interpolation points for a truncated expansion of the at least one power series by a selected order of truncation. A function and at least one derivative of the function of the truncated expansion of the selected order of truncation is evaluated at the one or more interpolation points. Each separate value evaluated for the function and each of the at least one derivative is saved in a table, wherein the table is looked up for efficiently computing a result of the truncated expansion of the at least one power series.

A primary interval for convergence of at least one power series in a transcendental function is interpolated, while selecting a number of one or more interpolation points for a truncated expansion of the at least one power series by a selected order of truncation. A function and at least one derivative of the function of the truncated expansion of the selected order of truncation is evaluated at the one or more interpolation points. Each separate value evaluated for the function and each of the at least one derivative is saved in a table, wherein the table is looked up for efficiently computing a result of the truncated expansion of the at least one power series.

A method of calculating data includes acquiring a difference between first data that is input and second data that was previously stored; determining a method of generating third data corresponding to a result of a calculation of the first data based on the difference; and performing a calculation corresponding to the determined method using a calculator.

A method of calculating data includes acquiring a difference between first data that is input and second data that was previously stored; determining a method of generating third data corresponding to a result of a calculation of the first data based on the difference; and performing a calculation corresponding to the determined method using a calculator.

A sine wave generating apparatus comprises: a phase accumulating module, configured to acquire configuration information of a sine wave, and generate address information comprising integer address information and decimal address information; a value searching module, configured to search for first data information and second data information of the sine wave according to the integer address information; an interpolation module, configured to conduct interpolation between the first data information and the second data information, and acquire interpolation original data information of the sine wave according to the decimal address information; a random truncating module, configured to conduct truncation processing on the interpolation original data according to the bit width of the decimal address information and a pseudorandom sequence output value to acquire final interpolation data information of the sine wave; and a sine wave generating module, configured to generate image information of the sine wave according to the final interpolation data information of the sine wave.

Control circuitry coupled to a multiply unit which includes a plurality of stage, each of which may be configured to perform a corresponding arithmetic function, may be configured to retrieve a given entry from a lookup table dependent upon a first portion of a binary representation of an input operand. An error value of an error function evaluated dependent upon a lookup value in a given entry of the plurality of entries is included in a predetermined error range. The control circuitry may be further configured to determine an initial approximation of a result of an iterative arithmetic operation using the first entry and initiate the iterative arithmetic operation using the initial approximation and the input operand.

A datapath circuit may include a digital multiply and accumulate circuit (MAC) and a digital hardware calculator for parallel computation. The digital hardware calculator and the MAC may be coupled to an input memory element for receipt of input operands. The MAC may include a digital multiplier structure with partial product generators coupled to an adder to multiply a first and second input operands and generate a multiplication result. The digital hardware calculator may include a first look-up table coupled between a calculator input and a calculator output register. The first look-up table may include table entry values mapped to corresponding math function results in accordance with a first predetermined mathematical function. The digital hardware calculator may be configured to calculate, based on the first look-up table, a computationally hard mathematical function such as a logarithm function, an exponential function, a division function and a square root function.

Mathematical functions are computed in a single pipeline performing a polynomial approximation (e.g. a quadratic approximation, or the like) using data tables for RCP, SQRT, EXP or LOG using a single pipeline according and opcodes. SIN and COS are also computed using the pipeline according to the approximation ((1)^IntX)*Sin(*Min(FracX, 1.0FracX)/Min(FracX, 1.0FracX). A pipeline portion approximates Sin(*FracX) using tables and interpolation and a subsequent stage multiplies this approximation by FracX. For input arguments of x close 1.0. LOG 2(x1)/(x1) is computed using a first pipeline portion using tables and interpolation and subsequently multiplied by (x1). A DIV operation may also be performed with input arguments scaled up to avoid underflow as needed. Inverse trigonometric functions may be calculated using a pre-processing stage and post processing stage in order to obtain multiple inverse trigonometric functions from a single pipeline.

A semiconductor chip is described having a functional unit that can execute a first instruction and execute a second instruction. The first instruction is an instruction that multiplies two operands. The second instruction is an instruction that approximates a function according to C0+C1X2+C2X2.sup.2. The functional unit has a multiplier circuit. The multiplier circuit has: i) a first input to receive bits of a first operand of the first instruction and receive bits of a C1 term of the second instruction; ii) a second input to receive bits of a second operand of the first instruction and receive bits of a X2 term of the second instruction.