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floatn step(floatn a, floatn b) floatn clamp(floatn x, floatn min, floatn max) floatn mix(floatn a, floatn b, floatn t) floatn smoothStep(floatn edge0, floatn edge1, floatn x) float length(floatn x) float distance(floatn x, floatn y) float dot(floatn x, floatn y) float3 cross(float3 x, float3 y) floatn normalize(floatn x) floatnxn matrixCompMult (floatnxn x, floatnxn y) booln lessThan(intn/floatn x, intn/floatn y) booln lessThanEqual(intn/floatn x, intn/floatn y) booln greaterThan(intn/floatn x, intn/floatn y) booln greaterThanEqual (intn/floatn x, intn/floatn y) booln equal(intn/floatn/booln x, intn/floatn/booln y) booln notEqual(intn/floatn/booln x, intn/floatn/booln y) bool any(booln x) bool all(booln x) booln not(booln x) pixeln sample(imagen img, float2 p)

The graphical displays that we have considered thus far such as histograms, stem-and-leaf plots, and box plots are very useful visual methods for showing the variability in data. However, we noted in Section 1-2.2 that time is an important factor that contributes to variability in data, and those graphical methods do not take this into account. A time series or time sequence is a data set in which the observations are recorded in the order in which they occur. A time series plot is a graph in which the vertical axis denotes the observed value of the variable (say x) and the horizontal axis denotes the time (which could be minutes, days, years, etc.) When measurements are plotted as a time series, we often see trends, cycles, or other broad features of the data that could not be seen otherwise.

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Returns 0.0 if the rst argument is greater, 1.0 if the second argument is greater or they are equal Clamps a value x to the range [min, max] inclusive Linear interpolation between a and b, with t in the range 0.0 (returns a) to 1.0 (returns b) Hermite interpolation for x between edge0 and edge1, clamped to the range [edge0, edge1] Length/magnitude of vector x Distance between vectors x and y Dot product of vectors x and y Cross product of vectors x and y Normalizes x so that its magnitude is 1.0 Per-element multiplication of matrices x and y where * would perform matrix multiplication Compares elements of vector with < Compares elements of vector with <= Compares elements of vector with > Compares elements of vector with >= Compares elements of vector with == Compares elements of vector with != Returns true if any element of x is true Returns true if all elements of x are true Negates all elements of vector Returns pixel color of image img at location p, using bilinear interpolation between pixels

EXERCISES FOR SECTION 2-1.4

S2-1 An order for a personal digital assistant can specify any one of ve memory sizes, any one of three types of displays, any one of four sizes of a hard disk, and can either include or not include a pen tablet How many different systems can be ordered S2-2 In a manufacturing operation, a part is produced by machining, polishing, and painting If there are three machine tools, four polishing tools, and three painting tools, how many different routings (consisting of machining, followed by polishing, and followed by painting) for a part are possible S2-3 New designs for a wastewater treatment tank have proposed three possible shapes, four possible sizes, three locations for input valves, and four locations for output valves How many different product designs are possible S2-4 A manufacturing process consists of 10 operations that can be completed in any order.

pixeln sampleLinear(imagen img, float2 p) pixeln sampleNearest(imagen img, float2 p) float2 outCoord() float2 pixelSize(imagen/pixeln)

How many different production sequences are possible S2-5 A manufacturing operations consists of 10 operations However, five machining operations must be completed before any of the remaining ve assembly operations can begin Within each set of ve, operations can be completed in any order How many different production sequences are possible S2-6 In a sheet metal operation, three notches and four bends are required If the operations can be done in any order, how many different ways of completing the manufacturing are possible S2-7 A lot of 140 semiconductor chips is inspected by choosing a sample of ve chips Assume 10 of the chips do not conform to customer requirements (a) How many different samples are possible (b) How many samples of ve contain exactly one nonconforming chip (c) How many samples of ve contain at least one nonconforming chip S2-8.

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