 Chapter 0: Prologue
 Chapter 1: Algorithms with numbers
 Chapter 10: Quantum algorithms
 Chapter 2: Divideandconquer algorithms
 Chapter 3: Decompositions of graphs
 Chapter 4: Paths in graphs
 Chapter 5: Greedy algorithms
 Chapter 6: Dynamic programming
 Chapter 7: Linear programming and reductions
 Chapter 8: NPcomplete problems
 Chapter 9: Coping with NPcompleteness
Algorithms 1st Edition  Solutions by Chapter
Full solutions for Algorithms  1st Edition
ISBN: 9780073523408
Algorithms  1st Edition  Solutions by Chapter
Get Full SolutionsSince problems from 11 chapters in Algorithms have been answered, more than 2125 students have viewed full stepbystep answer. This expansive textbook survival guide covers the following chapters: 11. The full stepbystep solution to problem in Algorithms were answered by Patricia, our top Statistics solution expert on 03/08/18, 07:35PM. Algorithms was written by Patricia and is associated to the ISBN: 9780073523408. This textbook survival guide was created for the textbook: Algorithms , edition: 1.

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Block
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Center line
A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Control limits
See Control chart.

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Density function
Another name for a probability density function

Dependent variable
The response variable in regression or a designed experiment.

Dispersion
The amount of variability exhibited by data

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

Event
A subset of a sample space.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function
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