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Subject [4/4] lucene-solr:master: SOLR-11947: Change math-expressions.adoc to remove level 2 section headings; use headline case for dsp.adoc section titles
Date Fri, 10 Aug 2018 17:32:54 GMT
SOLR-11947: Change math-expressions.adoc to remove level 2 section headings; use headline case
for dsp.adoc section titles


Branch: refs/heads/master
Commit: d1c73ff6f6e348e1d0d9196b29d527b7e659d668
Parents: 9c02bf0
Author: Cassandra Targett <>
Authored: Thu Aug 9 13:16:05 2018 -0500
Committer: Cassandra Targett <>
Committed: Fri Aug 10 08:54:43 2018 -0500

 solr/solr-ref-guide/src/dsp.adoc              |  8 +++---
 solr/solr-ref-guide/src/math-expressions.adoc | 30 +++++++++++-----------
 2 files changed, 18 insertions(+), 20 deletions(-)
diff --git a/solr/solr-ref-guide/src/dsp.adoc b/solr/solr-ref-guide/src/dsp.adoc
index 47ce430..386ae33 100644
--- a/solr/solr-ref-guide/src/dsp.adoc
+++ b/solr/solr-ref-guide/src/dsp.adoc
@@ -19,13 +19,13 @@
 This section of the user guide explores functions that are commonly used in the field of
 Digital Signal Processing (DSP).
-== Dot product
+== Dot Product
 The `dotProduct` function is used to calculate the dot product of two arrays.
 The dot product is a fundamental calculation for the DSP functions discussed in this section.
Before diving into
 the more advanced DSP functions, its useful to get a better understanding of how the dot
product calculation works.
-=== Combining two arrays
+=== Combining Two Arrays
 The `dotProduct` function can be used to combine two arrays into a single product. A simple
example can help
 illustrate this concept.
@@ -280,7 +280,7 @@ the second vector and sliding it across the first vector. The *dot product*
of t
 is calculated at each point as the second vector is slid across the first vector.
 The dot products are collected in a *third vector* which is the *convolution* of the two
-=== Moving Average function
+=== Moving Average Function
 Before looking at an example of convolution its useful to review the `movingAvg` function.
The moving average
 function computes a moving average by sliding a window across a vector and computing
@@ -715,5 +715,3 @@ let(a=sin(sequence(256, 0, 6)),
diff --git a/solr/solr-ref-guide/src/math-expressions.adoc b/solr/solr-ref-guide/src/math-expressions.adoc
index d2b969b..b42a0c2 100644
--- a/solr/solr-ref-guide/src/math-expressions.adoc
+++ b/solr/solr-ref-guide/src/math-expressions.adoc
@@ -30,32 +30,32 @@ and data structures and techniques for combining Solr's
 powerful streams with mathematical functions to make every
 record in your Solr Cloud cluster computable.
-== <<scalar-math.adoc#scalar-math,Scalar Math>>
+*<<scalar-math.adoc#scalar-math,Scalar Math>>*: The simplest math expressions.
-== <<vector-math.adoc#vector-math,Vector Math>>
+*<<vector-math.adoc#vector-math,Vector Math>>*: Vector math expressions and vector
-== <<variables.adoc#variables,Variables>>
+*<<variables.adoc#variables,Variables>>*: Using variable expressions.
-== <<matrix-math.adoc#matrix-math,Matrix Math>>
+*<<matrix-math.adoc#matrix-math,Matrix Math>>*: Matrix creation, manipulation,
and matrix math.
-== <<vectorization.adoc#vectorization,Streams and Vectorization>>
+*<<vectorization.adoc#vectorization,Streams and Vectorization>>*: Retrieving
streams and vectorizing numeric fields.
-== <<term-vectors.adoc#term-vectors,Text Analysis and Term Vectors>>
+*<<term-vectors.adoc#term-vectors,Text Analysis and Term Vectors>>*: Using math
expressions for text analysis and TF-IDF term vectors.
-== <<statistics.adoc#statistics,Statistics>>
+*<<statistics.adoc#statistics,Statistics>>*: Statistical functions in math expressions.
-== <<probability-distributions.adoc#probability-distributions,Probability>>
+*<<probability-distributions.adoc#probability-distributions,Probability>>*: A
probability distribution framework.
-== <<simulations.adoc#simulations,Monte Carlo Simulations>>
+*<<simulations.adoc#simulations,Monte Carlo Simulations>>*: Performing correlated
and uncorrelated Monte Carlo simulations.
-== <<time-series.adoc#time-series,Time Series>>
+*<<time-series.adoc#time-series,Time Series>>*: Aggregation, smoothing, and differencing
of time series.
-== <<regression.adoc#regression,Linear Regression>>
+*<<regression.adoc#regression,Linear Regression>>*: Simple and multivariate linear
-== <<numerical-analysis.adoc#numerical-analysis,Interpolation, Derivatives and Integrals>>
+*<<numerical-analysis.adoc#numerical-analysis,Interpolation, Derivatives and Integrals>>*:
Numerical analysis math expressions.
-== <<curve-fitting.adoc#curve-fitting,Curve Fitting>>
+*<<curve-fitting.adoc#curve-fitting,Curve Fitting>>*: Polynomial curve fitting.
-== <<dsp.adoc#dsp,Digital Signal Processing>>
+*<<dsp.adoc#dsp,Digital Signal Processing>>*: Functions commonly used with digital
signal processing.
-== <<machine-learning.adoc#machine-learning,Machine Learning>>
+*<<machine-learning.adoc#machine-learning,Machine Learning>>*: Functions used
in machine learning.

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