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Yang Hu - Graphic Go Algorithms: Graphically learn data structures and algorithms better than before

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Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your algorithms. Youll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. this book illustrates how graph algorithms deliver data structure and algorithmsThis practical book walks you through hands-on examples of how to use graph algorithms in Go.Learn how graph analytics vary from conventional algorithms analysisUnderstand how classic graph algorithms work, and how they are appliedExplore algorithm examples with working code and sample dada.The complexity of life, because they do not understand to simplify the complex, simple is the beginning of wisdom. From the essence of practice,this book to briefly explain the concept and vividly cultivate programming interest, you will learn it easy, fast and well.

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Graphic Go Algorithms
YANG HU The complexity of life because they do not understand to simplify the - photo 1
YANG HU
The complexity of life, because they do not understand to simplify the complex, simple is the beginning of wisdom. From the essence of practice,this book to briefly explain the concept and vividly cultivate programming interest, you will learn it easy and fast.
http://en.verejava.com
Copyright 2020 Yang Hu
All rights reserved.
ISBN : 9798655038363
CONTENTS
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14.1
14.2
14.3
14.4
15.1
15.2
15.3
15.4
16.1
16.2
16.3
17.1
17.2
17.3
23.1
23.2
23.3
23.4
23.5
23.6
26.1
26.2
26.3
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.
Linear Table Definition
Linear Table:
Sequence of elements, is a one-dimensional array.
. Define a one-dimensional array of student scores
TestOneArraygo package main import fmt func main var scores - photo 2
TestOneArray.go
package main
import "fmt"
func main() {
var scores = [] int { , , , , , }
var length = len (scores)
for i := ; i < length; i++ {
fmt.Printf( "%d," , scores[i])
}
}
Result:
90,70,50,80,60,85,
Maximum Value
Maximum of Integer Sequences:
Algorithmic ideas Compare arraysi with arraysi 1 if arraysi gt - photo 3
. Algorithmic ideas
Compare arrays[i] with arrays[i + 1] , if arrays[i] > arrays[i + 1] are exchanged. So continue until the last number, arrays[length - 1] is the maximum.
TestMaxValuego package main import fmt func maxarrays int - photo 4
TestMaxValue.go
package main
import "fmt"
func max(arrays [] int , length int ) int {
for i := ; i < length- ; i++ {
if arrays[i] > arrays[i+ ] { // swap
var temp = arrays[i]
arrays[i] = arrays[i+ ]
arrays[i+ ] = temp
}
}
var maxValue = arrays[length- ]
return maxValue
}
func main() {
var scores = [] int { , , , , }
var length = len (scores)
var maxValue = max(scores, length)
fmt.Printf( "Max Value = %d\n" , maxValue)
}
Result:
Max Value = 95
Bubble Sorting Algorithm
Bubble Sorting Algorithm:
Compare arrays[j] with arrays[j + 1] , if arrays[j] > arrays[j + 1] are exchanged.
Remaining elements repeat this process, until sorting is completed.
Sort the following numbers from small to large
Graphic Go Algorithms Graphically learn data structures and algorithms better than before - image 5
Explanation:
Graphic Go Algorithms Graphically learn data structures and algorithms better than before - image 6 No sorting,
Comparing Already sorted First sorting Second sorting - photo 7 Comparing,
Already sorted First sorting Second sorting Third sorting - photo 8 Already sorted
. First sorting:
Second sorting Third sorting No swap so terminate sorting we - photo 9
. Second sorting:
Third sorting No swap so terminate sorting we can get the sorting - photo 10
. Third sorting:
No swap so terminate sorting we can get the sorting numbers from small to - photo 11
No swap so terminate sorting : we can get the sorting numbers from small to large
TestBubbleSortgo package main import fmt func main index - photo 12
TestBubbleSort.go
package main
import "fmt"
func main() {
// index starts from
var scores = [] int { , , , , , }
var length = len (scores)
sort(scores, length)
for i := ; i < length; i++ {
fmt.Printf( "%d," , scores[i])
}
}
func sort(arrays [] int , length int ) {
for i := ; i < length- ; i++ {
for j := ; j < length-i- ; j++ {
if arrays[j] > arrays[j+ ] { //swap
var flag = arrays[j]
arrays[j] = arrays[j+ ]
arrays[j+ ] = flag
}
}
}
}
Result:
50,60,70,80,85,90,
Minimum Value
Search the Minimum of Integer Sequences:
Algorithmic ideas Initial value minIndex0 j1 Compare arraysminIndex - photo 13
. Algorithmic ideas
Initial value minIndex=0, j=1 Compare arrays[minIndex] with arrays[j]
if arrays[minIndex] > arrays[j] then minIndex=j, j++ else j++. continue until the last number, arrays[minIndex] is the Min Value.
TestMinValuego package main import fmt func minarrays int - photo 14
TestMinValue.go
package main
import "fmt"
func min(arrays [] int , length int ) int {
var minIndex = // the index of the minimum
for j := ; j < length; j++ {
if arrays[minIndex] > arrays[j] {
minIndex = j
}
}
return arrays[minIndex]
}
func main() {
var scores = [] int { , , , , }
var length = len (scores)
var minValue = min(scores, length)
fmt.Printf( "Min Value = %d\n" , minValue)
}
Result:
Min Value = 50
Select Sorting Algorithm
Select Sorting Algorithm:
Sorts an array by repeatedly finding the minimum element from unsorted part and putting it at the beginning.
Sort the following numbers from small to large
Explanation No sorting Comparing Already sorted First sorting - photo 15
Explanation:
No sorting Comparing Already sorted First sorting Second - photo 16 No sorting,
Comparing Already sorted First sorting Second sorting - photo 17 Comparing,
Already sorted First sorting Second sorting Third sorting - photo 18 Already sorted.
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