What s New in MATLAB 2015 Joe Hicklin

Transcription

1 What s New in MATLAB 2015 Joe Hicklin 2015 The MathWorks, Inc. 1

2 Talks showing off new features What s New in Simulink in Releases 2015a and 2015b 11:15 11:45 Machine Learning for Predictive Modelling 14:30 15:15 Development and Testing of Robotic Applications Using MATLAB and Simulink 16:15 17:00 2

3 A quick look at some new features C/ C MATLAB Compiler SDK ++ Java.NET Python 3

4 New Axis Location: origin x = -10:0.01:10; plot(x, sinc(x)) 4

5 New Axis Location: origin x = -10:0.01:10; plot(x, sinc(x)) set (gca, 'xaxislocation', 'origin' ) 5

6 New Axis Location: origin x = -10:0.01:10; plot(x, sinc(x)) set( gca, 'xaxislocation', 'origin' ) set( gca, 'yaxislocation', 'origin' ) 6

7 Bivariate Histograms x = randn(100000, 1); histogram(x) Y X 7

8 Bivariate Histograms x = randn(100000, 1); y = x.* randn(100000, 1); histogram2(x,y) Y X 8

9 Array Size Limit Have you done this? % I need an array with a million elements 9

10 Array Size Limit Have you done this? % I need an array with a million elements V = rand( ); 10

11 Array Size Limit Have you done this? % I need an array with a million elements V = rand( ); What happens now? 11

12 Array Size Limit Have you done this? % I need an array with a million elements V = rand( ); What happens now? Error using rand Requested x (7450.6GB) array exceeds maximum array size preference. 12

13 Array Size Limit Error using rand Requested x (7450.6GB) array exceeds maximum array size preference. 13

14 Working with Grouped Data What is the average departure delay for each airline? 14

15 Working with Grouped Data [ groups, airline] = findgroups( T.UniqueCarrier ); 15

16 Working with Grouped Data meandelay = T.DepDelay, groups ); 16

17 Working with Grouped Data [groups, airline] = findgroups(t.uniquecarrier); meandelay = T.DepDelay, groups); table(airline, meandelay) 17

18 We support many types of hardware 18

19 And now there are two more We have added support for two popular new systems: Raspberry Pi MHz Quad core 1 GB ram 19

20 And now there are two more We have added support for two popular new systems: BeagleBone Black 1 GHz 512 MB ram 4GB flash rom 3D Graphics 20

21 Python Integration MATLAB integrates with several programming languages: C/C++ Java FORTRAN COM.NET Python 21

22 Call Python from MATLAB MATLAB Interface to Python C/C++ >> s = py.string.template(... 'Patient Name: $who') >> substitute(s,pyargs('who','smith')) Patient Name: Smith Fortran COM.NET Java Python 22

23 Call MATLAB from Python MATLAB Engine API >>> import matlab.engine >>> eng = matlab.engine.start_matlab() >>> eng.sqrt(9.0) 3.0 C/C++ Fortran.NET COM Python 23

24 Deploy MATLAB Components for Python MATLAB Compiler SDK Creates deployable MATLAB components for integration with applications written in Python MATLAB Compiler SDK C/C ++ Java.NET Python 24

25 Graphs in MATLAB A directed graph with four nodes and three edges. 25

26 Graphs in MATLAB A Graph object Create Manipulate Analyze A GraphPlot object View 26

27 Let s make a simple Graph sourcenodes = [ ]; targetnodes = [ ]; G = graph( sourcenodes, targetnodes ) G = graph with properties: Edges: [12x1 table] Nodes: [8x0 table] 27

28 Plot a Graph P = plot(g); sourcenodes = [ ]; targetnodes = [ ]; 28

29 Plot a Graph layout( P,'circle' ) 29

30 Are these drawings of the same graph? 30

31 Plot a Graph layout(p, 'layered' ) 31

32 Plot a Graph layout( P, 'force' ); 32

33 Graphs in MATLAB load('minnesotaroads'); plot(g); 33

34 Graphs in MATLAB G.Nodes( 1:7,: ) ans = Longitude Latitude

35 Graphs in MATLAB P = plot(g, 'XData', G.Nodes.Longitude, 'YData', G.Nodes.Latitude); 35

36 36

37 Useful Graph Algorithms shortestpath shortestpathtree distances bfsearch dfsearch maxflow conncomp minspantree toposort isdag transclosure transreduction Shortest path between two single nodes Shortest path tree from node Shortest path distances of all node pairs Breadth-first graph search Depth-first graph search Maximum flow in graph Connected graph components Minimum spanning tree of graph Topological order of directed acyclic graph Determine if graph is acyclic Transitive closure Transitive reduction 37

38 Graphs in MATLAB P.labelnode(cityIDs, citynames); 38

39 Graphs in MATLAB P.labelnode(cityIDs, citynames); 39

40 Graphs in MATLAB T = shortestpath(g,minneapolis,moorhead); P.highlight(T,'EdgeColor','r); 40

41 Graphs in MATLAB T = shortestpath(g,minneapolis,moorhead); P.highlight(T,'EdgeColor','r'); 41

42 Graphs in MATLAB P.NodeCData = distances(g, Minneapolis); title('distance from Minneapolis (miles)'); colorbar 42

43 Graphs in MATLAB P.NodeCData = distances(g, Minneapolis); title('distance from Minneapolis (miles)'); colorbar 43

44 Minnesota gets a lot of snow. You plow the snow Your equipment is in Minneapolis You don t have to plow every road Drivers must be able to get from every town to every other town What is the least you must plow? tree = minspantree(g,'root',minneapolis); highlight(p,tree, 'LineWidth', 3); 44

45 Minnesota gets a lot of snow. You plow the snow Your equipment is in Minneapolis You don t have to plow every road Drivers must be able to get from every town to every other town What is the least you must plow? tree = minspantree(g,'root',minneapolis); highlight(p,tree, 'LineWidth', 3); 45

46 Add-On Explorer The File Exchange on MATLAB Central About 20,000 submissions An underused resource Awareness Complexity 47

47 Add-On Explorer 48

48 Add-On Explorer 49

49 Add-On Explorer 50

50 Add-On Explorer 51

51 Add-On Explorer 52

52 Add-On Explorer 53

53 Add-On Explorer 54

54 Add-On Manager demodrawtubularmesh 55

55 Add-On Explorer 56

56 Add-On Manager demodrawtubularmesh 57

57 Add-On Manager 58

58 Add-On Manager 59

59 Add-On Explorer I searched for Vibration 133 results Spectral 512 results Machine Learning 125 results 60

60 Add-On Explorer Vibration Spectral Machine Learning Support Vector Classify Detect Control Control Phase Love Beauty Truth Beer Monkey Yogurt Don t start doing this when you have a deadline! 61

61 MATLAB Execution Engine MATLAB Language R2015b LXE Math Graphics R2014b 62

62 MATLAB Execution Engine Old system had two different execution mechanisms a JIT and an Interpreter. New system has a single execution mechanism. Old JIT was designed for FORTRAN-like constructs within MATLAB. New JIT is designed for the entire MATLAB language. Old system had a monolithic architecture that was difficult to extend. New system has a Modular, Thread-safe, and Platform re-targetable architecture. 63

63 MATLAB Execution Engine Performance Improvement Highlights Econometrics Toolbox: American Basket Demo executes 60% faster Image processing with active contours executes 32% faster SVM classification for Machine Learning executes 12% faster Examples used in Speeding up MATLAB webinar execute 30% faster k-nn classification for Machine Learning executes 37% faster Machine Learning classification executes 25% faster Image Processing executes 15% faster Performance in Object-Oriented MATLAB Code on File Exchange executes 10-40% faster Wireless Application demo executes 50% faster 64

64 # of Tests Application Level Benchmarks Jan Tests slower with LXE (0%) ~ Same (43%) 29 99% on par or faster with LXE 64% more than 10% faster 37% more than 25% faster Tests faster with the LXE (57%) Performance Ratio 65

65 # of Tests Core and Toolbox UPS tests Jan ~ Same (35%) 90% on par or faster with LXE 55% more than 10% faster 39% more than 25% faster Tests slower with the LXE Tests faster with the LXE (10%) 299 (55%) Performance Ratio Lower-level tests show more variability 66

66 MATLAB Execution Engine Summary R2015b runs MATLAB programs faster than previous releases. We will to continue to increase performance. We will add new features more easily and more quickly. 67

67 What s New in MATLAB 2015 C/ C MATLAB Compiler SDK ++ Java.NET Python 68