Category: News
Immediate 3.1 Lidex Yorumlar-{2024’E ÖZEL TEKLİF}-Tüm Gerçekleri Okuyunm Immediate 3.1 Lidex Sikayet
güvenilir ve hızlı kripto para işlemleri yapabileceğiniz bir platformdur. Kripto para dünyasında ani fiyat hareketlerine hızlı bir şekilde tepki verebilme ve işlemlerinizi kolaylıkla gerçekleştirme ihtiyacınızı karşılamak için tasarlanmıştı
Bir Profesyonel Gibi Ticaret Yapın! 3.1 Lidex Ticaret Platformunda Ustalaşmak için 5 Temel İpucu”
güvenilir ve hızlı kripto para işlemleri yapabileceğiniz bir platformdur. Kripto para dünyasında ani fiyat hareketlerine hızlı bir şekilde tepki verebilme ve işlemlerinizi kolaylıkla gerçekleştirme ihtiyacınızı karşılamak için tasarlanmıştı Bir Profesyonel Gibi Ticaret Yapın! 3.1 Lidex Ticaret Platformunda Ustalaşmak için 5 Temel İpucu” Read More
ToDo Quit working
I am having trouble with my ToDo application. It is no longer showing my lists. It just keeps saying “we are getting your tasks lists ready” I have tried on my chrome browser on my macbook pro laptop, i have tried on my iphone with the ToDo app and I have also tried on my iphone with the edge browser. None of these are working.
I am having trouble with my ToDo application. It is no longer showing my lists. It just keeps saying “we are getting your tasks lists ready” I have tried on my chrome browser on my macbook pro laptop, i have tried on my iphone with the ToDo app and I have also tried on my iphone with the edge browser. None of these are working. Read More
Needing Assistance with an Excel Formula
Hi there, can someone please help me with an excel formula?
If column E rows 7 to 24 have the word plumbing (which come from a drop down box) I want it to subtract column D rows 7 to 24 from column G rows 7 to 24.
Hi there, can someone please help me with an excel formula? If column E rows 7 to 24 have the word plumbing (which come from a drop down box) I want it to subtract column D rows 7 to 24 from column G rows 7 to 24. Read More
Non linear fitting with 3 independent variables
I have a dataset consisting of one dependent variable (K) and 3 independent variables (a, IL, Vf). I am trying to fit a function which could represent dependent variable with fair amount of accuracy.
I have attached the Data.mat file consisting of the dataset.
The form I am trying to fit is –
K = (A – B*IL – C*a)*(D*exp(-E*Vf))
LaTeX form:
initial guess could be – , , , ,
I want the optimised coefficients for the best fitting. How to do this in curve fitting app I was able to do 2 independent variables. I am not aware of how to do this.
Also if not this function how to find some other simple function/functional forms that could represent this data. In academic research lot of people find correlation like this.
load(‘Data.mat’);
PS – Please don’t suggest a polynomial type fit consisting of linear, square and interaction terms. As the aim is to have minimum coefficients ie simpler equation.I have a dataset consisting of one dependent variable (K) and 3 independent variables (a, IL, Vf). I am trying to fit a function which could represent dependent variable with fair amount of accuracy.
I have attached the Data.mat file consisting of the dataset.
The form I am trying to fit is –
K = (A – B*IL – C*a)*(D*exp(-E*Vf))
LaTeX form:
initial guess could be – , , , ,
I want the optimised coefficients for the best fitting. How to do this in curve fitting app I was able to do 2 independent variables. I am not aware of how to do this.
Also if not this function how to find some other simple function/functional forms that could represent this data. In academic research lot of people find correlation like this.
load(‘Data.mat’);
PS – Please don’t suggest a polynomial type fit consisting of linear, square and interaction terms. As the aim is to have minimum coefficients ie simpler equation. I have a dataset consisting of one dependent variable (K) and 3 independent variables (a, IL, Vf). I am trying to fit a function which could represent dependent variable with fair amount of accuracy.
I have attached the Data.mat file consisting of the dataset.
The form I am trying to fit is –
K = (A – B*IL – C*a)*(D*exp(-E*Vf))
LaTeX form:
initial guess could be – , , , ,
I want the optimised coefficients for the best fitting. How to do this in curve fitting app I was able to do 2 independent variables. I am not aware of how to do this.
Also if not this function how to find some other simple function/functional forms that could represent this data. In academic research lot of people find correlation like this.
load(‘Data.mat’);
PS – Please don’t suggest a polynomial type fit consisting of linear, square and interaction terms. As the aim is to have minimum coefficients ie simpler equation. curve fitting, nonlinear, correlation MATLAB Answers — New Questions
CP210x USB to UART Bridge VCP Drivers (code 10 in windows device manger)
Greetings
I’m trying to establish communication between Digilent FPGA board with Xilinx Zynq platform and matlab for my university project. As per matlab instruction, it is required to assign USB UART connection such as Silicon Labs CP210x USB to UART Bridge or Cypress Serial. However, I’m geting code 10 in windows (8.1, 10, 11) device manager. I tried different solutions suggested in the internet but they didn’t work.
I appreciate your support to share with me what kind of computer specificaiton and windows version have been tested to have successful installation of Silicon Labs CP210x USB to UART Bridge or Cypress Serial. I have tried different computers and virtual machine but no result to install the drivers without errorsGreetings
I’m trying to establish communication between Digilent FPGA board with Xilinx Zynq platform and matlab for my university project. As per matlab instruction, it is required to assign USB UART connection such as Silicon Labs CP210x USB to UART Bridge or Cypress Serial. However, I’m geting code 10 in windows (8.1, 10, 11) device manager. I tried different solutions suggested in the internet but they didn’t work.
I appreciate your support to share with me what kind of computer specificaiton and windows version have been tested to have successful installation of Silicon Labs CP210x USB to UART Bridge or Cypress Serial. I have tried different computers and virtual machine but no result to install the drivers without errors Greetings
I’m trying to establish communication between Digilent FPGA board with Xilinx Zynq platform and matlab for my university project. As per matlab instruction, it is required to assign USB UART connection such as Silicon Labs CP210x USB to UART Bridge or Cypress Serial. However, I’m geting code 10 in windows (8.1, 10, 11) device manager. I tried different solutions suggested in the internet but they didn’t work.
I appreciate your support to share with me what kind of computer specificaiton and windows version have been tested to have successful installation of Silicon Labs CP210x USB to UART Bridge or Cypress Serial. I have tried different computers and virtual machine but no result to install the drivers without errors fpga board, xilinx zynq platform, silicon labs cp210x usb to uart bridge MATLAB Answers — New Questions
Exchange Online (Plan 1) – Group Emails – Your request can’t be completed right now
Hi,
Having this problem with one group on a client tenancy and only seems to happen to one user.
Any help would be greatly appreciated.
Thanks,
Hi,Having this problem with one group on a client tenancy and only seems to happen to one user.Any help would be greatly appreciated. Thanks, Read More
Setting up a resource with mandatory information
Does anyone know if it is possible to set up a resource within outlook that can be booked (like a conference room), but either requires specific information to be added before it can be submitted (or gets automatically declined if not completed), or has a template in the meeting invite?
For example, we have certain rooms you are only allowed to book for certain reasons and specific information is requested for the room owner to determine whether the request should be accepted or rejected. Often users forget to complete this information as it’s not mandated or included in a template for the particular resource and it ends up being rejected and causes a lot of back-and-forth.
Thanks!
Does anyone know if it is possible to set up a resource within outlook that can be booked (like a conference room), but either requires specific information to be added before it can be submitted (or gets automatically declined if not completed), or has a template in the meeting invite? For example, we have certain rooms you are only allowed to book for certain reasons and specific information is requested for the room owner to determine whether the request should be accepted or rejected. Often users forget to complete this information as it’s not mandated or included in a template for the particular resource and it ends up being rejected and causes a lot of back-and-forth. Thanks! Read More
code of Plot an Ellipse
clear all
close all
clc
t = linspace(0, 2*pi, 200);
xt = r1 * cos(t) + xc;
yt = r2 * sin(t) + yc;
% aply rotation by angle theta
cot = cos(theta); sit = sin(theta);
x = xt * cot – yt * sit;
y = xt * sit – yt * cot;
% draw the curbe
plot(x, y, ‘-‘);clear all
close all
clc
t = linspace(0, 2*pi, 200);
xt = r1 * cos(t) + xc;
yt = r2 * sin(t) + yc;
% aply rotation by angle theta
cot = cos(theta); sit = sin(theta);
x = xt * cot – yt * sit;
y = xt * sit – yt * cot;
% draw the curbe
plot(x, y, ‘-‘); clear all
close all
clc
t = linspace(0, 2*pi, 200);
xt = r1 * cos(t) + xc;
yt = r2 * sin(t) + yc;
% aply rotation by angle theta
cot = cos(theta); sit = sin(theta);
x = xt * cot – yt * sit;
y = xt * sit – yt * cot;
% draw the curbe
plot(x, y, ‘-‘); ellipse MATLAB Answers — New Questions
code of Ploting circle
clear all
close all
clc
angle = linspace(0, 2*pi, 360);
x = cos(angle);
y=sin(angle);
plot(x,y)clear all
close all
clc
angle = linspace(0, 2*pi, 360);
x = cos(angle);
y=sin(angle);
plot(x,y) clear all
close all
clc
angle = linspace(0, 2*pi, 360);
x = cos(angle);
y=sin(angle);
plot(x,y) circle MATLAB Answers — New Questions
TCN model to predict continuous variable
Hello there I am trying to build a TCN machine learning model for regression purposes (to predict a continuous variable). Simialar to the example here: https://www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-1-d-convolutions.html#SeqToSeqClassificationUsing1DConvAndModelFunctionExample-11. I have time series data in which I am using 3 input features (accelrometer measuments in x,y,z directions), but instead of classifying an acitivity, I am trying to estimate/predict a continuous variable. My data is stored in a table with: Time, Accel_x, Accel_Y, Accel_Z, and Response Variable. How would I modify the code here:
numFilters = 64;
filterSize = 5;
droupoutFactor = 0.005;
numBlocks = 4;
net = dlnetwork;
layer = sequenceInputLayer(NumFeatures,Normalization="rescale-symmetric",Name="input");
net = addLayers(net,layer);
outputName = layer.Name;
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(droupoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(dropoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
net = addLayers(net,layers);
net = connectLayers(net,outputName,"conv1_"+i);
% Skip connection.
if i == 1
% Include convolution in first skip connection.
layer = convolution1dLayer(1,numFilters,Name="convSkip");
net = addLayers(net,layer);
net = connectLayers(net,outputName,"convSkip");
net = connectLayers(net,"convSkip","add_" + i + "/in2");
else
net = connectLayers(net,outputName,"add_" + i + "/in2");
end
% Update layer output name.
outputName = "add_" + i;
end
layers = [
fullyConnectedLayer(numClasses,Name="fc")
softmaxLayer];
net = addLayers(net,layers);
net = connectLayers(net,outputName,"fc");
options = trainingOptions("adam", …
MaxEpochs=60, …
miniBatchSize=1, …
InputDataFormats="CTB", …
Plots="training-progress", …
Metrics="accuracy", …
Verbose=0);
net = trainnet(DataTrain,DataTrain.ResonseVariable,net,"crossentropy",options);Hello there I am trying to build a TCN machine learning model for regression purposes (to predict a continuous variable). Simialar to the example here: https://www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-1-d-convolutions.html#SeqToSeqClassificationUsing1DConvAndModelFunctionExample-11. I have time series data in which I am using 3 input features (accelrometer measuments in x,y,z directions), but instead of classifying an acitivity, I am trying to estimate/predict a continuous variable. My data is stored in a table with: Time, Accel_x, Accel_Y, Accel_Z, and Response Variable. How would I modify the code here:
numFilters = 64;
filterSize = 5;
droupoutFactor = 0.005;
numBlocks = 4;
net = dlnetwork;
layer = sequenceInputLayer(NumFeatures,Normalization="rescale-symmetric",Name="input");
net = addLayers(net,layer);
outputName = layer.Name;
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(droupoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(dropoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
net = addLayers(net,layers);
net = connectLayers(net,outputName,"conv1_"+i);
% Skip connection.
if i == 1
% Include convolution in first skip connection.
layer = convolution1dLayer(1,numFilters,Name="convSkip");
net = addLayers(net,layer);
net = connectLayers(net,outputName,"convSkip");
net = connectLayers(net,"convSkip","add_" + i + "/in2");
else
net = connectLayers(net,outputName,"add_" + i + "/in2");
end
% Update layer output name.
outputName = "add_" + i;
end
layers = [
fullyConnectedLayer(numClasses,Name="fc")
softmaxLayer];
net = addLayers(net,layers);
net = connectLayers(net,outputName,"fc");
options = trainingOptions("adam", …
MaxEpochs=60, …
miniBatchSize=1, …
InputDataFormats="CTB", …
Plots="training-progress", …
Metrics="accuracy", …
Verbose=0);
net = trainnet(DataTrain,DataTrain.ResonseVariable,net,"crossentropy",options); Hello there I am trying to build a TCN machine learning model for regression purposes (to predict a continuous variable). Simialar to the example here: https://www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-1-d-convolutions.html#SeqToSeqClassificationUsing1DConvAndModelFunctionExample-11. I have time series data in which I am using 3 input features (accelrometer measuments in x,y,z directions), but instead of classifying an acitivity, I am trying to estimate/predict a continuous variable. My data is stored in a table with: Time, Accel_x, Accel_Y, Accel_Z, and Response Variable. How would I modify the code here:
numFilters = 64;
filterSize = 5;
droupoutFactor = 0.005;
numBlocks = 4;
net = dlnetwork;
layer = sequenceInputLayer(NumFeatures,Normalization="rescale-symmetric",Name="input");
net = addLayers(net,layer);
outputName = layer.Name;
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(droupoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(dropoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
net = addLayers(net,layers);
net = connectLayers(net,outputName,"conv1_"+i);
% Skip connection.
if i == 1
% Include convolution in first skip connection.
layer = convolution1dLayer(1,numFilters,Name="convSkip");
net = addLayers(net,layer);
net = connectLayers(net,outputName,"convSkip");
net = connectLayers(net,"convSkip","add_" + i + "/in2");
else
net = connectLayers(net,outputName,"add_" + i + "/in2");
end
% Update layer output name.
outputName = "add_" + i;
end
layers = [
fullyConnectedLayer(numClasses,Name="fc")
softmaxLayer];
net = addLayers(net,layers);
net = connectLayers(net,outputName,"fc");
options = trainingOptions("adam", …
MaxEpochs=60, …
miniBatchSize=1, …
InputDataFormats="CTB", …
Plots="training-progress", …
Metrics="accuracy", …
Verbose=0);
net = trainnet(DataTrain,DataTrain.ResonseVariable,net,"crossentropy",options); machine learning, neural networks, regression, model predictions MATLAB Answers — New Questions
Plot a line between two points
clear all
close all
clc
x1=2;y1=3;x2=8;y2=7;
plot([x1 x2],[y1 y2])
p = plot(1:100,’*’);
p.MarkerSize = 10;
axis([1 100 1 100])clear all
close all
clc
x1=2;y1=3;x2=8;y2=7;
plot([x1 x2],[y1 y2])
p = plot(1:100,’*’);
p.MarkerSize = 10;
axis([1 100 1 100]) clear all
close all
clc
x1=2;y1=3;x2=8;y2=7;
plot([x1 x2],[y1 y2])
p = plot(1:100,’*’);
p.MarkerSize = 10;
axis([1 100 1 100]) point MATLAB Answers — New Questions
Referenčný kód B I T G E T: qp29 (B I T G E T 1000 USDT registračný bonus)
Referenčný kód B I T G E T: qp29 (B I T G E T 1000 USDT registračný bonus) | Nový promo kód B I T G E T 2024
Hľadáte odporúčací kód B I T G E T? Posledný na rok 2024 je 29 qp. S týmto kódom získate zľavu 30%. Okrem toho môžu noví používatelia BIT G E T, ktorí sa zaregistrujú s propagačným kódom „qp29“, získať exkluzívnu propagačnú odmenu v hodnote až 1 000 USD.
Aký je referenčný kód B I T G E T?
Kód „qp29“ v programe BIT G E T funguje ako referenčný kód. Zadaním tohto kódu získate trvalé zníženie poplatkov za obchodovanie a tiež 30% zľavu na vaše obchody. Navyše, ak zdieľate svoj odporúčací kód so svojimi priateľmi, máte šancu vyhrať štedrý 50% bonus. Použitie tohto kódu poskytuje cennú príležitosť na zníženie poplatkov a potenciálne zvýšenie vašich zárobkov prilákaním ďalších na platformu.
Aký je najlepší odporúčací kód B I T G E T 2024?
Dôrazne odporúčaný zľavový kód B I T G E T je 29 qp. Ak pri registrácii použijete tento kód, získate štedrý bonus 100 $. Ak svoj kód zdieľate so svojimi priateľmi, máte možnosť získať obrovskú 50% províziu. To vám v podstate dáva možnosť získať maximálny registračný bonus až 1 000 $ ako uvítaciu odmenu. Je to skvelý spôsob, ako rozšíriť svoje obchodné skúsenosti o ďalšie výhody a zároveň povzbudiť ostatných, aby sa pripojili a získali vlastné odmeny.
Ako používať odporúčací kód B I T G E T
Referenčný kód B I T G E T je dostupný pre nových používateľov, ktorí sa ešte nezaregistrovali na burze. Bohužiaľ, ak už máte účet, nebudete môcť použiť odporúčací kód.
B I T G E T však ponúka niekoľko ďalších spôsobov, ako sa zapojiť do akcií a získať odmeny. Pozrime sa na tieto alternatívy.
Pre nováčikov B I T G E T sú tu podrobné pokyny, ako požiadať o odporúčací kód:
Ak chcete začať, navštívte stránku B I T G E T a kliknite na modré tlačidlo „Prihlásiť sa“.
Poskytnite presné údaje o používateľovi, pretože sa bude kontrolovať, či sú v súlade s postupmi KYC a AML.
Keď sa zobrazí výzva na zadanie odporúčacieho kódu, zadajte qp29.
Dokončite proces registrácie a dokončite všetky požadované overenia.
Po splnení všetkých podmienok môžete okamžite získať uvítací bonus.
Tento prístup zabezpečuje, že noví používatelia môžu jednoducho dokončiť registračný proces aj bez odporúčacieho kódu a po splnení stanovených požiadaviek dostanú uvítací bonus.
Aký je odporúčaný odporúčací kód pre B I T G E T?
Referenčný kód B I T G E T – qp29. Ak chcete získať zľavu 30 % z provízie B I T G E T, jednoducho postupujte podľa týchto krokov:
Zaregistrujte si nový účet u B I T G E T.
Uistite sa, že používate referenčný kód B I T G E T qp29.
Koľko je bonus za odporúčanie pre B I T G E T?
Pozvite svojich priateľov, aby sa pripojili k B I T G E T a vyhrajte spolu podiel z cenového fondu za odporúčanie! Každý priateľ, ktorého odporučíte, môže zarobiť 50 USD, maximálne však 1 000 USD na používateľa. Používatelia môžu pozvať priateľov, aby sa zaregistrovali v B I T G E T. Ak splnia všetky požiadavky, vy a vaši priatelia získate obchodné bonusy vo výške 50 USD až do maximálneho limitu.
Ako získam B I T G E T bonus?
Denne získavajte body a vymieňajte ich za USDT. Splňte výzvu do siedmich dní a odomknite všetky odmeny. Zaregistrujte sa a získajte uvítací balíček v hodnote 1 000 USD. Ak chcete získať 200 bodov, vložte aspoň 50 USD. Urobte svoj prvý obchod v hodnote aspoň 50 $ a získajte 500 bodov.
Uplatňujú sa zľavy z obchodnej provízie automaticky?
Absolútne. Akonáhle sa zaregistrujete pomocou nášho exkluzívneho odporúčacieho kódu B I T G E T qp29, zľava 30 % sa automaticky uplatní. Nevyžadujú sa žiadne ďalšie kroky. Stačí sa ponoriť do obchodovania a využiť trvalú 30 % zľavu na všetky provízie.
Referenčný kód B I T G E T: qp29 (B I T G E T 1000 USDT registračný bonus) | Nový promo kód B I T G E T 2024Hľadáte odporúčací kód B I T G E T? Posledný na rok 2024 je 29 qp. S týmto kódom získate zľavu 30%. Okrem toho môžu noví používatelia BIT G E T, ktorí sa zaregistrujú s propagačným kódom „qp29“, získať exkluzívnu propagačnú odmenu v hodnote až 1 000 USD.Aký je referenčný kód B I T G E T?Kód „qp29“ v programe BIT G E T funguje ako referenčný kód. Zadaním tohto kódu získate trvalé zníženie poplatkov za obchodovanie a tiež 30% zľavu na vaše obchody. Navyše, ak zdieľate svoj odporúčací kód so svojimi priateľmi, máte šancu vyhrať štedrý 50% bonus. Použitie tohto kódu poskytuje cennú príležitosť na zníženie poplatkov a potenciálne zvýšenie vašich zárobkov prilákaním ďalších na platformu.Aký je najlepší odporúčací kód B I T G E T 2024?Dôrazne odporúčaný zľavový kód B I T G E T je 29 qp. Ak pri registrácii použijete tento kód, získate štedrý bonus 100 $. Ak svoj kód zdieľate so svojimi priateľmi, máte možnosť získať obrovskú 50% províziu. To vám v podstate dáva možnosť získať maximálny registračný bonus až 1 000 $ ako uvítaciu odmenu. Je to skvelý spôsob, ako rozšíriť svoje obchodné skúsenosti o ďalšie výhody a zároveň povzbudiť ostatných, aby sa pripojili a získali vlastné odmeny.Ako používať odporúčací kód B I T G E TReferenčný kód B I T G E T je dostupný pre nových používateľov, ktorí sa ešte nezaregistrovali na burze. Bohužiaľ, ak už máte účet, nebudete môcť použiť odporúčací kód.B I T G E T však ponúka niekoľko ďalších spôsobov, ako sa zapojiť do akcií a získať odmeny. Pozrime sa na tieto alternatívy.Pre nováčikov B I T G E T sú tu podrobné pokyny, ako požiadať o odporúčací kód:Ak chcete začať, navštívte stránku B I T G E T a kliknite na modré tlačidlo „Prihlásiť sa“.Poskytnite presné údaje o používateľovi, pretože sa bude kontrolovať, či sú v súlade s postupmi KYC a AML.Keď sa zobrazí výzva na zadanie odporúčacieho kódu, zadajte qp29.Dokončite proces registrácie a dokončite všetky požadované overenia.Po splnení všetkých podmienok môžete okamžite získať uvítací bonus.Tento prístup zabezpečuje, že noví používatelia môžu jednoducho dokončiť registračný proces aj bez odporúčacieho kódu a po splnení stanovených požiadaviek dostanú uvítací bonus.Aký je odporúčaný odporúčací kód pre B I T G E T?Referenčný kód B I T G E T – qp29. Ak chcete získať zľavu 30 % z provízie B I T G E T, jednoducho postupujte podľa týchto krokov:Zaregistrujte si nový účet u B I T G E T.Uistite sa, že používate referenčný kód B I T G E T qp29.Koľko je bonus za odporúčanie pre B I T G E T?Pozvite svojich priateľov, aby sa pripojili k B I T G E T a vyhrajte spolu podiel z cenového fondu za odporúčanie! Každý priateľ, ktorého odporučíte, môže zarobiť 50 USD, maximálne však 1 000 USD na používateľa. Používatelia môžu pozvať priateľov, aby sa zaregistrovali v B I T G E T. Ak splnia všetky požiadavky, vy a vaši priatelia získate obchodné bonusy vo výške 50 USD až do maximálneho limitu.Ako získam B I T G E T bonus?Denne získavajte body a vymieňajte ich za USDT. Splňte výzvu do siedmich dní a odomknite všetky odmeny. Zaregistrujte sa a získajte uvítací balíček v hodnote 1 000 USD. Ak chcete získať 200 bodov, vložte aspoň 50 USD. Urobte svoj prvý obchod v hodnote aspoň 50 $ a získajte 500 bodov.Uplatňujú sa zľavy z obchodnej provízie automaticky?Absolútne. Akonáhle sa zaregistrujete pomocou nášho exkluzívneho odporúčacieho kódu B I T G E T qp29, zľava 30 % sa automaticky uplatní. Nevyžadujú sa žiadne ďalšie kroky. Stačí sa ponoriť do obchodovania a využiť trvalú 30 % zľavu na všetky provízie. Read More
Paraglider project released as open source to simplify networking within and across clouds
We are thrilled to share that last week during the ONE Summit North America, we launched Paraglider as an open source project under the Linux Foundation.
Paraglider is the result of a collaboration between teams at UC Berkeley’s NetSys Lab, Microsoft Azure Networking, Google Cloud Platform (GCP), and IBM Cloud, to define a streamlined cloud networking experience that aims at reducing the knowledge necessary for developers and network operators to set up and manage cloud networks for their applications. At a basic level, Paraglider works by deriving network configurations from connectivity requirements at each endpoint rather than following the traditional approach of assembling networks out of cloud-specific low-level building blocks.
Besides the members of the working group, for the official announcement, we also had support from Aarna Networks, Broadcom, Intel, and Uber:
Microsoft Tech Community – Latest Blogs –Read More
AZ-900 Certification
Hello Everyone, I am looking to connect with individuals who are looking to write the AZ 900 Exams, Anyone can say Hi
Hello Everyone, I am looking to connect with individuals who are looking to write the AZ 900 Exams, Anyone can say Hi Read More
Step input to 6DOF impacts performance
I am currently using a 6DOF block with the moment input being a sum of two signals. When one of these signals is a step input (i.e., going from zero to a nonzero value over a single timestep), the simulation slows down significantly; however, this only occurs for a moment about one axis and not about the other two axes. Are there any potential solutions for this?I am currently using a 6DOF block with the moment input being a sum of two signals. When one of these signals is a step input (i.e., going from zero to a nonzero value over a single timestep), the simulation slows down significantly; however, this only occurs for a moment about one axis and not about the other two axes. Are there any potential solutions for this? I am currently using a 6DOF block with the moment input being a sum of two signals. When one of these signals is a step input (i.e., going from zero to a nonzero value over a single timestep), the simulation slows down significantly; however, this only occurs for a moment about one axis and not about the other two axes. Are there any potential solutions for this? 6dof MATLAB Answers — New Questions
error using the g2s (grad2surf) function on R2024a
Hello all,
I have used the functions alot on version R2021b and they ran perfect.
When i tried to run it on R2024a and got an error regarding the lyap function (the function g2s calls for g2sSylvester which calls for "lyap" function on line 100).
Just to verify, I ran it again with same variables on the older version and the error disappeared.
Any idea what is causing this and how it can be solved?
As i am using the new DL functions of the later version i would like to keep using the later version
BR
NoamHello all,
I have used the functions alot on version R2021b and they ran perfect.
When i tried to run it on R2024a and got an error regarding the lyap function (the function g2s calls for g2sSylvester which calls for "lyap" function on line 100).
Just to verify, I ran it again with same variables on the older version and the error disappeared.
Any idea what is causing this and how it can be solved?
As i am using the new DL functions of the later version i would like to keep using the later version
BR
Noam Hello all,
I have used the functions alot on version R2021b and they ran perfect.
When i tried to run it on R2024a and got an error regarding the lyap function (the function g2s calls for g2sSylvester which calls for "lyap" function on line 100).
Just to verify, I ran it again with same variables on the older version and the error disappeared.
Any idea what is causing this and how it can be solved?
As i am using the new DL functions of the later version i would like to keep using the later version
BR
Noam optimization, deep learning, computer vision MATLAB Answers — New Questions
Is there a way to create a lot of graphs for a 4D matrix without coding for a ton of individual graphs?
I have a 4D matrix that I’m trying to create graphs for. There are 4 dimensions, a physical state, two informational states, and time.
I want to make a bunch of graphs within a larger "graph" Basically info state 1 on the y axis and info state 2 on the x axis, but then within that, there are a bunch of graphs with physical state on the y axis and time on the x axis.
Here’s an example of one graph:
fivexfive(:,:)=opt(:,5,5,:);
imagesc(fivexfive);
colorbar;
xlabel(‘Time’);
ylabel(‘State’);
set(gca,’YDir’,’normal’);
axis(‘square’)
the second two dimensions range from 1-15 each. So that’d be….. a lot of graphs.
Is there any way to try and make at least a few of them without brute forcing a ton of graphs? If that’s not possible that’s fine, figured I’d try asking!I have a 4D matrix that I’m trying to create graphs for. There are 4 dimensions, a physical state, two informational states, and time.
I want to make a bunch of graphs within a larger "graph" Basically info state 1 on the y axis and info state 2 on the x axis, but then within that, there are a bunch of graphs with physical state on the y axis and time on the x axis.
Here’s an example of one graph:
fivexfive(:,:)=opt(:,5,5,:);
imagesc(fivexfive);
colorbar;
xlabel(‘Time’);
ylabel(‘State’);
set(gca,’YDir’,’normal’);
axis(‘square’)
the second two dimensions range from 1-15 each. So that’d be….. a lot of graphs.
Is there any way to try and make at least a few of them without brute forcing a ton of graphs? If that’s not possible that’s fine, figured I’d try asking! I have a 4D matrix that I’m trying to create graphs for. There are 4 dimensions, a physical state, two informational states, and time.
I want to make a bunch of graphs within a larger "graph" Basically info state 1 on the y axis and info state 2 on the x axis, but then within that, there are a bunch of graphs with physical state on the y axis and time on the x axis.
Here’s an example of one graph:
fivexfive(:,:)=opt(:,5,5,:);
imagesc(fivexfive);
colorbar;
xlabel(‘Time’);
ylabel(‘State’);
set(gca,’YDir’,’normal’);
axis(‘square’)
the second two dimensions range from 1-15 each. So that’d be….. a lot of graphs.
Is there any way to try and make at least a few of them without brute forcing a ton of graphs? If that’s not possible that’s fine, figured I’d try asking! graph, 4d matrix, matrix MATLAB Answers — New Questions
solving non-linear ODE
I’m trying to solve ODE using MATLAB(ode45), but not working.
In this case, how can I modify code
Here is existing code
a = theta_m / erf(Z)/(2*sqrt(alpha * t));
c = (1 – theta_m)/(erfc(Z)/(2*sqrt(alpha * t)));
term1 = simplify(a – c);
term2 = (sqrt(pi)*rho*del_H/(2*k*(T1-T0))) * exp((Z)^2/(4*alpha^2*t^2));
dZdt = @(t,Z) term1/term2
tspan = [0 5];
Z0 = 0;
[t,Z] = ode45(dZdt, tspan, Z0);
Error using superiorfloat
Inputs must be floats, namely single or double.
Error in odearguments (line 114)
dataType = superiorfloat(t0,y0,f0);
Error in ode45 (line 107)
odearguments(odeIsFuncHandle,odeTreatAsMFile, solver_name, ode, tspan, y0, options, varargin);
Error in untitled3 (line 27)
[t,Z] = ode45(dZdt, tspan, Z0);
Thanks for your supportI’m trying to solve ODE using MATLAB(ode45), but not working.
In this case, how can I modify code
Here is existing code
a = theta_m / erf(Z)/(2*sqrt(alpha * t));
c = (1 – theta_m)/(erfc(Z)/(2*sqrt(alpha * t)));
term1 = simplify(a – c);
term2 = (sqrt(pi)*rho*del_H/(2*k*(T1-T0))) * exp((Z)^2/(4*alpha^2*t^2));
dZdt = @(t,Z) term1/term2
tspan = [0 5];
Z0 = 0;
[t,Z] = ode45(dZdt, tspan, Z0);
Error using superiorfloat
Inputs must be floats, namely single or double.
Error in odearguments (line 114)
dataType = superiorfloat(t0,y0,f0);
Error in ode45 (line 107)
odearguments(odeIsFuncHandle,odeTreatAsMFile, solver_name, ode, tspan, y0, options, varargin);
Error in untitled3 (line 27)
[t,Z] = ode45(dZdt, tspan, Z0);
Thanks for your support I’m trying to solve ODE using MATLAB(ode45), but not working.
In this case, how can I modify code
Here is existing code
a = theta_m / erf(Z)/(2*sqrt(alpha * t));
c = (1 – theta_m)/(erfc(Z)/(2*sqrt(alpha * t)));
term1 = simplify(a – c);
term2 = (sqrt(pi)*rho*del_H/(2*k*(T1-T0))) * exp((Z)^2/(4*alpha^2*t^2));
dZdt = @(t,Z) term1/term2
tspan = [0 5];
Z0 = 0;
[t,Z] = ode45(dZdt, tspan, Z0);
Error using superiorfloat
Inputs must be floats, namely single or double.
Error in odearguments (line 114)
dataType = superiorfloat(t0,y0,f0);
Error in ode45 (line 107)
odearguments(odeIsFuncHandle,odeTreatAsMFile, solver_name, ode, tspan, y0, options, varargin);
Error in untitled3 (line 27)
[t,Z] = ode45(dZdt, tspan, Z0);
Thanks for your support ode, nonlinear, matlab code MATLAB Answers — New Questions
xregion yregion back/front control
I play with the new xregion command (R2023A)
The red region is hide by the histogram, not sure why it is not as document example and what should I do to bring it in front
Data = randn(1,1000);
figure
histogram(Data,20,’Normalization’,’pdf’,’FaceColor’, ‘c’);
hold on
m = mean(Data);
s = std(Data);
x = linspace(m-3*s,m+3*s).’;
g = 1/(s*sqrt(2*pi))*exp(-(x-m).^2/(2*s^2));
plot(x,g,’c’, ‘LineWidth’, 2);
xregion(1, m+3*s,’FaceColor’, [0.5 0 0], ‘FaceAlpha’, 1)
set(gca, ‘XTick’, [], ‘YTick’, [], ‘ZTick’, [], ‘Color’, ‘k’);
Note: I play with gca Children order, it doesn’t seem to affect the front/back priority.
Ultimately what I want is this (here I use patch rather than xregion)I play with the new xregion command (R2023A)
The red region is hide by the histogram, not sure why it is not as document example and what should I do to bring it in front
Data = randn(1,1000);
figure
histogram(Data,20,’Normalization’,’pdf’,’FaceColor’, ‘c’);
hold on
m = mean(Data);
s = std(Data);
x = linspace(m-3*s,m+3*s).’;
g = 1/(s*sqrt(2*pi))*exp(-(x-m).^2/(2*s^2));
plot(x,g,’c’, ‘LineWidth’, 2);
xregion(1, m+3*s,’FaceColor’, [0.5 0 0], ‘FaceAlpha’, 1)
set(gca, ‘XTick’, [], ‘YTick’, [], ‘ZTick’, [], ‘Color’, ‘k’);
Note: I play with gca Children order, it doesn’t seem to affect the front/back priority.
Ultimately what I want is this (here I use patch rather than xregion) I play with the new xregion command (R2023A)
The red region is hide by the histogram, not sure why it is not as document example and what should I do to bring it in front
Data = randn(1,1000);
figure
histogram(Data,20,’Normalization’,’pdf’,’FaceColor’, ‘c’);
hold on
m = mean(Data);
s = std(Data);
x = linspace(m-3*s,m+3*s).’;
g = 1/(s*sqrt(2*pi))*exp(-(x-m).^2/(2*s^2));
plot(x,g,’c’, ‘LineWidth’, 2);
xregion(1, m+3*s,’FaceColor’, [0.5 0 0], ‘FaceAlpha’, 1)
set(gca, ‘XTick’, [], ‘YTick’, [], ‘ZTick’, [], ‘Color’, ‘k’);
Note: I play with gca Children order, it doesn’t seem to affect the front/back priority.
Ultimately what I want is this (here I use patch rather than xregion) xregion, yregion, front, back MATLAB Answers — New Questions
Is there are way to set an appoinment as “All Day” via the API
The bookings API has come a long way, but it still appears to be missing basic things that are available via the Calendar API.
https://learn.microsoft.com/en-us/graph/api/bookingappointment-get?view=graph-rest-1.0&tabs=http
Is there a documented (or undocumented) way to get and set the Bookings appointment item as “All Day” from the API? This option exists in the web interface, so it has to be available in the backend somewhere.
The bookings API has come a long way, but it still appears to be missing basic things that are available via the Calendar API.https://learn.microsoft.com/en-us/graph/api/bookingappointment-get?view=graph-rest-1.0&tabs=http Is there a documented (or undocumented) way to get and set the Bookings appointment item as “All Day” from the API? This option exists in the web interface, so it has to be available in the backend somewhere. Read More