#distance function matlab | Explore Tumblr posts and blogs

priyaohia · 2 years ago

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#matlab random sample #distance function matlab #matlab distance between two points

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sevenfactorial · 4 months ago

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This morning I misread the theorem on the board and thought it said subset instead of subspace, which was rather troubling since we used convexity in the argument. Naturally, I ask what guarantees convexity and the professor pointed out subspace so cool. Great.

But he also said "where did you pick that up? Off the street?"

Because yeah, you can use a convex set instead of subspace. But it was such an unexpected question, phrased in such an unexpected way.

#the theorem is the metric based on the min distance between a point and a closed subspace #i do remember proving the closed convex set version once on a hw assignment (differential topology class) and it was a nightmare #seven stories #functional #DEs was also confusing and all over the place today #we were doing some matlab stuff but mostly listend/watched him? but most of us had our laptops out #which was great for me cause i was running a python script all day so I was able to fix a mistake on the input txt file during class #and start the script again #i also just like. did the entire cosing problem from the hw during class. it took like 5 min

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technology-123s-blog · 1 year ago

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WSN Projects on MATLAB for Engineering Students

Takeoff Projects team members are highly skilled and have a strong belief that the WSN projects in MATLAB will be a valuable learning tool that boosts the confidence of students to complete and accomplish their academic goals in wireless communications and IoT. We consider that not only should students learn about WSN and MATLAB in theory, but more importantly, they will need practical skills and experience for their future careers and the next generation of engineers, scientists, and researchers.

List of WSN Projects on MATLAB for Students & Researchers:

1.Design and Application of Intelligent Agriculture Service System with LoRa-based on Wireless Sensor Network:

This project proposes a low-power farm environment detection system based on LoRa wireless technology. In view of the current intelligent agriculture's collection and processing of production site data and the control requirements of related equipment, ZigBee, Wi-Fi, GPRS traditional wireless sensing technology has short trans-mission distance and signal interference in greenhouse environment monitoring systems such as large-scale farms. Shortcomings such as complex networking

2.Energy-Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks:

In this project, we mainly concentrate on harvesting the energy in WSN. The Energy Harvesting (EH) sensors have been proposed to overcome the mentioned problem in recent years. These sensors can harvest their required energy from environment in different methods, resulting in longer life time.

3.Energy-Neutral Wireless Sensor Network Based on SWIPT in Wireless Powered Communication Networks:

In this project, we introduce a novel ENO framework. For energy-neutral operation (ENO) of wireless sensor networks (WSNs), we consider a WSN deployed in a wireless powered communication network. In this network, sensor nodes with high harvesting energies and good link budgets have energy remaining after sending their data to the cluster head (CH), whereas the CH suffers from energy scarcity.

4.Data Centric Routing in WSN for Energy Conservation Using Directed Diffusion:

In this project, the work focuses on designing a data-centric approach, Directed Diffusion (DD) for reliable energy efficiency. One of the growing techniques is under the Wireless sensor networks (WSNs), which are associated with the smaller nodes used to sense, calculation and also have communication abilities and Energy efficiency is a challenging issue in WSN.

5.Distributed Learning Algorithms for Optimal Data Routing in IoT Networks:

In this project, we consider and work on the problem of joint lossy data compression and data routing in distributed Internet of Things (loT). Heterogeneous sources compress their data using a source-specific lossy compression scheme, where heterogeneity is meant in terms of signal type and/or transmission rates.

MATLAB is an industrial strength tool for the simulation and analysis of WSNs, which have various built-in functions and libraries for digital signal processing, communication systems, and machine learning.

In addition, we offer tutorials and resources to facilitate the students' learning process including the software and technologies adopted in the WSN projects employed in MATLAB. Are you a student interested in getting hands on experience in WSNs and MATLAB, then you should take us into consideration for your next project. It is we, therefore, invite you to reach out to us and for more information about our WSN Projects in MATLAB.

Visit More information: https://takeoffprojects.com/wsn-projects-in-matlab Meta Tags: WSN Projects, MATLAB Projects, CSE Projects, Engineering Projects, Final Year Projects, Academic Projects

#WSN Projects #MATLAB Projects #CSE Projects #academic projects #academic students projects #final year students projects

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techrobot1235 · 2 years ago

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Basics of AR: SLAM – Simultaneous Localization and Mapping

What does SLAM mean?

Through the collection of diverse data and their subsequent transformation into multiple formats so that they may be readily interpreted, simultaneous localization and mapping (SLAM) technology aids in understanding and creating maps. SLAM has been able to understand the egg and chicken paradox by gathering data and obtaining the Ariel signals from the environment through the map, utilizing designated places. The environment would be tracked immediately, and the map would be shown as 3D objects and scenarios using SLAM.

Uses for SLAM include parking a self-driving car in an open place or using a drone to deliver a package in an unknown area. A fleet of mobile robots might also be used to organize the shelves in a warehouse using guidance systems. SLAM algorithms, functions, and analysis tools are available in the MATLAB program for the development of a variety of applications.

Functions of SLAM

The first type is sensor signal processing, which also involves front-end processing and significantly relies on the sensors being used. The second kind is pose-graph optimization, which also includes sensor-independent back-end processing. There are two types of SLAMs:

Visual SLAM: Cameras and other image sensors are used for visual SLAM, also known as vSLAM. For visual SLAM (depth and ToF cameras), simple cameras (wide angle, fish-eye, and spherical cameras), complex eyes (stereo and multi cameras), and RGB-D cameras can all be used. Utilizing cheap cameras allows for visual SLAM at a minimal cost. Also, because cameras provide a lot of information, they may be utilized to recognize landmarks (previously measured positions). Second, landmark detection and graph-based optimization can increase SLAM implementation flexibility.

Slam lidar: The technique known as light detection and ranging (lidar) typically utilizes a laser sensor (or distance sensor). Lasers are employed in applications involving high-speed moving vehicles like self-driving cars and drones because they are substantially more accurate than cameras, ToF, and other sensors. When you create SLAM maps, the laser sensor point cloud offers highly accurate distance measurements. In general, movement is calculated by matching the point clouds in a proper sequence.

Basics of AR: SLAM

AR using markers

The device’s camera must be pointed clearly at visuals to use AR technology. The gadget could understand the superimposed material thanks to specified visuals. The one limitation of marker-based technology was that it required a physical object (in this example, the image) for use. As a result, businesses had to advertise both the tangible product and the software.

Technology for databases

According to developers, the smooth operation of SLAM AR technology requires a thorough database. Tech behemoths understand the value of having a strong database, but it is up to them how they use this database in this industry. Since SLAM and AR will likely become billion-dollar industries over the next 10 years, all IT behemoths are vying to develop a proper visual understanding of the real world. Nobody wants to fall behind the competition.

Sensors for Observing the Environment

Data from multiple sources, such as the camera, is processed to create a map of the surrounding area and find the gadget in the area. The device uses information from essential sensors, such as the gyroscope and accelerometer, to reduce errors. But GPS falls short of expectations indoors and lacks the simplicity of well-known beacons.

The automobile business and the guiding sector both benefit from SLAM. It is a guiding system in automobiles, autonomous vehicles, laptops, headsets, etc. For companies and clients in sectors like navigation, gaming, advertising, etc., it may also be crucial. Hence, SLAM has a wide range of uses and will continue to remain on the market.

#technology #machine learning #big data #chatgpt #ai

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macla539ac · 2 years ago

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models of classical particles (with mass, without size) subject to Newton's laws naturally result in the following expression for the total energy of the system:

H = T(p) + V(q)

here, p is a vector of moments (mass-weighted velocities) and q is a vector of coordinates (particle positions). The laws of classical mechanics impose, from the above statement, a specific expression for T(p), the so-called 'kinetic energy, but a variety of systems can be written by varying the potential energy V(q) - oscillators, pendulums, planetary systems, etc

what is interesting (in the sense of "curious") is this: since energy is separable into functions of p and q, V(q) can be practically anything. This gives scope for very fun experiments with particles whose gravity is negative, coordinates defined in L^p spaces (which changes the definition of 'distance')...

it occurs however that when I talk to someone in a philosophical colloquial sense about discussing human potency not human right I'm not really talking about V(q). The potential field is the Real celestial mechanics L^8 only exists in Matlab. All that happens in our prosaic world is to accumulate kinetic energy the rich tend to get richer, the literate more literate, the artists more artistic, the violinists more pedantic etc

that is a whole moral and civic education. Kinetic energy. fire and motion. Look at the potential field, find a favorable gradient and, using what little energy G'd has managed to give you, go. go, go, go or come back

#m

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digitaldataera · 4 years ago

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Learn About Different Tools Used in Data Science

Data Science is a very broad spectrum and all its domains need data handling in unique way which get many analysts and data scientists into confusion. If you want to be pro-active in finding the solution to these issues, then you must be quick in making decision in choosing the right tools for your business as it will have a long-term impact.

This article will help you have a clear idea while choosing the best tool as per your requirements.

Let's start with the tools which helps in reporting and doing all types of analysis of data analytic and getting over to dashboarding. Some of the most common tools used in reporting and business intelligence (BI) are as follows:

- Excel: In this you get wide range of options which includes Pivot table and charts, with which you can do the analysis more quickly and easily.

- Tableau: This is one of the most popular visualization tools which is also capable of handling large amounts of data. This tool provides an easy way to calculate functions and parameters, along-with a very neat way to present it in a story interface.

- PowerBI: Microsoft offers this tool in its Business Intelligence (BI) Space, which helps in integrations of Microsoft technologies.

- QlikView: This is also a very popular tool because it’s easy to learn and is also a very intuitive tool. With this, one can integrate and merge, search, visualize and analyse all the sources of data very easily.

- Microstrategy: This BI tool also supports dashboards, key data analytics tasks like other tools and automated distributions as well.

Apart from all these tools, there is one more which you cannot exclude from this tool's list, and that tool is

- Google Analytics: With google analytics, you can easily track all your digital efforts and what role they are playing. This will help in improvising your strategy.

Now let's get to the part where most of the data scientists deal with. The following predictive analytics and machine learning tools will help you solve forecasting, statistical modelling, neural networks and deep learning.

- R: It is very commonly used language in data science. You can access its libraries and packages as they are easily available. R has also a very strong community which will you if you got with something.

- Python: This is also one of the most common language for data science, or you can also say that this is one the most used language for data science. It is an open-source language which makes it favourite among data scientists. It has gained a good place because of its ease and flexibility.

- Spark: After becoming open source, it has become one of the largest communities in the world of data. It holds its place in data analytics as it offers features of flexibility, computational power, speed, etc.

- Julia: This is a new and emerging language which is very similar to Python along-with some extra features.

- Jupyter Notebooks: This is an open-source web application widely used in Python for coding. It is mainly used in Python, but it also supports R, Julia etc.

Apart from all these widely used tools, there are some other tools of the same category that are recognized as industry leaders.

- SAS

- SPSS

- MATLAB

Now let's discuss about the data science tools for Big Data. But to truly understand the basic principles of big data, we will categorize the tools by 3 V's of big data:

· Volume

· Variety

· Velocity

Firstly, let's list the tools as per the volume of the data.

Following tools are used if data range from 1GB to 10GB approx.:

- Microsoft Excel: Excel is most popular tool for handling data, but which are in small amounts. It has limitations of handling up to 16,380 columns at a time. This is not a good choice when you have big data in hand to deal with.

- Microsoft Access: This is also another tool from Microsoft in which you handle databases up to 2 Gb, but beyond that it will not be able to handle.

- SQL: It has been the primary database solution from last few decades. It is a good option and is most popular data management system but, it still has some drawbacks and become difficult to handle when database continues to grow.

- Hadoop: If your data accounts for more than 10Gb then Hadoop is the tool for you. It is an open-source framework that manages data processing for big data. It will help you build a machine learning project from starting.

- Hive: It has a SQL-like interface built on Hadoop. It helps in query the data which has been stored in various databases.

Secondly, let's discuss about the tools for handling Variety

In Variety, different types of data are considered. In all, data are categorized as Structured and Unstructured data.

Structured data are those with specified field names like the employee details of a company or a school database or the bank account details.

Unstructured data are those type of data which do not follow any trend or pattern. They are not stored in a structured format. For example, the customer feedbacks, image feed, video fee, emails etc.

It becomes really a difficult task while handling these types of data. Two most common databases used in managing these data are SQL and NoSQL.

SQL has been a dominant market leader from a long time. But with the emergence of NoSQL, it has gained a lot of attention and many users have started adopting NoSQL because of its ability to scale and handle dynamic data.

Thirdly, there are tools for handling velocity.

It basically means the velocity at which the data is captured. Data could be both real time and non-real time.

A lot of major businesses are based on real-time data. For example, Stock trading, CCTV surveillance, GPS etc.

Other options include the sensors which are used in cars. Many tech companies have launched the self-driven cars and there are many high-tech prototypes in cue to be launched. Now these sensors need to be in real-time and very quick to dynamically collect and process data. The data could be regarding the lane, it could be regarding the GPS location, it could be regarding the distance from other vehicles, etc. All these data need to be collected and processed at the same time.

So, for these types of data following tools are helping in managing them:

- Apache Kafka: This is an open-source tool by Apache and is quick. One good feature of this tool is that this is fault-tolerant because of which this is used in production in many organisations.

- Apache Storm: This is another tool from Apache which can used with most of the programming language. It is considered very fast and good option for high data velocity as it can process up to 1 Million tuples/second.

- Apache Flink: This tool from Apache is also used to process real-time data. Some of its advantages are fault-tolerance, high performance and memory management.

- Amazon Kinesis: This tool from Amazon is a very powerful option for organizations which provides a lot of options, but it comes with a cost.

We have discussed about almost all the popular tools available in the market. But it’s always advisable to contact some data science consulting services to better understand the requirements and which tool will be best suitable for you.

Look for the best data science consulting company which would best suit in your requirements list.

#data science #data science consulting services #best data science consulting company #data science consultant

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tellywoodtrash · 5 years ago

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sanjivani 13.03.20 lb

i’m not doing the whole screenshot thing coz it’s waaaaay too much effort than i can be arsed for this bloody show anymore.

also i read the episode blurb and am already mad af. ugh, let’s just do this and get it the fuck over with.

---------------------------

these ppl actually believe that sid tried to kidnap ishani. sure. the marela thakela dude who just had major brain surgery 2 days ago and hasn’t done jack for god knows how long is suddenly mr. proactive. uh huh.

this fucking shady mama-mami. tf are they getting outta this anyway?????? (i suppose i’d know if i bothered watching the show, but lol naaah, idc.)

YO MAN I’M REALLY FEELING THIS CHEMISTRY BETWEEN THE HUSBAND AND ISHANI. I’M REALLY FUCKING PISSED NOW.

sis finally does the right thing and speaks her heart out and is like “yeah actually i’d like to make this relationship work.” der aayi par durust aayi.

ainvayi ka tension ramp up with condition and all.

ugh. honestly. where did all this coffee endorsement get this stupid show. i bet the trps actually went down after they started this bs.

DUDE I WANT HER TO STAY WITH THE HUSBAND

husband is all giddily in love with her and still walking around with holi colours she applied on his face. god i love dudes who are stupidly in love with their wives.

ishani really needs some kinda deep conditioning treatment coz sis your hair is looking fried as fuckkkkkkkkk. like jeez, at least put some argan oil on it or something?!?!

husband is tooooooo good of a human being. wants to go give his wife’s “kidnapper” his medicines in jail. matlab hadhhhhh hai acchaai ki, sir!

shady mama put an end to that, i guess.

ishani ne kasam kha rakhi hai ki jab bhi shaadi ka joda pehenegi aisi sadddddi hui shakal ke saath hi. teesri baar hai sis, kabhi toh khush hua karo.

ok she’s pulling herself outta it. but kya faayda. *sigh*

lmaooooooooooooo rahil got arrested with sid? for what?????

lol sid asking the police to “just let us go”. sure, that’s how it works. are we sure that tumour was fully removed????

finally dimaag ki batti jali. god i can’t believe how much they ruined this dude’s character.

also damn i got over my crush on namit quick and his voice is really annoying me rn. how tf am i suppose to go back to YPNTKH now?????

lmao these police waale actors reallllll bad.

lol i can’t believe the police dude is getting spooked by this one dude who just got out of brain surgery and has a huge bandage on the back of his head, and the other one is like 4 feet tall. rahil i love you, but being threatening is not something you can do, lol.

ishani idhar abhi bhi dharam sankat mein. ouffffffffffff.

more nescafe endorsement. bedagarak ho inka. achche khaase show ko 20 min ka coffee ad bana rakha hai.

LOL WHAT EVEN IS THIS FIGHT SCENE. RAHIL IS WRESTLING TWO GROWNASS MEN SINGLEHANDEDLY, LMAOOOOOOO I FUCKING CANTTTTTTT.

ok just all round badddddd acting in these scenes with namit and the real/fake police. fwding.

husband is a real good dude and does not deserve to be in this show’s universe. poor guy. this is his purgatory. someone freeeeeeeeeeeeeeeee himmmmmmm.

ishani’s spidey senses still tingling for sid. ughhhhhhhhhhhh.

blah blah blah fwding shaadi nonsense. jab honi hi nahi hai toh kaaahe ka time waste.

LMAO SUDDENLY MAMA’S NAME CHANGED FROM VIVEK ARORA TO VIVEK MALHOTRA. NO ONE GIVING A FUCK IN THIS LAST EPISODE HUH.

also the police just literally waltzed into the mandap to do khuspus in nv’s ear. matlab kuchhhhhhhhhh bhi chal raha hai yahan pe.

lo ji sid rahil bhi haazir.

LMAO MAMA REALLY TRIED TO MAKE A RUN FOR IT.

ok truth is all out now.

“HUM NAHI CHAHTE THE KI SHAADI KE BAAD BHI ISHANI HUMPAR BHOJ BANI RAHE”?!?!?!?! WHAT BHOJ, YALL WERE LITERALLY NOT IN THE PICTURE AFTER SHE CAME AND JOINED SANJIVANI?!?!!? AINVAYIIIIIIII KUCH BHI???????

LMAO WTF MAMI WRANGLED A GUN OUTTA POLICEWAALA’S HAND AND IS HOLDING ALL THESE PPL AT GUNPOINT WTF IS EVEN HAPPENINGGGGGGG OH MY GODDDDD

cool cool cool cool cool cool cool cool cool cool cool, ishani ke maa baap ka bhi mami mami only did kaand. for what reason, who tf knows or cares anymore?!?!

WHY ARE THEY SO SMUGLY CONFESSING THIS (A WHOLE OTHER CASE) IN FRONT OF THE POLICE AND INCREASING THEIR OWN LEGAL PROBLEMS THO? MY GOD THIS SHOW HAS GOTTEN SO BAD I CAN’T EVENNNNNNN

ishani’s two boy toys uniting to take down evil mama mami. chalo ji, yeh trope bhi ho gaya.

husband got shot in the hand for his achchaai in trying to save sid. no good deed goes unpunished in tellywood, and thus this man will have to suffer more than anyone else here.

WHAT EVEN ARE THESE AWKWARD CUTS AND EDITS LORD DOES NO ONE WORKING ON THIS SHOW GIVE A SINGLE FUCK ANYMOREEEEEEEEEEEE?????

sid standing like a sulky toddler in one corner. lord the way they ruined this characterrrrrrrrrr. main kabhi maaf nahi karoongi.

i realllllllllly do not care for this dumbass expository conversation. just get it the fuck over with.

YES SID DO THE RIGHT THING LET HER MOVE ON WITH MR SINGH PLS GOD JUST LET MY GIRL GOOOOOOOOOOOOOO

lol now both of them are angstily crying over........ their mutual crush on mr singh and his unlimited achchaai?

mr singh is here to talk sense into everyone’s heads, as per usual.

lmaooooooooooooooo @ sid awkwardly standing here listening to this conversation about all this mohabbat mr singh has for ishani.

blah blah blah khatam karo yaaaar, sar phataa jaa raha hai. ‘

ok this took a weird-ish turn and lol i am sid, awkwardly lingering here like “should i go or like... mera yahaan hone ka kuch matlab bhi hai??”

haaan lucky toh hai siddhant. who tf comes out of a coma with a brain tumour and still survives and regains all his motor functions back IMME-FUCKING-DIATELY?????? a “lucky” medical miracle, that’s whom.

HANDSHAKE?????????? IN THESE CORONA INFESTED TIMES??????????????? WHAT TF YOU PPL EVEN DOING?!?!?! SOCIAL DISTANCING, PPL!!!!!!! FFS YOU’RE IN THE MEDICAL FIELD?!?!?!?!?!!

blah blah blah, kar diya mr singh ne apni biwi ka kanyadaan uske aashiq ko. no one even bothered to give her time to like sit down and really think about what she wanted to do with her life after all these chaotic revelations. bas passed her over from one man to another like she’s some kinda property. cool. patriarchy zindaabaaad.

that’s the most bhai-behen-ly hug i have ever seen. dupatta phaad ke raakhi baand le isko, behen.

lmao at least kunal got to cheese it up in the last shot. good for him.

ok now fuck this i’m off to watch the new ep of brooklyn nine nine. i deserve it as a reward for sitting through this bullcrap.

#sanjivani #sj lbs #episode liveblogs

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htvewor · 3 years ago

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Matlab 2017 sum every element matrix

#MATLAB 2017 SUM EVERY ELEMENT MATRIX CODE#

Note: If the length of the array is odd then the right half will contain one element more than the left half. Your program should use ~ 2 lg n compares in the worst case. The basic brute force approach to this problem would be generating all the subarrays of the given array, then loop through the generated subarray and calculate the sum and if this sum is equal to the given sum then printing this subarray as it is the part of our solution. so 1 0 1 1 0 0 0 0 0 would give the following matrix: 1 3 0 1 3 1 1 1 0.

#MATLAB 2017 SUM EVERY ELEMENT MATRIX CODE#

I am using that code & to me this is looking fine. Note : You do not need to print anything, it has already been taken care of. im looking for a way to sum all adjacent elements in a matrix with 1s and 0s. Hi every one, I want to make a function that take two dimensional matrix as input and return sum of its diagonal (index for row and col will be same) and element right to this diagonal (sum of upper triangular elements). Given five positive integers, find the minimum and maximum values that can be calculated by summing exactly four of the five integers. reduce and how cool it is, the first and sometimes the only example you find is the sum of numbers. It is used to show the summation of data as it grows with time (updated every time a. Input: grid =, , ] Output: 7 Explanation: Because the path 1 → 3 → 1 → 1 → 1 minimizes the sum. Explanation: Value of each node is replaced by the sum of all its subtrees and the node itself.The same result is obtained in MATLAB, e.g. However, the result you show with numpy is simly the addition of the scalar to all matrix elements. Given an array of integers arr consisting of N integers, the task is to minimize the sum of the given array by performing at most K operations, where each operation involves reducing an array element arr to floor(arr/2). I looks like you mean that in MATLAB or numpy matrix scalar addition equals addition with the identy matrix times the scalar.To find the sum of the list in Python, use the sum() function.To calculate the sum of elements in each column: Two loops will be used to traverse the array where the outer loop select a column, and the inner loop represents the rows present in the matrix a. Now this task can simply be solved by saying $,0) Steps to Find the Sum of Prime Numbers. First we’ll measure distance from center of the image to every border pixel values. If any element is less than the selected element then swap the values. Read or initialize the lower and upper limit. The second line contains N space-separated. Given an array of N integers, can you find the sum of its elements?.We can still reduce the A in which to search for tuple. Adding an array with the same dimensions adds only the. TCS CodeVita is one of the toughest coding competition throughout the world. Adding a scalar to an array adds the scalar to every element in the array. Your task is to minimize the sum of the final array and print the minimum sum.

#Matlab 2017 sum every element matrix

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luxuryidea441 · 3 years ago

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