Algoritm Jobs

Tasks (a) Implement a tridiagonal solver in Python. The function to implement must be called tri_solver, with input/output as described in the template. A tri-diagonal solver is a simplified Gaussian elemination solver that makes use of the banded nature of the matrix to reduce the amount of storage and computation required. We give you the following pseudo-code to get started: % Inpu t : % l ( 0 :N−1) −− a r ra y o f s i z e N c o n t ai ni n g low e r di a g o n al % u ( 0 :N−1) −− a r ra y o f s i z e N c o n t ai ni n g upper di a g o n al % d ( 0 :N) −− a r ra y o f s i z e N+1 c o n t ai ni n g main di a g o n al % b ( 0 :N) −− a r ra y o f s i z e N+1 c o n t ai ni n g the r i g h t hand s i d e . 3 % Output : a r ra y b i ...

I have some problems in optimization which should be solved by Lagrangian relaxation, decomposition, and column generation. Please make sure you can solve it and then message me. I will send you the files.

Build a simple forex EA based on the crossing of indicators I will provide. Please see the screenshot provided. Kindly take note of the project fee.

Hi, freelancers!!! I am looking for senior machine learning engineer who can construct long-term relationship with me. If you are not a expert, please don't place a bid so that you can avoid painful interview process. Thanks.

I want a person who is experrt in matlab who can perform optimization of antenna using algorithms.

Plant leave disease classification using conventional neural network and Linear vector quantization and improve model accuracy,f score in phython

Developer, Data Scientitist, Mathematican, Statistician that has deep experience in python, machine learning and AI to produce predictive pricing model based on daily changes in the market. This would be produced on a project basis and result in future project work on an ongoing basis as based on performance. Dataset to be provided including training attributes for both supervised and unsupervised learning. All work to be completed and uploaded in our production environment.

Implementation of hashing algorithms for analysis (without the use of libraries) Single program able to call on multiple hashing algorithms ready for analysis. Hoping to brute force the hashes created and don't have that much processing power available to do so, if it is possible to weaken the hashing algorithms to allow for this that would be great .

I need a developer who can develop a project in COOJA which is C based network simulator, and perform the following: 1) Modify RPL objective function metrics. 2) Modify RPL objective function to add multipaths according to the available traffic types. 3) Produce results with graphs.

I need a developer who can develop a project in COOJA which is C based network simulator, and perform the following: 1) Modify RPL objective function metrics. 2) Modify RPL objective function to add multipaths according to the available traffic types. 3) Produce results with graphs.

Looking for person who is capable enough of solve these type of questions for good price. Once I see the potential of that person will talk money.

Matlab coding and simulation of signal processing research paper algorithm for distance estimation through coded frequency hopped signal

We are seeking an experienced individual with a strong background in cryptography and a deep understanding of AES-CMAC (NIST 800-38B) to assist us in finding the AES key used to generate a specific set of outputs from known inputs. The successful candidate must have a thorough understanding of CMAC mode for authentication and be able to analyze and reverse engineer the algorithm to determine the AES key. Responsibilities: Analyze the input and output data to understand the algorithm used Reverse engineer the AES-CMAC algorithm to determine the AES key Provide detailed documentation of the process and findings Communicate effectively with the project team to ensure clear understanding of the results Requirements: Bachelor's or Master's degree in Computer Sc...

I need an application that will detect entity extraction and the relationship between these entities by analyzing a given text using NLP. I should be able to train the AI ​​model myself.

I need a program in matlab to process images of welds. The program should binarize and filter the image so that the weld is separated in black and the background in white. Use all the necessary filters. Then measure the width of the weld bead in several places, if they are droplets then their diameter on the given working area and give the average. You should also examine whether the napin is continuous. I suggest that you garden the workspace to the center of the images on some rectangle, and using, for example, 8 horizontal lines in the range of the weld, check how many black and how many white pixels there are and give the percentage ratio of black/white. Then the script has to create a ranking of the welds, e.g. from the widest to the narrowest, and from the largest % black to the smal...

you have to teach me c by online classes via zoom in 3 hour class english, hindi ,telugu any language must be an expert or developer so i can ask doubts must have to clear all doubts , i am a 17 year old boy so any one intrested take the bid

Deadline: 48 hours, Max. Budget: $40, Mission: complete the code in the "" file in the attachments.

Work with me to create a simple physics N-body simulation in C++. You will be working with the person who understand the mathematics to implement this in C++. The final routine will involve reading data from .gal files, perform iterative mathematical calculation, and finally outputing the last iteration of that calculation. Final product is also expected to utilize Pthreads and OpenMP for parallelization

- I have a number of PDFs that I want to use to train an AI model. You will: 1. Write specific and easy to follow scripts for each step of the process so that I can replicate at another date. 2. Carry out Preprocessing: Clean and preprocess the text data, removing any irrelevant information such as HTML tags, special characters, duplicates, and handle missing values. 3. Tokenize the text into smaller units, such as words or subwords, and convert the text into numerical representations, such as word embeddings, using techniques like stemming, lemmatization, and lowercasing. 4. Carry out text tagging - Assign labels or tags to individual tokens or sequences of tokens in the text (e.g., named entity recognition, sentiment analysis, topic classification, etc.) using spaCy, NLTK, Stanford...

I have set up a strategy, but I am unsure whether it's backtest is reliable. When I want to set an alert, I get warned for repainting. As such, I would like repainting to be eliminated so: - Backtest becomes more reliable - I can implement the strategy using alerts

Requirement : 1. 6 input divided into 3 (2 input = 1 output) and 3 will be the output. 2 layer deep fuzzy 2. From the 3 outputs, 1 fuzzy output should be extracted which will show whether it is risk or no risk 3. 3 part model to be transferred to Simulink 4. 3 of the inputs will be in the datafile that will go to the Simulink model and the output will be in an oscilloscope 5. 2 file should be kept in which data paper or plot can be done from 2 files 6. . By combining 3 Simulink models, 3 outputs should be fitted to 1 neural network, 1 output from the neural network will be output that the patient has risk or no risk. 7. Web application should be made for deep neuro fuzzy system

we need to develop an algorithm, concerning work shifts, to maximize the efficiency of one of our departments.

Quiero hacer un tablero de ajedrez y las piezas en OpenGL c++. Lo necesito para mañana. Pago 30€ por el proyecto

More details will be shared with the freelancer in person.

We need to do simple project for in matlab In order to convert rotation motion to linear displacement a rack and pinion system

je suis a la recherche d'une personne avec une très bonne maitrise du logiciel MATLAB afin qu'il effectue mon TP et m'explique la façon dont il s'es pris contacter moi

required : -New Idea for classification in deep learning technique that have (new layers, adding ML methods, enhanced techniques) -use kaggle dataset and apply it by python -get better result than existing methods -make all figures, performance measurements, plots and architecture layers -write report, flow chart and pseudocode

Review and issue-solving when integrating a computer vision algorithm for product recognition. The results received after analysing the pictures are sometimes wrong (the product is identified but its coordinates seem to be wrong), so the product is said to be in a different location than it actually is, and the accuracy of the product identification is lower than expected.

It is possible to sell forex books, sell any signal, and teach anything in that area, and you won't be able to earn a living with Envis.

I need to implement the code in here:

I need some help on Graph anonymization. I have a library and I want to use its function for graphs. I have pseudocode as well

Basically i need your support to modify a pythin data base code , i will let you know details - I hope you are very Good so basically in need for somone having expert in language data scince related , having deep learning and AI experience how it should be improved, then rewrite it so that it is more modular, more suitable for reuse, and properly defensive in terms of errors.

cloud computing, task scheduling, Resource Scheduling, CloudSim, Matlab

I want to annotate a text dataset for machine learning development. The freelancer will map the sentence as 1/0 based on a condition and also filter the entities for the same sentence. The dataset size is 30,000

Looking for a consultant to help us understand methods for determining the uncertainty associated with models we use in the semiconductor industry. Our models are multivariate and nonlinear, but they are trained on input data collected from semiconductor fabs, and for each of thousands of samples (with different characteristics) measured, there are multiple repeat measurements done across some spatial domain such that the mean values for each characteristic are entered into the model training, but in some cases the 95% CI associated with determination of each mean value is also known. We are trying to understand generally how to determine the MODEL PREDICTION 95% CI for the two scenarios of a) only mean values input to the model and b) both mean and 95% CI for measured input data are ava...

Necesito alguien que me ayude a resolver 25 problemas de algebra lineal, operaciones de vectore y matrices entre otros... Son preguntas de opcion multiple.

Want to create tradetron siler micro stretagy. simple buy and sell stretagy.

To merge indicators and set conditions for alert

Need to create few indicators for Quantower.

I am looking for Algorithm Developer who is good at mathematics - Geometry, Algebra and OpenCV.

I'll need to use the brain connectivity toolbox (BCT) to calculate some metrics (e.g., efficiency). IS ANYONE familiar with this toolbox? I need a run through / tutorial

Hey I have a trading strategy via trading view. I want to backtest and potentially build it in a bot. Would that be something you would be able to do? I want to know how much $25,000 would grow in the year 2022. Trade 5% of portfolio per trade. -10% trailing stop and sell when 25% profit. This would be 1 day till the expiration 1 of the money.

using Machine Learning (WNN, BPNN, SVM, CNN) in Matlab

using Machine Learning (WNN, BPNN, SVM, CNN) in Matlab

Matlab expert for writing some Ml algo code great experts on bpnn,svn, algorithum

Face recognition and verification is a rapidly growing field with numerous applications in digital forensics and information security. This thesis presents a study on the development of a face recognition and verification system for these areas. First, we review the state-of-the-art in face recognition and verification techniques, including deep learning-based methods, and discuss their strengths and limitations. Next, we present the design and implementation of our system, including data collection, feature extraction, and performance evaluation. The system utilizes a deep convolutional neural network (DCNN) for feature extraction and a support vector machine (SVM) for classification. Experimental results show that our system outperforms traditional face recognition techniques in terms...

I need an optimized algorithm written in c++ to sort 2d points along a route. The function shall receive a pointer to a vector that contains a quantity of random points (represented by x,y float coordinates). A typical set will contain 300,000 points. It has to order these points in a way that they form a continuous line, trying to achieve the shortest line possible. Let's say that 3 different people were each holding a pen. There is a somewhat blurred route that goes from location A to location B. These people are told to draw a line along the blurred route starting near one of the locations and going towards near the other (attachment ). For every 'd' distance along the drawn lines, the coordinates of a point are saved in the vector. We do not know which coordinate belong...

Get some professional advice on a machine learning project

i need a programmer to build a calculator which is required in automotive industry , which runs same as 2fa authentication .

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